432 Cuda Jobs

Job Title C++ Developer Contractual | Immediate Joiner | Mumbai (Onsite) Job Description We are hiring for a C++ Developer position for one of our esteemed clients, a leader in device integration and high-performance computing. This is a 1-year contract-based opportunity with the potential for extension or permanent absorption based on performance. The role is onsite at Kandivali, Mumbai, and is open strictly to local candidates who are available to join within 20 days. The ideal candidate will be a passionate and experienced developer with end-to-end C++ development expertise, along with proficiency in CUDA programming, GPU performance tuning, and parallel computing. You will be working on real-time, high-performance applications and GPU-accelerated tasks, collaborating closely with software engineers and researchers to bring innovative solutions to life. Key Responsibilities Develop and maintain high-performance software applications using modern C++ (C++11/14/17/20). Design and implement GPU-accelerated algorithms using CUDA to optimize system performance. Optimize CUDA kernels for memory efficiency, scalability, and overall performance. Conduct code reviews to ensure adherence to best practices and clean coding standards. Create and execute test plans to validate performance and functionality. Analyze and troubleshoot performance bottlenecks using appropriate debugging and profiling tools. Collaborate with cross-functional teams including product development, QA, and RD to deliver robust and reliable software. Provide technical mentorship to junior developers as needed. Maintain clear and comprehensive documentation for all software components and processes. Required Skills Experience 4 to 5 years of hands-on experience in C++ software development. Strong command of modern C++ standards (C++11/14/17/20). Proven experience with CUDA programming and developing GPU-accelerated solutions. Good understanding of parallel computing, multithreading, and GPU architecture. Experience with CUDA optimization techniques: memory hierarchy, streams, warp-level primitives, etc. Familiarity with tools such as Nsight, CUDA Memcheck, or other debugging/profiling utilities. Strong analytical and mathematical skills including knowledge of linear algebra and numerical methods. Job Details Location: Kandivali, Mumbai (Only local candidates will be considered) Work Mode: Work From Office (No hybrid/remote options) Type: Full-time, Contractual 1 Year Notice Period: Immediate joiners or max 20 days Why Apply? Opportunity to work on cutting-edge CUDA and high-performance computing projects. Exposure to a highly technical and collaborative environment. Chance for contract-to-hire based on performance. Note This role is strictly for candidates who are currently based in Mumbai and can join on short notice. Profiles from other locations will not be considered. Key Skills C++, CUDA, GPU Programming, Parallel Computing, Multithreading, Nsight, Memory Optimization, High-Performance Computing, CUDA Kernel Development This job is provided by Shine.com

Job Title: TL/ Manager -AIML (Image Processing )(Healthcare /Medical domain experience is preferable) Experience - Min 7yrs to 12years . Company: Optra Scan India Pvt Ltd Location: Pune (Near Pune Station) About Optra Scan: Optra Scan is a leading provider of AI-powered digital pathology solutions, revolutionizing the way pathology is practiced worldwide. Our cutting-edge technology enables pathologists and researchers to make accurate diagnoses efficiently and effectively, ultimately improving patient outcomes. Job Description: Optra Scan is seeking a talented and motivated AI/ML professional to join our dynamic team. As an AI/ML professional, you will play a pivotal role in the development and implementation of machine learning algorithms and AI models to enhance our digital pathology platform. You will collaborate closely with cross-functional teams to drive innovation and deliver solutions that address complex challenges in healthcare. Responsibilities: Design, develop, and implement machine learning algorithms and AI models for digital pathology applications. Analyze large-scale medical imaging datasets and extract meaningful insights to improve diagnostic accuracy and efficiency. Optimize algorithms for performance, scalability, and robustness in real-world clinical settings. Collaborate with software engineers, pathologists, and data scientists to integrate AI/ML solutions into our digital pathology platform. Stay updated on the latest advancements in AI/ML technologies and contribute to continuous learning and improvement within the team. Participate in code reviews, documentation, and knowledge sharing activities to maintain high standards of software quality and best practices. Requirements: Python, TensorFlow, PyTorch, MATLAB, CUDA programming, Image Processing, NLP, Neural networks and multithreading knowledge Min. 6+ yr of relevant experience Knowledge of AI/ML technology, Data Science, NLP, Machine learning, Imaging Algorithms development in medical domain. object oriented design/development skills, Knowledge of image analysis methods, techniques and practices Experience in C++ and Python is required If you would like to explore this opportunity kindly revert with resume.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Preferred Qualifications Interested in enabling next generation graphics, games, ray tracing, machine learning, image and video processing, even Mars drones? In the GPU Developer Tools team, you will contribute to initiatives that provide developers the capabilities to learn, debug, and advance these technologies and more. The Qualcomm Adreno GPU Software team is looking for talented engineers to work on next generation GPU Developer Tools. Responsibilities include the design and development of profiling and performance analysis tools, GPU debugging tools, collaborating with GPU hardware and software teams on performance validation and analysis, new feature development, debugging issues, optimizing for the user experience, and working with the developer ecosystem, our partners, and OEMs. This role is an opportunity to shape how developers optimize for the Snapdragon Adreno GPU and have insight into next generation GPU hardware design. Our efforts in GPU Developer Tools create opportunities for our team members to learn new technologies and engage in full stack development ranging from user interfaces to graphics driver instrumentation. Experience in developing real-time software applications, graphics and/or GPGPU applications, games, middleware, drivers, or developer tools is a big plus. Principal Duties And Responsibilities In this role, you will: Design and develop profiling, performance analysis, and debugging tools features. Collaborate with GPU hardware and software teams on performance validation and analysis. Debug issues, optimize for the user experience, and work with the developer ecosystem, partners, and OEMs. Shape how developers optimize for the Snapdragon Adreno GPU and gain insight into next generation GPU hardware design. The Ideal Candidate Will Meet Two Or More Qualifications 1-3 years of professional experience Extensive programming knowledge in C/C++ Strong knowledge of GPU hardware and graphics concepts Demonstrated ability to deliver software features and products while ensuring the highest standards of quality and innovation One or more of the following qualifications is a plus: Experience developing graphics applications with Vulkan, DirectX, Metal, OpenGL, WebGL or graphics development through Unity, Unreal Engine, Godot or a comparable graphics or game engine Experience developing GPU computing applications with OpenCL, CUDA, SYCL etc. Experience debugging, optimizing, profiling, and tuning real-time graphics and/or compute applications Experience with game engines, graphics frameworks, or general computing frameworks leveraging the GPU Knowledge of recent graphics trends, especially ray tracing and emerging capabilities such as mesh shading and workgraphs Familiarity with Graphics Profilers and Debuggers such as Nsight, PIX, GPA, RenderDoc, Radeon Profilers, GfxReconstruct Level Of Responsibility Works under supervision. Decision-making affects direct area of work and/or work group. Requires verbal and written communication skills to convey basic, routine factual information. Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title: C++ Developer Contractual | Immediate Joiner | Mumbai (Onsite) Job Description: We are hiring for a C++ Developer position for one of our esteemed clients, a leader in device integration and high-performance computing. This is a 1-year contract-based opportunity with the potential for extension or permanent absorption based on performance. The role is onsite at Kandivali, Mumbai, and is open strictly to local candidates who are available to join within 20 days. The ideal candidate will be a passionate and experienced developer with end-to-end C++ development expertise, along with proficiency in CUDA programming, GPU performance tuning, and parallel computing. You will be working on real-time, high-performance applications and GPU-accelerated tasks, collaborating closely with software engineers and researchers to bring innovative solutions to life. Key Responsibilities: Develop and maintain high-performance software applications using modern C++ (C++11/14/17/20). Design and implement GPU-accelerated algorithms using CUDA to optimize system performance. Optimize CUDA kernels for memory efficiency, scalability, and overall performance. Conduct code reviews to ensure adherence to best practices and clean coding standards. Create and execute test plans to validate performance and functionality. Analyze and troubleshoot performance bottlenecks using appropriate debugging and profiling tools. Collaborate with cross-functional teams including product development, QA, and R&D to deliver robust and reliable software. Provide technical mentorship to junior developers as needed. Maintain clear and comprehensive documentation for all software components and processes. Required Skills & Experience: 4 to 5 years of hands-on experience in C++ software development. Strong command of modern C++ standards (C++11/14/17/20). Proven experience with CUDA programming and developing GPU-accelerated solutions. Good understanding of parallel computing, multithreading, and GPU architecture. Experience with CUDA optimization techniques: memory hierarchy, streams, warp-level primitives, etc. Familiarity with tools such as Nsight, CUDA Memcheck, or other debugging/profiling utilities. Strong analytical and mathematical skills including knowledge of linear algebra and numerical methods. Job Details: Location: Kandivali, Mumbai (Only local candidates will be considered) Work Mode: Work From Office (No hybrid/remote options) Type: Full-time, Contractual 1 Year Notice Period: Immediate joiners or max 20 days Why Apply Opportunity to work on cutting-edge CUDA and high-performance computing projects. Exposure to a highly technical and collaborative environment. Chance for contract-to-hire based on performance. Note: This role is strictly for candidates who are currently based in Mumbai and can join on short notice. Profiles from other locations will not be considered. Key Skills: C++, CUDA, GPU Programming, Parallel Computing, Multithreading, Nsight, Memory Optimization, High-Performance Computing, CUDA Kernel Development

System Administrator Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. We are looking for a System Administrator to manage and optimize our on-premise and cloud infrastructure, ensuring reliability, security, and scalability for high-throughput AI workloads. As a System Administrator, you will be responsible for managing servers, storage, network, and compute infrastructure powering our AI development and deployment pipelines. You will ensure seamless handling of large medical imaging datasets (DICOM/NIfTI), maintain high availability for research and production systems Key Responsibilities Infrastructure & Systems Management Manage Linux-based servers, GPU clusters, and network storage for AI training and inference workloads. Configure and maintain message queue systems (RabbitMQ, ActiveMQ, Kafka) for large-scale, asynchronous AI pipeline execution. Set up and maintain service beacons and health checks to proactively monitor the state of critical services (XNAT pipelines, FastAPI endpoints, AI model inference servers). Maintain PACS integration, DICOM routing, and high-throughput data transfer for medical imaging workflows. Manage hybrid infrastructure (on-prem + cloud) including auto-scaling compute for large training tasks. Service Monitoring & Reliability Implement automated service checking for all production and development services using Prometheus, Grafana, or similar tools. Configure beacon agents to trigger alerts and self-healing scripts for service restarts when anomalies are detected. Set up log aggregation and anomaly detection to catch failures in AI processing pipelines early. Ensure 99.9% uptime for mission-critical systems and clinical services. Security & Compliance Enforce secure access control (IAM, VPN, RBAC, MFA) and maintain audit trails for all system activities. Ensure compliance with HIPAA, GDPR, ISO 27001 for medical data storage and transfer. Encrypt medical imaging data (DICOM/NIfTI) at rest and in transit. Automation & DevOps Develop automation scripts for service restarts, scaling GPU resources, and pipeline deployments. Work with DevOps teams to integrate infrastructure monitoring with CI/CD pipelines. Optimize AI pipeline orchestration with MQ-based task handling for scalable performance. Backup, Disaster Recovery & High Availability Manage data backup policies for medical datasets, AI model artifacts, and PostgreSQL/MongoDB databases. Implement failover systems for MQ brokers and imaging data services to ensure uninterrupted AI processing. Collaboration & Support Work closely with AI engineers and data scientists to optimize compute resource utilization. Support teams in troubleshooting infrastructure and service issues. Maintain license servers and specialized imaging software environments. Skills and Qualifications Required: 3+ years of Linux systems administration experience with a focus on service monitoring and high-availability environments. Experience with message queues (RabbitMQ, ActiveMQ, Kafka) for distributed AI workloads. Familiarity with beacons, service health monitoring, self-healing automation. Experience managing GPU clusters (NVIDIA CUDA, drivers, dockerized AI workflows). Hands-on with cloud platforms (AWS, GCP, Azure). Networking fundamentals (firewalls, VPNs, load balancers). Hands-on experience with GPU-enabled servers (NVIDIA CUDA, drivers, dockerized AI workflows). Experience managing large datasets (100GB–TB scale), preferably in healthcare or scientific research. Familiarity with cloud platforms (AWS EC2, S3, EKS or equivalents). Knowledge of cybersecurity best practices and compliance frameworks (HIPAA, ISO 27001). Preferred: Experience with PACS, XNAT, or medical imaging servers. Familiarity with Prometheus, Grafana, ELK stack, SaltStack beacons, or similar monitoring tools. Knowledge of Kubernetes or Docker Swarm for container orchestration. Basic scripting knowledge (Bash, Python) for task automation. Exposure to database administration (PostgreSQL, MongoDB). Scripting skills (Bash, Python, PowerShell) for automation and troubleshooting. Understanding of databases (PostgreSQL, MongoDB) used in AI pipelines. Education: BE/B Tech, MS/M Tech (will be a bonus) Experience: 3-5 Years Job Type: Full-time Work Location: In person

Job Title- Software Engineer - Medical Device (3D Visualization). Core Technical Requirements Essential Skills (Must-Have) Programming Languages: C#(Advanced) :5+ years experience with WPF, MVVM pattern, data binding C++ (Intermediate to Advanced) : VTK is primarily C++, understanding memory management, pointers Python (Basic to Intermediate) : VTK prototyping and scripting .NET Framework/Core : Deep understanding of .NET ecosystem 3D Graphics & Visualization: VTK (Visualization Toolkit) : 2+ years hands-on experience VTK pipeline architecture Filters, mappers, and actors Volume rendering and surface extraction Custom filter development OpenGL/DirectX : Understanding of graphics pipeline, shaders, rendering concepts 3D Mathematics : Linear algebra, transformations, coordinate systems, quaternions Computer Graphics Fundamentals : Lighting models, texturing, ray-casting Medical Imaging: DICOM Standards : Understanding of medicalimaging formats Medical Image Processing : CT/MRI data handling, segmentation, reconstruction 3DReconstruction : From 2D slicesto 3D models Image Registration : Coordinate system alignment Preferred Skills (Nice-to-Have) Advanced 3D Technologies: ITK (Insight Toolkit) : Medical image analysis Unity 3D or Unreal Engine : Game engine integration experience PCL (Point Cloud Library) : 3D point cloud processing CGAL : Computational geometry algorithms Medical Device Experience: IEC 62304 : Medical device softwarelifecycle processes FDA 510(k) Process : Understanding of regulatory requirements ISO 13485 : Quality management for medical devices Risk Management (ISO 14971) : Medical device risk analysis Additional Technical Skills: Real-time Systems : Low-latency, deterministic performance Multi-threading : Parallel processing for 3D rendering GPU Programming : CUDA, OpenCL for accelerated computing Database Integration : Medical data storageand retrieval Network Programming : Robot communication protocols Version Control : Git, branching strategies for medical software Experience Requirements Professional Experience: 2-3 years in medical device software development 1+years working with 3D visualization libraries(VTK, ITK, or similar) Experience with regulated industries (medical, aerospace, automotive) Project Experience: Medical imaging applications : PACS, DICOM viewers, surgicalplanning Real-time 3D applications : Interactive visualization, CAD systems Cross-platform development : Windows,potentially Linux Performance optimization : Memory management, renderingoptimization Integration projects : Combining multiple librariesand frameworks Domain Knowledge Medical/Healthcare: Orthopedic surgery understanding : Basic knowledgeof procedures, anatomy Surgical robotics : Understanding of roboticsurgery workflow Medical imaging modalities : CT, MRI, X-ray, ultrasound Surgical planning software : Experience with existing medicalsoftware Regulatory & Compliance: Software validation : Testing strategies for medical devices Documentation standards : Requirements traceability, design controls Change control processes : Managing updatesin regulated environments Cybersecurity for medical devices : FDA cybersecurity guidance Soft Skills & Attributes Critical Thinking: Problem-solving : Complex 3D visualization challenges Attention to detail : Medical accuracyrequirements Analytical mindset : Performance optimization, debuggingcomplex 3D issues Communication: Technical documentation : Clear, comprehensive technicalwriting Cross-functional collaboration : Workingwith surgeons, productmanagers, QA Code reviews : Mentoring junior developers, maintaining code quality Medical Device Mindset: Quality-focused : Understanding that bugs can impact patientsafety Process-oriented : Following established procedures and protocols Continuous learning : Staying updated with medical technology advances Educational Background Preferred Degrees: Computer Science with focus on computer graphics/visualization Biomedical Engineering with software development experience Electrical Engineering with medical device experience Mathematics/Physics with strong programming background Certifications (Preferred): Medical Device Software Training (IEC 62304, FDA) VTK/ITK Certification (if available) Microsoft Certified (.NET, C#) Agile/Scrum Certification for development methodology

NVIDIA is at the forefront of innovation in AI, high-performance computing, and visualization. Our invention—the GPU—has transformed modern computing and powers everything from scientific breakthroughs to autonomous vehicles. As we drive the next wave of artificial intelligence, we're looking for outstanding engineers to join us. Seeking a skilled Senior Software Engineer for our GPU Fabric Networking team, building high-performance communication software for demanding workloads in deep learning and HPC. What You’ll Be Doing Design, develop, and maintain system-level software to support GPU-to-GPU communication. Collaborate with cross-functional hardware and software teams to build next-generation networking solutions. Contribute to scalable and reliable GPU fabric architecture for large compute clusters. Align software development with customer needs and real-world deployment environments. What We Need To See A degree or equivalent experience in Computer Science, Electrical Engineering, or a related field (B.S., M.S., or Ph.D.). 5+ years of professional software development experience. Proficiency in C/C++, with strong debugging and system-level problem-solving skills. Experience developing software that interacts with hardware and device drivers. Solid understanding of system architecture, operating systems, and kernel internals. Background in multi-threaded and distributed systems development. Experience with Linux development; familiarity with Windows is a plus. Strong understanding of networking fundamentals and high-performance interconnects (e.g., InfiniBand, Ethernet). Familiarity with OS virtualization technologies like KVM, QEMU, or Hyper-V. Comfortable collaborating with a distributed team across different time zones. Ways To Stand Out From The Crowd Experience with the CUDA programming model and NVIDIA GPU architecture. Understanding of memory consistency and coherence models. Exposure to static/dynamic code analysis, fuzz testing, or fault injection techniques. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ . 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 JR2000934

NVIDIA is at the forefront of innovation in AI, high-performance computing, and visualization. Our invention—the GPU—has transformed modern computing and powers everything from scientific breakthroughs to autonomous vehicles. As we drive the next wave of artificial intelligence, we're looking for outstanding engineers to join us. Seeking a skilled Senior Software Engineer for our GPU Fabric Networking team, building high-performance communication software for demanding workloads in deep learning and HPC. What You’ll Be Doing Design, develop, and maintain system-level software to support GPU-to-GPU communication. Collaborate with cross-functional hardware and software teams to build next-generation networking solutions. Contribute to scalable and reliable GPU fabric architecture for large compute clusters. Align software development with customer needs and real-world deployment environments. What We Need To See A degree or equivalent experience in Computer Science, Electrical Engineering, or a related field (B.S., M.S., or Ph.D.). 5+ years of professional software development experience. Proficiency in C/C++, with strong debugging and system-level problem-solving skills. Experience developing software that interacts with hardware and device drivers. Solid understanding of system architecture, operating systems, and kernel internals. Background in multi-threaded and distributed systems development. Experience with Linux development; familiarity with Windows is a plus. Strong understanding of networking fundamentals and high-performance interconnects (e.g., InfiniBand, Ethernet). Familiarity with OS virtualization technologies like KVM, QEMU, or Hyper-V. Comfortable collaborating with a distributed team across different time zones. Ways To Stand Out From The Crowd Experience with the CUDA programming model and NVIDIA GPU architecture. Understanding of memory consistency and coherence models. Exposure to static/dynamic code analysis, fuzz testing, or fault injection techniques. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ . 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 JR2000934

Greeting from Leadsoc Technologies _ Hyderabad Position: AI Engineer & Validation Skills: Machine learning fundamentals, including deep learning,large language models , and recommender systemsLLLM. Strong background in validation, defect and software development life cycle Strong knowledge on ubuntu / yocto linux Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. Experience in profiling ML workloads Prior experience in executing validation plans for AI/ML compute stacks s uch as HIP, CUDA, OpenCL, OpenVINO, Strong background in python programming. Experience : 3-6 Years Notice period: 0- 15 days Regards Murali

About Company Our client is a trusted global innovator of IT and business services. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe. Job Title: Cuda Developer Location: Pan India Experience: 5+ yrs Job Type : Contract to hire Notice Period:- Immediate joiner Mandatory Skills ●Hands-on experience with CUDA/C++ and Python Developer . ●5+ years of overall work experience, with at least 3 years of relevant experience in Python and 2+ years in CUDA/C++ . ● Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy. ● Solid understanding of CUDA programming concepts and C++ fundamentals. ● Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python. ● Familiarity with GPU computation, parallelism, and performance-aware coding practices. ● Strong debugging skills and attention to numerical consistency when porting logic across languages. ● Experience evaluating AI-generated code or participating in LLM tuning is a plus. Responsibilities Writing clean, high-quality, high-performance, maintainable code Develop and support software including applications, database integration, interfaces, and new functionality enhancements Coordinate cross-functionally to insure project meets business objectives and compliance standards Support test and deployment of new products and features Participate in code reviews. Qualifications Bachelor's degree in Computer Science (or related field)

You will work on the Surfscan IMC (Image Computing) subsystem team, specializing in software design, development, and integration of the current and next generation high-performance computing cluster used by Surfscan tools to acquire and process large amounts of data, enabling the delivery of value to KLA customers. Your regular duties will include attending Design Meetings, developing software components, and driving the integration of different software modules. You will primarily work on C++ under Linux, Intel MPI, Cuda, Dockers, and Kubernetes. You will use tools like gdb for debugging, Github, and RTC for managing code. Minimum Qualifications: - Doctorate (Academic) or work experience of 0 years - Master's Level Degree or work experience of 2 years - Bachelor's Level Degree or work experience of 3 years We offer a competitive, family-friendly total rewards package designed to reflect our commitment to an inclusive environment while meeting the diverse needs of our employees. KLA is proud to be an equal opportunity employer. Please be cautious of potentially fraudulent job postings or suspicious recruiting activities by individuals posing as KLA employees. KLA never asks for financial compensation to be considered for an interview, employment, or equipment. Additionally, KLA does not work with recruiters or third parties who charge such fees. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews either in person or via video conferencing with our hiring managers. If you have concerns about the legitimacy of any communication, interview, offer of employment, or employee, please email talent.acquisition@kla.com to verify the person's status as an employee. Your privacy is handled with the utmost seriousness and confidentiality.,

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

You will be responsible for designing, developing, testing, deploying, maintaining, and enhancing ML models and software infrastructure. This includes managing individual project priorities, deadlines, and deliverables. You will prototype and develop deep learning driving systems and perception algorithms on various platforms such as Linux, Java, Android, and embedded systems. Additionally, you will work on systems for optimizing inference time and maintain perception software for vehicles. Your role will involve analyzing large datasets and raw sensor data, collaborating with cross-functional engineering teams, and effectively communicating your work to colleagues and management. You will be engaged in tasks such as computer vision, software development, Multi-Object Tracking, Multi-Sensor Fusion, sensor calibration, and perception algorithms. The essential requirements for this position include a Bachelor's or Master's degree in Computer Science or a related technical field, along with at least 5 years of relevant work experience in Machine Learning, Artificial Intelligence, Computer Vision, or Deep Learning. You should have experience in designing and implementing distributed software systems using languages like Java, C++, or Python. Research or industry experience in AI, Computer Vision, ML models, infrastructure, NLP, or Deep Learning is preferred. Proficiency in C/C++ programming, software design, and CUDA is essential. A preferred background for this role would be an MA/MS or PhD in Electronics & Communication Engineering or Electrical & Computer Engineering. This is a full-time position with a day shift schedule. The work location is in-person.,

As a Python developer at Aon, you will be part of the Aon Life Solutions team within the Aon Reinsurance Strategy and Technology Group in India. You will work on the PathWise high-performance software platform, providing innovative solutions for financial intermediaries, especially insurance companies. Collaborating with various teams, you will support the development of models and processes for companies transitioning to PathWise, contributing to the Aon Life product vision and go-to-market strategy. Your role as a Senior Analyst will involve developing complex actuarial and financial products powered by high-performance computing on Graphical Processing Units (GPU) in an Agile environment. You will offer technical guidance to the software development team, analyze technology trends, products, and competitors, and provide recommendations for product improvements. The ideal candidate for this position is a motivated individual with a Bachelor's degree in a technical field like Electrical/Computer Engineering or Computer Science. You should have at least 3 years of experience as a Software Engineer in the actuarial and/or financial industries, with expertise in Python (NumPy, Pandas), Agile methodologies, and SDLC. Familiarity with Azure Devops, Atlassian tools, C, C++, C#, parallel computing, Cuda, software version control systems, Linux, and actuarial/financial products like QuantLib will be advantageous. At Aon, we prioritize an inclusive workforce and offer flexible working solutions to support your wellbeing and work/life balance. Our continuous learning culture empowers you to grow and reach your fullest potential. If you are passionate about contributing to a global financial product and being part of a dynamic team, this opportunity at Aon may be the perfect fit for you.,

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Position Requirements: Model and analyze graphics algorithms/features using a C++ based cycle-accurate GPU performance model Collaborate with architects, HW and SW teams to prototype and evaluate next generation architecture proposals Using GPU workloads, analyze performance and root cause encountered bottlenecks Explore alternative design options in terms of performance/power efficiency Correlate performance between model and RTL to improve model accuracy Automate performance analysis flow (For senior role) Supervise and provide technical guidance to drive end to end feature analysis (For senior role) Identify bottle necks and propose novel solutions to optimize performance/power efficiency Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Skills/Qualifications Programming experience inC/C++ and Python Graphics/Computer architecture knowledge Pipelines, Caches, Latency, Throughput, etc" Excellent debugging and analytical skills B.Tech/B.S. Or MTech/M.S or PhD in Electronics Engineering, Embedded, Computer Engineering or Computer Science (For senior role) more than 5 years of relevant industry experience Good to have: 6 - 15Yrs years of relevant industry experience Graphics Programming experienceOpenGL and/or DirectX, OpenCL and/or CUDA, Vulkan Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: General Summary Qualcomms Graphics PSE team is a part of the Graphics System team and is responsible for the overall quality of the Graphics IP in silicon. As a member of our Graphics PSE team, you will be working closely with architects, designers, verification, and software engineers to take the GPU from pre-Sil stage to tape out to silicon bring-up and to CS(Customer Samples). Job Functions/General Responsibilities In this position, you will be responsible for developing graphics applications using graphics API like DirectX, OpenGL ES , Vulkan, improving coverage, creating GPU bring-up test-plans and test methodologies. Analyzing and enabling new games and benchmark in pre-Si environment. Provide debug support in pre-Silicon environment (functional model) and driving end to end solutions for silicon bring-up issues including failure debug. We are looking for highly motivated engineers that enjoy working in a fast-paced environment with minimal guidance. Candidates must have strong programming, communication and teamwork skills and approach difficult challenges as learning opportunities. Critical "Must Have" skills/experience for role Strong programming in C/C++. GPU APIs knowledge (Vulkan/Direct3D/OpenGL/Direct X / OpenCL etc.) GPU architecture. Strong analytical skill. 4+ years of relevant experience. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Systems Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field and 5+ year of Systems Engineering or related work experience. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred skills/experience for role Experience with at least one ofPerl, Python, TCL Games/graphics application development. OpenCL/CUDA knowledge. Graphics driver development or modelling experience. Post-silicon enablement and bring-up. Prior experience in working in emulation environments for development and debug. Debug tools including JTAG and kernel debuggers Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Preferred Qualifications: Interested in enabling next generation graphics, games, ray tracing, machine learning, image and video processing, even Mars dronesIn the GPU Developer Tools team, you will contribute to initiatives that provide developers the capabilities to learn, debug, and advance these technologies and more. The Qualcomm Adreno GPU Software team is looking for talented engineers to work on next generation GPU Developer Tools. Responsibilities include the design and development of profiling and performance analysis tools, GPU debugging tools, collaborating with GPU hardware and software teams on performance validation and analysis, new feature development, debugging issues, optimizing for the user experience, and working with the developer ecosystem, our partners, and OEMs. This role is an opportunity to shape how developers optimize for the Snapdragon Adreno GPU and have insight into next generation GPU hardware design. Our efforts in GPU Developer Tools create opportunities for our team members to learn new technologies and engage in full stack development ranging from user interfaces to graphics driver instrumentation. Experience in developing real-time software applications, graphics and/or GPGPU applications, games, middleware, drivers, or developer tools is a big plus. Principal Duties and Responsibilities: In this role, you will Design and develop profiling, performance analysis, and debugging tools features. Collaborate with GPU hardware and software teams on performance validation and analysis. Debug issues, optimize for the user experience, and work with the developer ecosystem, partners, and OEMs. Shape how developers optimize for the Snapdragon Adreno GPU and gain insight into next generation GPU hardware design. The ideal candidate will meet two or more qualifications 1-3 years of professional experience Extensive programming knowledge in C/C++ Strong knowledge of GPU hardware and graphics concepts Demonstrated ability to deliver software features and products while ensuring the highest standards of quality and innovation One or more of the following qualifications is a plus Experience developing graphics applications with Vulkan, DirectX, Metal, OpenGL, WebGL or graphics development through Unity, Unreal Engine, Godot or a comparable graphics or game engine Experience developing GPU computing applications with OpenCL, CUDA, SYCL etc. Experience debugging, optimizing, profiling, and tuning real-time graphics and/or compute applications Experience with game engines, graphics frameworks, or general computing frameworks leveraging the GPU Knowledge of recent graphics trends, especially ray tracing and emerging capabilities such as mesh shading and workgraphs Familiarity with Graphics Profilers and Debuggers such as Nsight, PIX, GPA, RenderDoc, Radeon Profilers, GfxReconstruct Level of Responsibility: Works under supervision. Decision-making affects direct area of work and/or work group. Requires verbal and written communication skills to convey basic, routine factual information. Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title: AI/ML Validation Engineer Location: Bangalore (Onsite) Experience: 5-8 yrs Requirements: · Strong background in machine learning fundamentals, including deep learning,large language models, and recommender systems. · Strong background in validation, defect and software development life cycle · Strong knowledge on ubuntu / yocto linux · Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. · Experience in profiling ML workloads · Prior experience in executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, OpenVINO, ONNX Runtime and TensorFlow/PyTorch integrations. · Prior experience in validating end-to-end AI pipelines, for e.g. model conversion (e.g., PyTorch à ONNX), Inference runtimes (e.g, ONNX Runtime, TensorRT, ROCm/HIP), compilers/toolchains (e.g. TVM, Vitis AI, XDNA, XLA), kernel execution, memory transfer and inference results · Strong background in python programming. · Excellent problem-solving skills and willingness to think outside the box. · Experience with production software quality assurance practices, methodologies, and procedures · Strong ownership of deliverables, Excellent communication skills and experience working with global teams

Company: Omnipresent Robot Technologies Pvt. Ltd. Location: Noida Sector-80| Type: Full-Time About Us: Omnipresent Robot Tech Pvt. Ltd. is an innovative startup pushing the boundaries of robotics, drones, and space tech. We recently contributed to ISRO’s Chandrayaan-3 mission by developing the perception and navigation module for the Pragyaan rover. Join our dynamic team to work on satellite-based defense projects and grow your career! Position Overview: We are looking for an AI/ML Engineers for Senior and junior role to assist in the development of AI models and algorithms for our satellite-based defense project. You will work with a skilled team to train, test, and deploy ML models, gaining hands-on experience in cutting-edge AI applications. Key Responsibilities: • Assist in designing and developing AI models using ML/DL techniques. • Implement, test, and fine-tune ML models using popular frameworks (e.g., TensorFlow, PyTorch). • Load and deploy models on embedded platforms (like Jetson Orin NX). • Analyze datasets, preprocess data, and extract features for training. • Support code compatibility and optimization on embedded systems. • Monitor and evaluate model performance, suggesting improvements. • Collaborate with senior engineers to integrate AI models into production environments. • Stay updated on the latest AI trends and apply new techniques to projects. Qualifications: • B.Tech. in Computer Science, IT, or related field. • 0.6-5 years of experience in ML model development. • Proficiency in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Understanding of data preprocessing, model training, and deployment. • Basic knowledge of GPU acceleration (CUDA) and embedded platforms (Jetson Orin NX). • Familiarity with data processing tools (e.g., NumPy, Pandas). • Strong problem-solving and analytical skills. • Effective communication and team collaboration abilities. Why Join Us? • Be part of high-impact satellite defense projects. • Learn from experts in AI and embedded systems. • Work in a start-up environment that fosters innovation and creativity.

About Company : They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. Job Title: C++ Developer Location: Pan India Experience: 5+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: - Immediate joiners Required Skills: 5+ years of overall work experience, with at least 3 years of relevant experience in Python and 2+ years in CUDA/C++. Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy. Solid understanding of CUDA programming concepts and C++ fundamentals. Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python. Familiarity with GPU computation, parallelism, and performance-aware coding practices. Strong debugging skills and attention to numerical consistency when porting logic across languages. Experience evaluating AI-generated code or participating in LLM tuning is a plus.

About Company: They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society. Job Description: Job Title: LLM CUDA/C++ and Python Developer Location: Pan India Experience: 6+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: Immediate joiners Role Overview: This role is part of a project supporting leading LLM companies. The primary objective is to help these foundational LLM companies improve their Large Language Models.We support companies in enhancing their models by offering high-quality proprietary data. This data can be used as a basis for fine-tuning models or as an evaluation set to benchmark the performance. In an SFT data generation workflow, you might have to put together a prompt that contains code and questions, then elaborate model responses, and translate the provided CUDA/C++ code into equivalent Python code using PyTorch and NumPy to replicate the algorithm's behavior.For RLHF data generation, you may need to create a prompt or use one provided by the customer, ask the model questions, and evaluate the outputs generated by different versions of the LLM, comparing it and providing feedback, which is then used in fine-tune processes. Please note that this role does not involve building or fine-tuning LLMs. What does day-to-day look like: ● Translate CUDA/C++ code into equivalent Python implementations using PyTorch and NumPy, ensuring logical and performance parity. ● Analyze CUDA kernels and GPU-accelerated code for structure, efficiency, and function before translation. ● Evaluate LLM-generated translations of CUDA/C++ code to Python, providing technical feedback and corrections. ● Collaborate with prompt engineers and researchers to develop test prompts that reflect real-world CUDA/PyTorch tasks. ● Participate in RLHF workflows, ranking LLM responses and justifying ranking decisions clearly. ● Debug and review translated Python code for correctness, readability, and consistency with industry standards. ● Maintain technical documentation to support reproducibility and code clarity. ● Propose enhancements to prompt structure or conversion approaches based on common LLM failure patterns. Requirements: ● 5+ years of overall work experience, with at least 3 years of relevant experience in Python and 2+ years in CUDA/C++. ● Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy. ● Solid understanding of CUDA programming concepts and C++ fundamentals. ● Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python. ● Familiarity with GPU computation, parallelism, and performance-aware coding practices. ● Strong debugging skills and attention to numerical consistency when porting logic across languages. ● Experience evaluating AI-generated code or participating in LLM tuning is a plus. ● Ability to communicate technical feedback clearly and constructively. ● Fluent in conversational and written English communication skills.

About Company: Our client organization's mission is to empower people to participate in global conversations through communities. They are responsible for the consumer-facing application on the Web, Android, and iOS platform. In this role, you'll work with a specific team within this organization to drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. Poster Experience specifically focuses on the user journey, which is the main source of user content for the product. We aim to make it easier, faster, and smarter to create and participate in conversations, and we drive several core product metrics for the entire ecosystem. This specific role will involve migrating legacy Python microservice code to one or more existing Go microservices. Successful candidates have prior experience in these migrations at large scale (think millions of actions per day) and understand how to instrument and monitor their code for parity and consistency during rollout. Job Description: Job Title: Python Developer Location: Pan India Experience: 5+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: - Immediate joiners Roles and Responsibilities: 5+ years of overall work experience, with at least 3 years of relevant experience in Python and 2+ years in CUDA/C++. Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy. Solid understanding of CUDA programming concepts and C++ fundamentals. Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python. Familiarity with GPU computation, parallelism, and performance-aware coding practices. Strong debugging skills and attention to numerical consistency when porting logic across languages. Experience evaluating AI-generated code or participating in LLM tuning is a plus. Ability to communicate technical feedback clearly and constructively. Fluent in conversational and written English communication skills.

Greeting from Leadsoc Technologies Position: AI Model Validation Engineer Strong background in machine learning fundamentals, including deep learning,large language models , and recommender systems. Strong background in validation, defect and software development life cycle Strong knowledge on ubuntu / yocto linux Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. Experience in profiling ML workloads Prior experience in executing validation plans for AI/ML compute stacks s uch as HIP, CUDA, OpenCL, OpenVINO, Strong background in python programming. Experience:3- 6 years Notice period: 0-15 days Regrads Murali

We are looking for a highly experienced Voice AI /ML Engineer to take the lead in designing and deploying real-time voice intelligence systems. This position specifically involves working on ASR, TTS, speaker diarization, wake word detection, and developing production-grade modular audio processing pipelines to support next-generation contact center solutions, intelligent voice agents, and high-quality audio systems. You will be operating at the convergence of deep learning, streaming infrastructure, and speech/NLP technology, with a focus on creating scalable, low-latency systems that cater to diverse audio formats and real-world applications. Your responsibilities will include: - Building, fine-tuning, and deploying ASR models such as Whisper, wav2vec2.0, and Conformer for real-time transcription. - Developing high-quality TTS systems using VITS, Tacotron, FastSpeech for natural-sounding voice generation. - Implementing speaker diarization to segment and identify speakers in multi-party conversations using embeddings and clustering techniques. - Designing wake word detection models with ultra-low latency and high accuracy even in noisy conditions. In addition to the above, you will also be involved in: - Architecting bi-directional real-time audio streaming pipelines utilizing WebSocket, gRPC, Twilio Media Streams, or WebRTC. - Integrating voice AI models into live voice agent solutions, IVR automation, and AI contact center platforms. - Building scalable microservices for audio processing, encoding, and streaming across various codecs and containers. - Leveraging deep learning and NLP techniques for speech and language tasks. Furthermore, you will be responsible for: - Developing reusable modules for different voice tasks and system components. - Designing APIs and interfaces for orchestrating voice tasks across multi-stage pipelines. - Writing efficient Python code, optimizing models for real-time inference, and deploying them on cloud platforms. Join us to be part of impactful work, tremendous growth opportunities, and an innovative environment at Tanla, where diversity is championed and inclusivity is valued.,

You will be part of the AI/HPC engineering team specializing in platform standardization initiatives, innovation, testing, and optimization of various AI technologies. Your role will involve installation, administration, troubleshooting, and analytical skills in technology stacks such as Linux, Kubernetes, SLUM, Nvidia BCM, and open-source infrastructure tools like Ansible and scripting. As a qualified candidate with a B.E/B.Tech degree and over 7+ years of experience in the IT Infrastructure industry, including 7 to 8 years in HPC and/or AI technology, you should possess a strong knowledge of scripting and Linux, with a minimum of 2 years in Kubernetes. Your responsibilities will include managing, installing, configuring, deploying, troubleshooting, and administrating open-source HPC software like BCM, SLUM, Ansible, and ELK. Additionally, you should have a good grasp of Linux OS with scripting, knowledge in BCM, Nvidia GPU, and Cuda, and experience with Ansible playbook and managing HPC environments. Exposure to Python scripting and familiarity with at least one of the LLM/Generative AI and GPU offerings on public clouds such as AWS, Azure, or Google Cloud will be beneficial. You should also have experience in using DevOps tools for deploying and managing tools like Jenkins, Git, SonarQube, Bugzilla, and Harbor Registry. It would be advantageous if you have knowledge in networking concepts like VLAN, VXLAN, InfiniBand, IP Subnetting, routing, and firewall, as well as in storage technologies such as DDN, Parallel FS, object storage, and NFS. Familiarity with infrastructure components like HP/Dell rack servers and GPU, and management/monitoring tools like Zabbix, Promotus Grafana, and SNow will also be valued.,