439 Cuda Jobs - Page 7

Position Summary... What you'll do... Our Team International Data Science team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing, sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart’s global operations. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. Your Opportunity As an Senior Data Scientist for Walmart Global Tech, you’ll have the opportunity to Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Communicate recommendations to business partners and influencing future plans based on insights What You Will Do Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from petabytes of data Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead small teams and participate in data science project teams by serving as the technical lead for project Partner with senior team members to assess customer needs and define business questions Clearly articulate and present recommendations to business partners, and influence future plans based on insights Partner and engage with associates in other regions for delivering best services to the customers around the globe Work with customer centric mindset to deliver high quality business driven analytic solution Mentor peers and analysts across the division in analytical best practices Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Our Ideal Candidate You are a technically strong and high performing individual with excellent communication skills, proven analytical skill set and strong customer focus. You stay updated with latest research and technology ideas, and have a passion to utilize innovative ways to solve problems. You are a good story-teller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders. You have industry knowledge of the retail space, with keen interest in keeping up to date on the latest happenings in this space. What You Will Bring Bachelor's with > 7 years of relevant experience OR Masters with > 5 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 3 years of relevant experience Experience in Analyzing the Complex Problems and translate it into data science algorithms Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal supervised and unsupervised models, Neural Networks, Deep Learning Algorithms Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Lead role mentoring multiple Jr. Analysts on approach and results. Strong Experience in Python, PySpark Google Cloud platform ,Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms – Hadoop (Hive, Map Reduce, HQL, Scala) Additional Preferred Qualifications: Domain Knowledge of one or more divisions in Retail Published papers or given talks in leading academic and research journals Published papers or given talks in Data Science Forums Hold data science related patents Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark Experience in deep learning and worked in TensorFlow and Torch Experience with GPU/CUDA for computational efficiency About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2218103

DS Group is looking for technical expert with a deep knowledge in AI, machine learning/deep learning and Natural language processing. The individual will focus on addressing in-house business challenges to optimize operations and reduce costs, thereby increasing revenue. Job Title : Member Technical Staff Role & Responsibilities Research, develop and deliver products for Industry using machine learning/ computer vision and generative AI tools and algorithms. Skills & Competencies In-depth knowledge of machine learning concepts, algorithms and applications. Knowledge in Generative AI, LLMs. Experience in developing machine learning solutions to Industry. Experience in Object Detection algorithms like YOLO, SSD etc Coding experience in Python. Candidate can build and deploy advanced AI solutions, leveraging tools (like Tensorflow, CUDA toolkit, PyTorch, OpenCV or similar tools) to address complex data and computational challenges. Enthusiastic, Great Attitude, and eager to learn The desired candidate should be a quick thinker and should have a track record of high performance product development. The candidate should be of innovative, hard-working and result oriented. Research experience is preferred. Qualification Experience – 2-4 years Education – B.Tech Degree in CSE or similar field. Master’s degree is a plus.

We look for the risk-takers, the collaborators, the inspired and the inspirational. We want the people who are brave enough to work at the AI, ML based cutting-edge solutions empowering wealth manager, asset managers, asset owners, investors by making sense out of complex fundamental and sustainability data thus aiding impeccable and timely decision making. Key Responsibilities: • Lead and manage IT infrastructure, including servers, networks, and security systems to ensure high availability and performance. • Oversee the desktop engineering team to provide end-user support and ensure smooth operation of desktop computing resources. • Develop and implement IT policies, standards, and procedures to ensure the security and reliability of systems, and to maintain compliance with ISO 27001 and SOC2 Type 2. • Collaborate with other departments to understand their technology needs and provide effective solutions that align with company objectives and compliance requirements. • Manage and mentor a team of IT professionals, including system administrators, developers, desktop engineers, and support staff, fostering a culture of continuous improvement and professional growth. • Ensure compliance with relevant regulations and industry standards (e.g., GDPR, HIPAA), and maintain documentation and procedures for audits. • Monitor system performance and troubleshoot issues promptly to minimize downtime and ensure business continuity. • Plan and execute IT projects, including system upgrades, migrations, and new implementations, within budget and on schedule. • Stay updated with the latest technology trends and integrate relevant advancements into the company’s IT strategy to maintain a competitive edge. Technical Skills: • Advanced experience managing and troubleshooting VM environments, with expertise in hypervisor technologies such as VMware or Hyper-V. • Expertise in software & hardware troubleshooting across a range of systems and platforms. • Strong experience in network architecture and internet connectivity, including management of IP addressing, subnetting, and routing protocols. • Proficient in Active Directory management, including group policies, user provisioning, and authentication services. • Excellent in network administration, including configuring routers, switches, firewalls (specifically Palo Alto), and VPNs. • Experienced with server management, including installing, configuring, and maintaining Windows Server, Red Hat Linux, and Ubuntu servers. • Familiar with AI/ML configurations ( ex: CUDA ) to support data analytics and business intelligence initiatives. • Understanding and familiarity with GPU / HPC servers. • Strong understanding of cybersecurity principles and best practices, including threat analysis, risk assessment, incident response, and security monitoring. • Familiarity with software development frameworks and languages such as Java, C#, Python, or JavaScript for effective collaboration with development teams. • Experience with DevOps tools and practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code. • Familiarity with cloud computing platforms (AWS, Azure, GCP) and services such as Azure AD, EC2, S3, RDS, and Lambda. • Experience with IT service management tools and frameworks (e.g., ITIL, ServiceNow), and the ability to align IT services with business needs. Additional Requirements: • Strong leadership skills with the ability to inspire and motivate a diverse IT team. • Excellent problem-solving skills and the ability to make decisions quickly and effectively. • Exceptional communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders. • Project management experience, with a track record of delivering IT projects on time and within budget. • Proven ability to manage and prioritize multiple tasks and projects simultaneously. • Relevant industry certifications (e.g., CISSP, CCNA, MCSE, RHCE, ITIL) are preferred. • Bachelor's or Master's degree in Information Technology, Computer Science, or a related field, or equivalent work experience Qualifications • Bachelor of Engineering in Computer Science (OR) MCA • 8 -10 of experience • At least 3~4 years of experience in leading/ managing an IT team / projects Who We AreAlphastream.ai - Smarter, Faster, Curated data for Capital Markets powered by AI and ML and complemented by deep domain excellence and functional expertise in financial analysis and investment research. Alphastream.ai fuels innovation, thereby empowering wealth managers, asset managers, hedge funds, banks and investors with accurate & timely information, analytics & tools for simple to complex financial (Fact Stream) as well as non-financial (Sustainability Stream) data both at issuer and security level (Covenant Stream – bonds & loans) also complementing with market information and news (Market Stream) in near real-time. Our APIs and PaaS (Platform As A Service) solutions enable seamless workflow integration and help build efficient & future-ready organisations with unmatched excellence. To learn more about us: https://alphastream.ai/ What we offer "At Alphastream.ai we offer a dynamic and inclusive workplace where your skills are valued and your career can flourish. Enjoy competitive compensation, a comprehensive benefits package, and opportunities for professional growth. Immerse yourself in an innovative work environment, maintain a healthy work-life balance, and contribute to a diverse and inclusive culture. Join us to work with cutting-edge technology, and be part of a team that recognizes and rewards your achievements, all while fostering a fun and engaging workplace culture." How to Apply: Please send your resume and portfolio to hr@alphastream.ai Disclaimer Alphastream.ai is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of all communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Responsibilities Job Description Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation. Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc. Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.). Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability. Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence. Act as a Thought Leader: Stay ahead of emerging trends and shape the company's position in the global AI landscape. Evangelism: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels. Qualifications Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization. PhD in Computer Science, Machine Learning, or a related field. 8+ years of experience in ML/AI, including 4+ years in a leadership role. Proven track record of impactful research contributions, including publications, patents, or open-source work. Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc. Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration. Ability to align research investments with business strategy and measurable outcomes. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. Job Description Responsibilities Set Research Direction: Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation. Drive Key Research in relevant areas of Sprinklr: Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc. Advance the State of the Art: Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.). Bridge Research and Product: Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability. Lead and Grow the Team: Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence. Act as a Thought Leader: Stay ahead of emerging trends and shape the company's position in the global AI landscape. Evangelism: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels. Qualifications Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization. PhD in Computer Science, Machine Learning, or a related field. 8+ years of experience in ML/AI, including 4+ years in a leadership role. Proven track record of impactful research contributions, including publications, patents, or open-source work. Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc. Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration. Ability to align research investments with business strategy and measurable outcomes. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code. What you will be doing: Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs. Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models. What we need to see: A Masters degree or PhD in an engineering or computer science related discipline or equivalent experience and 5+ years of relevant work or research experience. Strong knowledge of C/C++, software design, programming techniques, and AI algorithms. Firsthand work experience with parallel programming, ideally CUDA C/C++. Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Some travel is required for conferences and for on-site visits with developers. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Robotics + Computer vision Engineer who's excited to build from the garage up: --- 🚀 Founding Computer Vision + Robotics Engineer 📍 Gurgaon (initially) → Bangalore (later) 💰 Equity-only role + living/food covered 🏠 We’re a deep-tech garage startup(home), running on passion, early traction, and a government grant. --- At Lakir Technologies, we’re building something bold — India’s first most advance micro drone for Multiple sector. We're past the “idea” stage. We’ve done the research, secured a government grant via Couple of incubator, and now we’re **ready to build**. We’re a **small, technical founding team**, working out of a garage, doing our own integrations, testing, crashing, fixing, and flying again — and we love it. --- 🎯 What We’re Building A Drone which can see, fly complete autonomously and affordable as well --- 🧠 Who We’re Looking For A hands-on **Computer Vision + Robotics Engineer** with experience in some of the following: * 🔹 ROS1/ROS2 * 🔹 depth estimation * 🔹 Visual SLAM (e.g., ORB-SLAM2, RTAB-Map) * 🔹 Point cloud processing (PCL/Open3D) * 🔹 Obstacle avoidance & drone path planning (MoveBase, RRT\*, custom planners) * 🔹 Experience with NVIDIA Jetson (TX2, NX), CUDA * 🔹 Real-time video pipelines (OpenCV, GStreamer, camera calibration) * 🔹 Sensor fusion (IMU + Vision) * 🔹 C++, Python, and comfortable debugging hardware+software stacks You don’t need to check every box — if you’ve **built vision-based robots, drones, or SLAM systems**, and are excited about working from scratch in a real startup environment, we want to talk. --- 💸 Compensation & What We Offer * 📈 **Equity-based role** (we’re building for the long game) * 🏠 We cover **living + food expenses** while we build * 🎯 Massive ownership in core tech, architecture, and roadmap * ❤️ A chance to build something meaningful and *ship it* --- ⚡️ About Us We’re a garage-stage deep-tech startup solving one of the hardest problems in drone autonomy: real-time depth-based vision + full autonomy for multiple use cases. We’re not offering fancy salaries (yet), but we’re offering a front-row seat to invent the future of autonomous drones. --- 📩 How to Apply If you're deeply technical, thrive in uncertainty, and want to build something real — DM me or send your profile to Rohan@lakirtechnologies.com** Let’s build something that flies — and matters. 🙌 --- #drones #robotics #computerVision #SLAM #ROS #startupjobs #JetsonTX2 #visionAI #autonomy #deeptech #garagefounders #equityrole #BangaloreJobs #GurgaonJobs ---

NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code. What You Will Be Doing Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs. Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models. What We Need To See A Masters degree or PhD in an engineering or computer science related discipline or equivalent experience and 5+ years of relevant work or research experience. Strong knowledge of C/C++, software design, programming techniques, and AI algorithms. Firsthand work experience with parallel programming, ideally CUDA C/C++. Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Some travel is required for conferences and for on-site visits with developers. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1976951

NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code. What You Will Be Doing Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs. Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models. What We Need To See A Masters degree or PhD in an engineering or computer science related discipline or equivalent experience and 5+ years of relevant work or research experience. Strong knowledge of C/C++, software design, programming techniques, and AI algorithms. Firsthand work experience with parallel programming, ideally CUDA C/C++. Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Some travel is required for conferences and for on-site visits with developers. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1976951

We are looking for a versatile Software Engineer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Computer Vision. This role also requires experience with video data integration and the ability to combine multiple tools and technologies into a cohesive desktop software application. You will work on performance-critical software solutions that blend real-time vision and AI/ML capabilities with modern UI/UX experiences. The ideal candidate is comfortable working with a variety of programming languages, frameworks, and platforms—whether Python-based or compiled languages like C++ or C#. - Design, develop, and maintain robust PC applications that integrate machine learning and computer vision capabilities. - Build real-time video data pipelines for processing, analysis, and visualization across diverse applications. - Develop, train, and deploy AI/ML models and integrate them into production-grade desktop software. - Combine multiple components—including SDKs, APIs, and standalone tools—into a single, well-structured desktop application. - Work with UX/UI designers, product teams, and system engineers to deliver intuitive and high-performance software. - Ensure code quality, modularity, and performance optimization in complex, data-intensive applications. - Stay up to date with developments in ML, CV, and video technologies and assess their relevance to the product roadmap. ► Mandatory Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 4+ years of professional software development experience. - Strong programming skills in one or more general-purpose languages such as Python. - Solid understanding of machine learning and computer vision, including hands-on experience with tools like TensorFlow, PyTorch, OpenCV, ONNX, etc. - Experience working with video data streams, including decoding, processing, and integrating into applications (e.g., using FFmpeg, GStreamer, Media Foundation, etc.). - Experience integrating third-party tools, SDKs, or APIs into cohesive desktop solutions. - Familiarity with multithreading, performance optimization, and real-time system constraints. ► Preferred Qualifications - Experience with GPU programming (CUDA, DirectML, Vulkan) and hardware acceleration. - Familiarity with C++, C#. - Knowledge of application architecture patterns and modular software design. - Prior experience in domains such as surveillance, healthcare, industrial automation, automotive, or video analytics. - Familiarity with building desktop applications using frameworks like Qt, WPF, .NET, Electron, or cross-platform toolkits.

Role Overview The Development Head will lead the software engineering function for our cloud infrastructure product lines, with a primary emphasis on AI/GPU and HPC services. This role encompasses architecture oversight, technical strategy, and team leadership, ensuring that development initiatives align with product and business goals. Youll partner closely with product management, operations, and customer success teams to deliver cutting-edge, scalable, and secure solutions that cater to demanding enterprise and research workloads. Key Responsibilities Leadership & Strategy Define and drive the technical roadmap for CPU/AI/GPU-enabled cloud infrastructure, ensuring alignment with overall product vision. Champion best practices (design patterns, coding standards, CI/CD, DevOps) and foster a culture of innovation and continuous improvement within the development teams. Architecture & Design Oversee end-to-end system architecture for HPC and CPU/GPU-accelerated software platforms, working with architects and senior engineers. Guide decisions around microservices vs. monolithic approaches, API design, database schemas, and infrastructure (e.g., Kubernetes, multi-cloud, edge computing). Team Management & Development Manage multiple development squads or technical teams, setting objectives, conducting performance reviews, and identifying growth opportunities. Recruit, mentor, and retain top engineering talent, promoting a healthy and collaborative work environment that encourages professional growth. Collaboration & Cross-Functional Partnership Partner with Operations/SRE teams to ensure software reliability, scalability, and efficient GPU resource utilization, building robust release pipelines. Quality & Delivery Own end-to-end delivery of product releases, ensuring code quality, performance, and adherence to internal and customer-facing SLAs. Implement agile methodologies (Scrum, Kanban) or suitable delivery frameworks to balance speed, quality, and predictability. Drive the creation and adoption of unit, integration, and performance testing strategies tailored to HPC/AI workloads. Innovation & R&D Stay abreast of the latest trends in GPU acceleration, HPC frameworks (e.g., CUDA, MPI), AI/ML libraries, and multi-cloud architectures. Budget & Resource Planning Manage departmental budgets, tool licensing, and hardware procurement (e.g., GPU servers, HPC clusters) in alignment with company goals. Ensure cost-effective resource allocation across projects, balancing ROI with innovation needs. Security & Compliance Ensure development processes meet industry standards (SOC 2, ISO 27001, etc.) and data protection regulations, especially for HPC/AI data sets. (ref:hirist.tech)

As an AI Research Apprentice you'll push the frontiers of generative and multimodal learning that power our autonomous robots. You will prototype diffusion-based vision models, vision-language architectures (VLAs/VLMs) and automated data-annotation pipelines that turn raw site footage into training gold. Key Responsibilities Design and train diffusion-based generative models for realistic, high-resolution synthetic data Build compact Vision-Language Models (VLMs) to caption, query and retrieve job-site scenes for downstream perception tasks Develop Vision-Language Alignment (VLA) objectives that link textual work-orders with pixel-level segmentation masks Architect large-scale auto-annotation pipelines that transform unlabeled images / point-clouds into high-quality labels with minimal human input Benchmark model performance on accuracy, latency and memory for deployment on Jetson-class hardware; compress with distillation or LoRA Collaborate with perception and robotics teams to integrate research prototypes into live ROS 2 stacks Qualifications & Skills Strong foundation in deep learning, probabilistic modeling and computer vision (coursework or research projects) Hands-on experience with diffusion models (e.g., DDPM, Latent Diffusion) in PyTorch or JAX Familiarity with multimodal transformers / VLMs (CLIP, BLIP, Flamingo, LLaVA, etc.) and contrastive pre-training objectives Working knowledge of data-centric AI: active learning, self-training, pseudo-labeling and large-scale annotation pipelines Solid coding skills in Python, PyTorch / Lightning, plus git-driven workflows; bonus for C++ and CUDA kernels Bonus: experience with on-device inference (TensorRT, ONNX Runtime) & synthetic data tools (Isaac Sim) Why Join Us Research bleeding-edge generative & multimodal tech and watch it land on real construction robots Publish, patent and open-source: we encourage conference submissions and community engagement Help build a company from the ground up—your experiments can become flagship product features Requirements PyTorch or JAX C++ CUDA kernels ONNX Runtime TensorRT Isaac Sim Latent Diffusion

Drive the next wave of generative and multimodal intelligence that powers our autonomous drywall-finishing robots. As a core member of the AI Research team, you'll turn cutting-edge vision-language and diffusion advances into robust, real-time systems that see, reason, and act on dynamic construction sites. Key Responsibilities Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis, and domain adaptation Architect and train Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that connect textual work orders, CAD plans, and sensor data to pixel-level understanding Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2 Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation, and production hand-off to perception & controls teams Publish internal tech reports and external conference papers; mentor interns and junior engineers Qualifications & Skills 3+ years in deep-learning R\&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo) Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision Advanced proficiency in Python, PyTorch (or JAX), experiment tracking, and scalable training (PyTorch Lightning, DeepSpeed, Ray) Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning Strong mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code Bonus: experience with synthetic data generation in Isaac Sim, or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D) Why join us? Own breakthrough tech from idea to autonomous robot on active job-sites—your work leaves the lab fast Collaborate cross-functionally with perception, controls, and product teams & publish at top venues with company support Shape an industry by replacing dangerous, repetitive construction labor with intelligent robots Competitive salary + equity, hardware budget, flexible hybrid work, and a culture that prizes deep work and rapid iteration Requirements Vision-Language Models Vision-Language Alignment R\&D Ph.D./M.S. in CS, EE, Robotics TensorRT, ONNX Runtime CUDA / C++

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Job Information Department Name Platforms & Compilers Job Type Full time Date Opened 04/07/2025 Industry Software Development Minimum Experience In Years 4 Maximum Experience In Years 6 City Ramapuram Province Tamil Nadu Country India Postal Code 600089 About Us MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators. MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently. We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help. Job Description We are seeking a talented engineer to implement and optimize machine learning, computer vision, and numeric libraries for target hardware architecture, including CPUs, GPUs, DSPs, and other accelerators. Your expertise will be instrumental in enabling efficient and high-performance execution of algorithms on these hardware platforms. Key Responsibilities: Implement and optimize machine learning, computer vision, and numeric libraries for target hardware architectures, including CPUs, GPUs, DSPs, and other accelerators. Work closely with software and hardware engineers to ensure optimal performance on target platforms. Implement low-level optimizations, including algorithmic modifications, parallelization, vectorization, and memory access optimizations, to fully leverage the capabilities of the target hardware architectures. Work with customers to understand their requirements and implement libraries to meet their needs. Develop performance benchmarks and conduct performance analysis to ensure the optimized libraries meet the required performance targets. Stay current with the latest advancements in machine learning, computer vision, and high-performance computing. Qualifications: BTech/BE/MTech/ME/MS/PhD degree in CSE/IT/ECE > 4 years of experience working in Algorithm Development, Porting, Optimization & Testing Proficient in programming languages such as C/C++, CUDA, OpenCL, or other relevant languages for hardware optimization. Hands-on experience with hardware architectures, including CPUs, GPUs, DSPs, and accelerators, and familiarity with their programming models and optimization techniques. Knowledge of parallel computing, SIMD instructions, memory hierarchies, and cache optimization techniques. Experience with performance analysis tools and methodologies for profiling and optimization. Knowledge of deep learning frameworks and techniques is good to have Strong problem-solving skills and ability to work independently or within a team.

We're Hiring: HPC Application Engineer 📍 Location: Hyderabad 🕐 Experience: 3+ years 🌐 Expertise: HPC, GPU, CUDA, Parallel programming, Fortran, OpenMPI Do you thrive at the intersection of cutting-edge computation and scientific innovation? At SHI LOCUZ, we’re seeking a passionate and skilled HPC Application Engineer to help drive the performance, scalability, and usability of our high-performance computing systems and applications. 🛠️ What You’ll Do: Work with domain scientists, software developers, and system engineers to optimize and deploy HPC applications across diverse architectures (CPU, GPU, cloud-based). Benchmark, profile, and tune performance-critical applications to run efficiently on modern HPC platforms. Contribute to the development and maintenance of software stacks supporting computational science workflows. Provide expert support for users running large-scale simulations, data analytics, or AI/ML workloads on HPC systems. Collaborate on proposals, research publications, and technical documentation. 📌 Key Qualifications: Bachelor’s or Master’s degree in Computer Science, Computational Science, Engineering, or related field (PhD is a plus). Strong programming skills in C/C++, Fortran, Python, or similar. Experience with parallel programming paradigms (MPI, OpenMP, CUDA, HIP, etc.). Familiarity with workload managers (SLURM, PBS), containerization (Singularity, Docker), and profiling tools (VTune, gprof, NVIDIA Nsight). Background in computational science domains (e.g., physics, chemistry, life sciences, AI/ML) is a plus. 🌍 Why Join Us? Work with a team passionate about solving some of the world’s most complex computational challenges. Access to leading-edge hardware and software environments. Collaborative, innovative culture with continuous learning opportunities. Flexible working arrangements, competitive compensation, and benefits. 📬 Ready to Apply? If you're excited to accelerate science and technology through high-performance computing, we’d love to hear from you!

CTO&/CTO&/2025/2685598 Job Title: Vision X Principal with Gen / AI architect. Location: Chennai and Noida Exp :- 15 to 20+ Primary skills :- Vision AI Solution, Nvidia, Computer Vision, Media, Open Stack. Job Type: Full-time Band : E5 Key Responsibilities Define and lead the end-to-end technical architecture for vision-based AI systems across edge and cloud. Design and optimize large-scale video analytics pipelines using NVIDIA DeepStream, TensorRT, and Triton Inference Server. Architect distributed AI systems, including model training, deployment, inferencing, monitoring, and continuous learning. Collaborate with product, research, and engineering teams to translate business requirements into scalable AI solutions. Lead efforts in model optimization (quantization, pruning, distillation) for real-time performance on devices like Jetson Orin/Xavier. Drive the integration of multi-modal AI (vision + language, 3D, audio) where applicable. Guide platform choices (e.g., edge AI vs cloud AI trade-offs), ensuring cost-performance balance. Mentor senior engineers and promote best practices in MLOps, system reliability, and AI observability. Stay current with emerging technologies (e.g., NeRF, Diffusion Models, Vision Transformers, synthetic data). Contribute to internal innovation strategy, including IP generation, publications, and external presentations. ________________________________________ 🛠️ Required Technical Skills Deep expertise in computer vision, deep learning, and multi-modal AI. Proven hands-on experience with: NVIDIA Jetson, DeepStream SDK, TensorRT, Triton Inference Server TAO Toolkit, Isaac SDK, CUDA, cuDNN Strong in PyTorch, TensorFlow, OpenCV, GStreamer, and GPU-accelerated pipelines. Experience deploying vision AI models at large scale (e.g., 1000+ cameras/devices or multi-GPU clusters). Skilled in cloud-native ML infrastructure: Docker, Kubernetes, CI/CD, MLflow, Seldon, Airflow Proficiency in Python, C++, CUDA (or PyCUDA), and scripting. Familiar with 3D vision, synthetic data pipelines, and generative models (e.g., SAM, NeRF, Diffusion). Experience in multi modal (LVM/VLM), SLMs, small LVM/ VLM, Time series Gen AI models, Agentic AI, LLMOps/Edge LLMOps, Guardrails, Security in Gen AI, YOLO/Vision Transformers ________________________________________ 🤝 Soft Skills & Leadership 10+ years in AI/ML/Computer Vision, with 8+ years in technical leadership or architect roles Strong leadership skills with experience mentoring technical teams and driving innovation. Excellent communicator with the ability to engage stakeholders across engineering, product, and business. Strategic thinker with a practical mindset—able to balance innovation with production-readiness. Experience interfacing with enterprise customers, researchers, and hardware partners. ________________________________________ 🧩 Preferred Qualifications MS or PhD in Computer Vision, Machine Learning, Robotics, or a related technical field ( Added Advantage ) Experience with NVIDIA Omniverse, Clara, or MONAI for healthcare or simulation environments. Experience in domains like smart cities, robotics, retail analytics, or medical imaging. Contributions to open-source projects or technical publications. Certifications: NVIDIA Jetson Developer, AWS/GCP AI/ML Certifications. ________________________________________

Job Information Department Name Platforms & Compilers Job Type Full time Date Opened 04/07/2025 Industry Software Development Minimum Experience In Years 4 Maximum Experience In Years 6 City Ramapuram Province Tamil Nadu Country India Postal Code 600089 About Us MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators. MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently. We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help. Job Description We are seeking a talented engineer to implement and optimize machine learning, computer vision, and numeric libraries for target hardware architecture, including CPUs, GPUs, DSPs, and other accelerators. Your expertise will be instrumental in enabling efficient and high-performance execution of algorithms on these hardware platforms. Key Responsibilities: Implement and optimize machine learning, computer vision, and numeric libraries for target hardware architectures, including CPUs, GPUs, DSPs, and other accelerators. Work closely with software and hardware engineers to ensure optimal performance on target platforms. Implement low-level optimizations, including algorithmic modifications, parallelization, vectorization, and memory access optimizations, to fully leverage the capabilities of the target hardware architectures. Work with customers to understand their requirements and implement libraries to meet their needs. Develop performance benchmarks and conduct performance analysis to ensure the optimized libraries meet the required performance targets. Stay current with the latest advancements in machine learning, computer vision, and high-performance computing. Qualifications: BTech/BE/MTech/ME/MS/PhD degree in CSE/IT/ECE > 4 years of experience working in Algorithm Development, Porting, Optimization & Testing Proficient in programming languages such as C/C++, CUDA, OpenCL, or other relevant languages for hardware optimization. Hands-on experience with hardware architectures, including CPUs, GPUs, DSPs, and accelerators, and familiarity with their programming models and optimization techniques. Knowledge of parallel computing, SIMD instructions, memory hierarchies, and cache optimization techniques. Experience with performance analysis tools and methodologies for profiling and optimization. Knowledge of deep learning frameworks and techniques is good to have Strong problem-solving skills and ability to work independently or within a team.

Company Description 👋🏼 We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience: 10+ years. Strong experience with LLMs (LLaMA, DeepSeek, etc.) and understanding of RAG pipelines. Hands on experience in Python, Linux, and Shell scripting Experience with OpenCV, PyTorch, YOLO, or TensorFlow frameworks Familiarity with LLM inference engines like Ollama, vLLM, llama.cpp Solid knowledge of model conversion and deployment. Experience working on AI Agents, LangChain, and retrieval-augmented generation (RAG) Hands-on experience with Docker, Docker Compose, and integration into DevOps pipelines Understanding of embedded platforms (Jetson, NXP, Qualcomm) and Yocto builds. Experience in model optimization techniques (quantization, pruning, etc.) Good grasp of CUDA kernels and GPU computing for acceleration Excellent communication skills and the ability to collaborate effectively with cross-functional teams. RESPONSIBILITIES: Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it Determining and implementing design methodologies and tool sets Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement Giving constructive feedback to the team members and setting clear expectations. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Opportunity Description: Senior AI/ML Computer Vision Engineer - Tech Lead At Jinn Labs, we’re reimagining how retail security works—using cutting-edge Vision AI to stop theft before it happens. Our mission? Solve the $100B shrinkage problem in retail with AI-native agents that detect, understand, and act—starting with the most expensive and overlooked issue: employee theft. Who should consider this opportunity? We’re looking for candidates who geek out on every stage of the computer-vision pipeline: whether you’re wrangling raw pixels into meaningful features, architecting and running experiments to validate new models, or building bullet-proof data-cleaning pipelines that tame messy, real-world footage. You’ll apply applied statistics at scale—A/B testing architectures, tuning hyperparameters against principled metrics, and interpreting confidence intervals—to drive measurable gains in detection and re-identification accuracy. If you love transforming noise into insight and seeing your algorithms deployed in live retail settings—where each increment in performance directly reduces shrinkage and elevates the customer experience n this role, you’ll also take the helm in shaping the vision and design of our solutions: defining the core problem statements, mapping out end-to-end data flows, and translating business goals into actionable technical roadmaps. You’ll guide cross-functional teams on experiment design, set success criteria, and prioritize features based on impact and feasibility. Your ability to frame complex challenges, sketch out robust evaluation plans, and push stakeholders toward clear, data-driven decisions will be critical to fast-tracking our path from prototype to production. What We’re Building: Our real-time system integrates seamlessly with existing cameras and POS setups in convenience stores, gas stations, and small-format retail. No human monitoring. Just actionable insights, automated responses, and a measurable impact on the bottom line. Why Jinn? We’re backed by the Allen Institute for AI (AI2) and have a team with over 100 years of experience across computer vision, ML, and production engineering. Our founders and advisors have driven growth at Amazon, Microsoft, LinkedIn, Rippling, and more. We’ve already helped our first customers unlock major ROI—and we’re just getting started. Why Now? We’re well-funded, on the path to raise our seed round, and scaling fast. Joining us now means shaping the core product, influencing the roadmap, and building a system that will be in thousands of stores in the next year. What You’ll Do: Build CV models that run reliably in the wild—across edge devices and cloud pipelines Work with a world-class team obsessed with scientific rigor and product impact Tackle challenges across detection, tracking, multi-modal fusion, and real-time inference Own your work, end-to-end—from research to production We’d Love to Meet You If: You’ve shipped ML/CV models in production (bonus if it’s on the edge) You’re excited by real-world messiness and solving hard technical problems You want your work to matter—measurably—to customers, not just metrics You’re ready to grow fast with a startup that’s moving even faster (More details below) Role Description The Senior Computer Vision Engineer will be responsible for developing and implementing advanced computer vision algorithms, pattern recognition models, on cloud and on the edge computing to improve retail security and operational efficiency. Key Responsibilities Lead the design, development, training, and deployment of state-of-the-art computer vision and machine learning models for real-time applications in retail environments. Develop and optimize algorithms for tasks such as: Real-time object detection, tracking (people, products), and re-identification. Action recognition and behavior analysis for identifying theft-related activities and operational inefficiencies. Anomaly detection in video feeds and integrated POS data. Architect and implement robust MLOps pipelines for model versioning, training, deployment, monitoring, and continuous improvement on both edge devices and cloud platforms. Optimize model performance (latency, throughput, accuracy) for deployment on edge devices with limited computational resources Collaborate closely with software engineers to integrate CV models into the broader product architecture and ensure seamless data flow from existing camera infrastructure and POS systems. Work with large-scale, real-world video datasets, including developing strategies for data acquisition, augmentation, annotation, and quality control. Mentor junior engineers and contribute to a culture of technical excellence and innovation. Contribute to system-level design and decision-making regarding our vision pipeline and overall AI capabilities. Required qualifications 5+ years of hands-on experience in developing and deploying computer vision and machine learning models in production environments. Deep understanding and practical experience with PyTorch, NumPy; strong proficiency with CUDA for GPU acceleration. Ability to work with different model architectures including transformers, CNN and LSTM. Demonstrable experience processing and analyzing multiple concurrent video feeds in real-time, with deployments on edge devices and/or cloud platforms. Expert programming skills in Python; proficiency in C++ is a strong plus for performance-critical components. Strong theoretical understanding and practical application of Computer Vision techniques (e.g., image processing, feature extraction, multi-view geometry) and Pattern Recognition. Extensive experience in the end-to-end lifecycle of AI vision models, including data collection, labeling and annotations, training from scratch, fine-tuning, evaluation, and deployment. Strong analytical and problem-solving skills Preferred qualifications Master's or Ph.D. in Computer Science, with a specialization in Computer Vision or Machine Learning. Knowledge of at least one cloud provider stack (GCP preferred) Experience with quantization, pruning, knowledge distillation, TensorRT, ONNX Experience with edge computing platforms and SDKs (e.g., NVIDIA Jetson, DeepStream SDK, Hailo, Raspberry Pi). * Understanding of challenges specific to retail environments (e.g., varying lighting conditions, occlusions, camera angles, low-resolution footage) Send your cover letter and resume to Hr@jinnlabs.ai for consideration.

Duration : 1-year contractual position Location-Remote Notice Period : Within 20 days Education : B.Tech, B.E Interview Process : 1st- Technical, 2nd - Technical round & 3rd - HR Round Mandatory : End-to-end C++ skills Skills Required : - C, C++ - Qt/QML - OOPs - STL, Data Structures - JavaScript - Automotive Product Development - Android Application Development - Java - API - GitLab CI/CD - GitHub, Gerrit - Jira, Zoho - PostgreSQL, SQLite, JSON - MVVM Architecture - Testing - Debugging - Linux, Unix Job Description : We are seeking an experienced Developer with a strong background in C++, CUDA programming, and Linux to guide our development team in building cutting-edge solutions for device integration and high-performance computing tasks. This is a hands-on leadership position that combines technical expertise with team management skills to deliver high-quality software products. Primary responsibilities : Software Development : - Develop and maintain high-performance applications using C++ and CUDA. - Design and implement parallel algorithms for GPUs to accelerate computational workloads. Performance Optimization : - Optimize CUDA kernels for performance, scalability, and memory efficiency. - Analyze performance bottlenecks and propose innovative solutions. Code Review and Testing : - Conduct code reviews to ensure adherence to coding standards and best practices. - Develop and execute test cases to validate functionality and performance. Collaboration : - Work closely with the software engineering and research teams to understand requirements and deliver robust solutions. - Provide technical guidance and mentoring to junior team members when necessary. Documentation : - Write and maintain technical documentation, including design specifications and user manuals. Required Skills : - C++ : Strong proficiency in modern C++ (C++11/14/17/20). - CUDA Programming : Extensive experience in developing, debugging, and optimizing CUDA applications. - GPU Optimization : Familiarity with memory hierarchy, shared memory, streams, and warp-level operations in CUDA. - Parallel Computing : Solid understanding of parallel algorithms and multi-threaded programming. - Mathematical and Analytical Skills : Strong foundation in linear algebra, calculus, and numerical methods. - Tools : Experience with debugging/profiling tools like Nsight, CUDA Memcheck, or similar.

Lead HPC delivery teams, define strategy, mentor staff, align capacity with business goals, and manage performance. Required Candidate profile Strong leadership and technical experience in HPC, with ability to manage teams and drive innovation.

Develop and optimize HPC applications using MPI, OpenMP, CUDA, and cloud platforms; collaborate across R&D teams. Required Candidate profile Experienced in scientific computing, parallel programming, performance engineering and software design.

Senior HPC/AI Applications Engineer Experienced HPC/AI Applications Engineer with 5+ years in High-performance computing and AI application deployment. Expert at architecting, optimizing, and benchmarking CPU/GPU-intensive environments, ensuring maximum efficiency in scientific and ML workloads. Mastery over Open-source and Commercial HPC/AI Applications. Deep experience installing, benchmarking, and fine-tuning open-source applications, libraries, and compilers across CPU and GPU platforms. Proficient deploying and optimizing and benchmarking scientific codes (WRF, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, GATK, Ansys, Abaqus, MATLAB, LS‑DYNA, Nastran, CAE/CFX) etc. Compiler & Library Optimization - Advanced user of Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries (OpenMPI, MPICH, Intel MPI). Deep profiling insights via Nsight, VTune, PAPI. Expert in AI frameworks: TensorFlow (CPU/GPU), PyTorch, Keras, Theano, Caffe, cuDNN. Strong knowledge of NVIDIANGC, NIM & NeMo. Proficient with workload & resource managers (PBS, LSF, SLURM, Kubernetes). Knowledge of application installation tools source code, cmake, spack, easy build, mamba etc. Benchmarking experience in accelerated HPC: HPL, HPCG, STREAM and MLPerf and scientific applications. Skilled in NVIDIA GPU tuning, CUDA and NIM workflows, kernel optimization, memory throughput tuning, and multi-GPU scaling strategies. Knowledge of frameworks such as Hugging Face, OpenAI, or other GenAI platforms. Knowledge in data preprocessing and model evaluation tool. Fluent in Bash, Python, and other scripting languages to automate installation, deployment, performance testing, and administrative tasks. Strong interpersonal skills; versed in customer interaction, technical documentation, and collaboration with cross-functional teams.

Key Responsibilities : Design, develop, and deploy advanced image and video generation systems using deep learning models. Lead research and prototyping of diffusion , GAN , and transformer-based architectures for generative tasks. Optimize models for quality, speed, and scalability using accelerated compute (CUDA, TensorRT, etc.) . Work with cross-functional teams (Product, Design, Frontend) to integrate AI pipelines into production apps or platforms. Contribute to system architecture and ensure reproducibility, versioning, and evaluation of models. Evaluate new advancements in generative AI and drive R&D to production transition. Required Qualifications : 2+ years of hands-on experience in AI/ML with a strong focus on generative models. Proven experience working with video generation models (e.g., Sora, Gen-2 by Runway, Synthesia, or custom pipelines). Strong background in image generation using Diffusion Models (Stable Diffusion, DALL·E, Imagen) or GANs (StyleGAN2/3). Proficient in Python and deep learning libraries: PyTorch, TensorFlow, or JAX. Experience with training large-scale models using multi-GPU setups (e.g., DDP, DeepSpeed, or Hugging Face Accelerate). Solid knowledge of computer vision, image processing, and neural rendering techniques. Hands-on with model fine-tuning, LoRA/PEFT, ControlNet, DreamBooth, etc. Preferred Tools & Frameworks : Stable Diffusion, DALL·E, MidJourney, Sora, Gen-2, VQ-GAN, Pix2Pix, CycleGAN, AnimateDiff ControlNet, T2I-Adapter, VideoCrafter, Pika Labs, ZeroScope, ModelScope FastAPI, Flask, or gRPC for serving models Streamlit, Gradio, or React (frontend) for rapid prototyping AWS / GCP / Azure, especially with GPU instances TorchServe, NVIDIA Triton, or Vertex AI for scalable model serving Job Type: Full-time Pay: Up to ₹800,000.00 per year Benefits: Flexible schedule Schedule: Day shift Monday to Friday Experience: Machine learning: 2 years (Required) Work Location: In person Expected Start Date: 01/08/2025