1140 Computer Vision Jobs - Page 27

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

job requisition idJR1027508 Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies.

Overview We are looking for a talented Generative AI Developer to join our dynamic team and contribute to our projects in transforming data into actionable insights. Responsibilities Design, develop, and implement generative AI models using Python and relevant libraries. Collaborate with data scientists to analyze data and improve model performance. Develop and maintain Flask APIs to serve AI models and facilitate integration with frontend applications. Utilize SQL for data manipulation and retrieval to support AI model training and evaluation. Engage in code reviews and contribute to best practices for software development. Stay updated with the latest trends and advancements in AI and machine learning technologies. Primary Skills: Proficient in Python (including libraries such as TensorFlow, PyTorch, or similar frameworks). Strong experience with SQL for database management and data querying. Familiarity with Generative AI tools and platforms (e.g., Gemini Pro). Experience in developing RESTful APIs using Flask. Secondary Skills: Understanding of machine learning concepts and algorithms. Familiarity with cloud computing services (e.g., AWS, Google Cloud) is a plus. Knowledge of data preprocessing and feature engineering techniques. Excellent problem-solving skills and ability to work in a collaborative team environment.

o Minimum of 4-6 years' experience in developing, testing, and deploying Python based applications on Azure/AWS platforms o Must have basic knowledge on concepts of Generative AI / LLMs / GPT o Deep understanding of architecture and work experience on Web Technologies o Python, SQL hands-on experience o Expertise in any popular python web frameworks e.g. flask, Django etc. o Familiarity with frontend technologies like HTML, JavaScript, REACT

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Interested in accelerating machine learning and artificial intelligence on mobile devices for millions of usersCome join our team. We are building software platforms that enable users of Qualcomms silicon to construct optimized neural networks and machine learning algorithms. We are looking for software engineers with a machine learning or compiler background who will help us build these software platforms. In this role, you will construct and tune machine learning frameworks, build compilers and tools, and collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomms silicon for machine learning applications. Minimum qualifications: Bachelors degree in Engineering, Information Systems, Computer Science, or related field. Programming in C/C++ 0 to 10 years of software engineering or related work experience Preferred qualifications: Experience in machine learning frameworks such as MxNet/NNVM/TVM, Pytorch, Tensorflow, Caffe OR experience in compilers with an interest in machine learning Deep knowledge of software engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Interested in accelerating machine learning and artificial intelligence on mobile devices for millions of usersCome join our team. We are building software platforms that enable users of Qualcomms silicon to construct optimized neural networks and machine learning algorithms. We are looking for software engineers with a machine learning or compiler background who will help us build these software platforms. In this role, you will construct and tune machine learning frameworks, build compilers and tools, and collaborate with Qualcomm hardware and software engineers to enable efficient usage of Qualcomms silicon for machine learning applications. Minimum qualifications: Bachelors degree in Engineering, Information Systems, Computer Science, or related field. Programming in C/C++ 2 to 4 years of software engineering or related work experience Preferred qualifications: Experience in machine learning frameworks such as MxNet/NNVM/TVM, Pytorch, Tensorflow, Caffe OR experience in compilers with an interest in machine learning Deep knowledge of software engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: 2-4 years of experiences in image processing/computer vision/camera domain. Working experience with machine learning framework/packages (e.g, PyTorch, TensorFlow, Keras etc.) Strong hands on experience on developing object detection, tracking or face detection algorithms. Strong background in image and signal processing, statistics, and data analysis. Developing machine learning algorithms for advanced imaging features Strong programming skills and working experience in C/C++\ assembly programming skills, multithreading and RTOS/OS concepts\fundamentals and Python. Strong debugging skills to debug complex system level issues. Collaborate with cross-functional teams to design, implement and debug camera\multimedia features for mobiles. Good analytical and problem-solving skills. Responsibilities: Development and productize camera essential features on Qualcomm chipsets for mobile Influence camera HW architecture in Qualcomm chipsets Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Customer interaction to commercialize Qualcomm camera solutions. Individual contributions and working with cross functional teams on camera essential features design/planning/execution/commercialization for future Snapdragon chipsets Education requirements: RequiredBachelor's/Masters/PHd Computer Engineering and/or Electrical / Electronic Engineering Preferred Masters Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Qualcomm XR Research India is rapidly expanding to offer state of the art XR solutions. To scale and strengthen our offering in this domain, we are seeking Systems Lead Engineer who will drive the next-generation technologies and architectures, shaping the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) use cases. Job Summary: The XR Research team builds and tests prototype devices for different perception technologies. We are looking for an embedded engineer with proven track record in embedded product development including experience in low-level device driver development, HW/SW interfaces, bringing up camera/IMU sensors drivers, I2C/SPI, and basics of electronics. Team member will be responsible for coordinating with different stake holders in consolidating and defining the reference/prototype device requirements for perception features, bring up of new camera sensors, IMU sensors and work with various stakeholders like ID design, electronics team in building the reference/prototype devices. Candidates should be flexible in their work assignments as priorities can change quickly in this fast-paced environment. Minimum Qualifications: Education: Bachelor's degree in Computer Science, Electrical Engineering, Information Systems, or related field. Work Experiences: 3+ years experience with C++ Programming Language and embedded device development. Skills: Design and develop highly optimized embedded software/firmware using C, C++ language on Windows/Android/Linux. Strong understanding of embedded hardware & driver concepts Strong verbal and written communication skills Team player who can function well with minimum supervision Preferred Qualifications: Education: Master's degree in Computer Science, Electrical Engineering, Information Systems, or related field. Work Experiences: 3+ years experience with C++ Programming Language and embedded device development. Skills: Experience with Augmented/Virtual Reality, general computer vision enabling technologies Experience in designing prototype devices using microcontroller, sensors, FPGA, cameras and IMUs. Experience with cameras, flash/LEDs and/or IMUs sensor drivers development

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm XR Research India is rapidly expanding to offer state of the art XR solutions. To scale and strengthen our offering in this domain, we are seeking a systems architect who will drive the next-generation technologies and architecture, shaping the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) use cases. Responsibilities: Your responsibilities will span across technical leadership, system architecture, software architecture, implementation and compute analysis. Here are the key aspects of your role: Drive technical workstreams related to perception, reprojection, split-processing and other XR technologies. Identify and deeply understand the use cases for AR/VR/MR applications. Collaborate with cross-functional teams to translate use case requirements into detailed implementation specifications. Define system and software architecture, considering hardware/software tradeoffs, compute and memory constraints. Optimize compute workload distribution across different subsystems on the SoC for efficient performance and power. Validate and optimize architecture definitions through system-level use case modeling. Prototype new use cases to understand the compute and memory requirements, and influence future software/hardware features and reference device specification. Minimum Qualifications: 9+ years of experience in systems engineering with a bachelors degree in electrical engineering, information systems, computer science, or related field. Hands-on experience in defining systems architecture and software design for multi-core architectures (CPUs, GPUs, DSPs, etc.), including performance analysis on heterogeneous architectures (core, multi-level cache, memory, etc.). Proficiency in documenting call flows and data flows for both software and hardware components. Strong communication skills and ability to work effectively in a team. Preferred Qualifications: 8+ years of experience in systems engineering with masters and/or PhD degree in electrical engineering, information systems, computer science. Proven expertise in AR/VR, computer vision, machine learning, perception, camera technology, graphics pipeline, hardware design, SoC architecture, HW/SW partitioning, and system modeling (power, performance). Proficiency in C++, and Object-Oriented SW design Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: CPU architecture team is driving the core math libraries needed for ML/AI acceleration. This position/s will expose you to Qualcomms cutting edge SoC and ML/AI platforms in the industry. Participate in Optimizing the core ML kernels using the latest advancements like SME, SVE of the ARM CPU architecture and enhance the performance of the ML models on the CPU of the QCOM Soc Required Skills== 3+ experince with Understanding of ARM CPU architecture fundamentals and ARM Arch64 ISA Optimizing kernels for vector Processors Understanding of the basic linear algebra functions used in AI/ML Algorithm design (logic, critical thinking) Performance Evaluation and Optimization of the applications for ARM architecture Inferencing of the ML models written in Pytorch/TensorFlow/Keras Understanding of the typical Open-Source Library framework design Preferred Skills=== Strong Programming skills and deep understanding of the ARM ISA understanding of the algorithms suitable for Vector and matrix accelerators Strong Analytical and debugging skills Good understanding of Optimizing the Linear Algebra algorithms Performance evaluation using QEMU, Simulators, Emulators and on Real Hardware Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. 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. Candidate should have 10+ years of experience Experience in C/C++, Computer vision/ Image processing is must Experience in camera technology, ML/DL is good to have Experience in Embedded/arm programming is good to have but not necessary Responsibilities The job responsibilities may include a subset of the following Designing computer vision /image processing for mobile devices Designing and evaluating algorithms to be implemented in hardware on software prototypes Developing or Optimizing image processing and computer vision algorithms for HW acceleration Support product teams for commercialization, such as solution optimization, performance profiling and benchmarking. Test regression and release support Preferred Qualifications: Exposure or working experience in Vision or Multimedia accelerators Working experience with image processing algorithms. Knowledge/working experience in computer vision algorithms Strong knowledge in data structures and working experience with C/C++ programming Software optimizations experience in various SIMD and multi-threading

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: At Qualcomm XR Perception, were a passionate team of engineers who want to change the world through virtual and augmented reality products and technologies. We develop state-of-the-art, power efficient XR perception algorithms optimized for Qualcomm hardware. The perception algorithms enable XR systems to map the users environment and track the user within the environment. To scale and strengthen our offering, Qualcomm XR Perception team in Bengaluru is rapidly expanding and seeking candidates to investigate and develop the fundamental perception algorithm that enables self-contained XR platforms. We are looking for innovators who will push the boundaries of mobile perception technology to offer a robust platform to our customers. Job Function/General Responsibilities In this job the candidate would Be part of a world-class XR team researching and developing XR perception Work with building blocks of Simultaneous Localization and Mapping (SLAM) o Multi-view geometry o Sensor Fusion o Pose estimation o Non-linear optimization Apply ML/ DL techniques to enhance accuracy and robustness of traditional SLAM systems Implement efficient and optimized algorithms in C++ Understand and analyze requirements for perception systems for XR platforms Have excellent verbal and written communication and presentation skills Candidate that fits this role should be well versed in the basics of Linear algebra Probability Multi-view geometry Sensor fusion Estimation techniques Non-linear optimization Machine learning techniques Object oriented programming in C++ Keywords Virtual reality, Augmented reality, Computer vision, Machine learning, Perception, VIO, SLAM Educational requirements: Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related field +3 years of work experience OR Master's degree in Engineering, Applied Mathematics, Computer Science, or related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, XR/IoT/Automotive & compute platforms. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. We are seeking experienced system engineers for our cutting-edge efforts in the architecture and design of our video codec hardware. The video Systems group provides video solutions on all of Qualcomms Snapdragon mobile processors. The teams scope includes video processing algorithms and IP architecture design for video compression, visual signal processing and analytics, catering to unique requirements of XR/IoT/Automotive markets, with power and performance optimization. The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas: Research and develop video algorithms for mobile, IoT surveillance, Automotive and VR/AR applications with performance and power efficiency Designing and evaluating video algorithms to be implemented in hardware video encoders and decoders Define systems architecture for video solutions including data flow, task partition, interface and systems interoperation Implement models to accurately model the HW (functional, performance), and supporting HW verification & SW development via behavioral model vectors Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Minimum Qualifications Master's degree in Electrical or Computer Engineering or related field Knowledge & Experience in video coding standards such as VVC, AV1, HEVC, H.264/AVC, VP9. Good working experience with C/C++ Hands on Knowledge & Experience in Video Codec Design and implementation with in-depth understanding of encoder algorithms such as motion estimation, mode decision and rate control. Experienced in visual quality trade-offs and assessments for video use-cases Experience with Video Pre & Post Processing Algorithms such as denoising, scaling is a plus Experience with Computer Vision and Deep Learning techniques as applied to Video is a plus Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Looking for "ML framework and AI compiler Engineer" responsible for Designing, implementing, and deploying machine learning models using PyTorch Focusing on backend infrastructure and system architecture. Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability. Here's a more detailed breakdown of what you might see in such a job description: Key Responsibilities: Model Development and Deployment Designing, building, and deploying AI models, particularly those leveraging PyTorch for deep learning. Backend Infrastructure Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage. System Architecture Designing scalable and high-performance backend architectures to handle AI workloads. Model Optimization Optimizing model performance for speed, accuracy, and resource efficiency. Integration Integrating AI models with other systems and applications. API Development Creating and maintaining APIs for communication between frontend and backend components. Data Handling Managing data ingestion, preprocessing, and storage for AI training and inference. Collaboration Working with data scientists, product managers, and other engineers to bring AI solutions to life. Tools, Technologies, Skills and Programming: C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends. Scripting: Strong expertise in Python with design, develop, release and maintain projects. AI Frameworks: Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc. Machine Learning Knowledge: Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends. Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus. Experience with deep leaning compilers like Glow, TVM "etc is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Responsibilities: Part of video IP systems team and will be responsible for video technology roadmap ; interaction with different teams including design, verification, system, firmware, software, SOC and power teams; video algorithms, image quality analysis; video processing and compression trends with standardization committees. Qualcomm is the innovation leader in the area of integrated chipsets that power advanced mobile devices, XR/IoT/Automotive & compute platforms. We are building on and expanding our reputation as the industry powerhouse for innovation in both wireless technologies and enabling advanced multimedia capabilities. We are seeking experienced system engineers for our cutting-edge efforts in the architecture and design of our video codec hardware. The video Systems group provides video solutions on all of Qualcomms Snapdragon mobile processors. The teams scope includes video processing algorithms and IP architecture design for video compression, visual signal processing and analytics, with power and performance optimization. The selected candidate, along with his/her colleagues and other team members, will have responsibilities in one or more of the following areas: Designing and evaluating video algorithms to be implemented in hardware video encoders and decoders . Define systems architecture for video solutions including data flow, task partition, interface and systems interoperation. Implement models to accurately model the HW (functional, performance), and supporting HW verification & SW development via behavioral model vectors . Collaborate with systems, software, hardware teams at various stages of chipset life in design/validation/commercialization. Research and develop video algorithms for mobile, automotive, compute and VR/AR applications with performance and power efficiency. Minimum Qualifications: Masters degree in Electrical/Electronics Engineering, Computer Science, or related field and 15+ years of systems engineering experience PhD in Electrical/Electronics Engineering, Communications - Signal Processing, Computer Science, or related field and 12+ years of systems engineering experience Knowledge & Experience in video coding standards such as VVC, AV1, HEVC, H.264/AVC, VP9. Hands on Knowledge & Experience in Video Codec Design and implementation with in-depth understanding of codec algorithms and flow Solid C/C++ programming, Python scripting skills. Strong communication skills Good analytical and problem solving skills. Preferred Qualifications: HW C modeling experience Image quality evaluation and metric comparisons Signal / Image processing basicsComputer Vision and Machine Learning algorithms for Video Compression and Video/Image processing. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The AI SW team at Qualcomm is focused on advancing state-of-the-art in Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack leverages Qualcomm chips' extensive heterogeneous computing capabilities, enabling the running of trained neural networks on devices without needing a cloud connection. This allows neural network models trained in various frameworks on Snapdragon platforms to run at blazing speeds while consuming minimal power. As a Senior Lead Engineer, you will see your work directly impact billions of devices worldwide. Key Responsibilities: Design, develop, and maintain high-quality software solutions using Python for running machine learning models on Qualcomm devices. Contribute to the development and optimization of AI models, using popular frameworks like Pytorch. Build tools and infrastructure for onboarding, debugging and analysis of AI models. Participate in code reviews and ensure adherence to best practices and coding standards. Debug accuracy and performance on devices, addressing any challenges that arise. Collaborate with cross-functional teams to define, design, and ship new features. Own end-to-end development and release of features and lead and mentor a sub-team of engineers. Minimum Qualifications: Bachelors degree in engineering, Computer science or a related field and 5+ years of professional experience in software engineering or related work experience OR Masters degree in engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience Solid understanding of fundamental computer science concepts, general programming principles and practices. 4+ years of hands-on professional experience in programming with Python (preferred) / Java / C++. Strong problem-solving skills and the ability to work independently and as part of a team. Basic knowledge of AI concepts and techniques Excellent communication skills and the ability to articulate complex technical concepts. Willingness to learn advanced concepts in AI and machine learning and keep updated with latest industry trends Preferred Qualifications: Experience with machine learning frameworks and tools such as PyTorch, ONNX. Familiarity with Large Language Models (LLMs) and Transformers Familiarity working with Linux systems and hardware devices Experience with mobile development frameworks and tools (e.g., Android SDK, Kotlin). 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.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm's XR Technology Systems team is seeking motivated engineers with who will work on driving next generation technologies & platforms enabling the future of Augmented Reality / Virtual Reality / Mixed Reality applications. This team interfaces with product management, platform architecture, technology/IP and software implementation leads. The successful candidate will be responsible for one or more of the following roles Driving technical workstreams across key technology tracks (perception, rendering, composition, reprojection, split-processing, user input interfaces, camera & display processing). Key role here is to have forward looking perspective and identify opportunities for prototyping, demonstrating the system level trade-offs (working with respective technology team(s), helping define the feature goodness criteria from end use case perspective. Collaborating with technology experts to drive strategic direction in cross-functional AR/MR/VR areas. Working with technology, hardware, and software experts to translate use-case requirements into implementation specifications and contributing to reference design planning. Engaging on identifying and scoping new use-cases Early engagement with customers and works on aligning with product management on platform requirements. Working with technology tracks to drive the system level what-ifs/trade-offs and helping with competitive analysis. For this multi-disciplinary role an ideal candidate has experience in AR/VR, computer vision, perception, camera technology, hardware design, SoC architecture, HW/SW partitioning, and/or system modeling (power, performance, thermal). Minimum Qualifications Bachelors degree in Electrical Engineering, Information Systems, Computer Science, or related field, and project experience in architecture/micro-architecture 1+ years of system engineering or related work experience Excellent problem solving and communication skills Preferred Qualifications Masters and/or PhD degree in Electrical Engineering, Information Systems, Computer Science 1+ years experience in HW architecture/design with emphasis on areas listed above Proven experience in conducting architectural trade-offs, power/performance analysis and/or SW-HW trade-offs Extensive knowledge of graphics pipeline, computer vision pipelines, machine learning methods and/or camera pipelines Experience with system level modeling (performance and/or power) C/C++ programming Keywords Camera, ISP, display, composition, rendering, video coding, computer vision, embedded, multimedia, image, algorithms, SOC architecture, micro-architecture Educational RequiredBachelors, Computer Engineering and/or Electrical Engineering or equivalent experience PreferredMasters / Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

NVIDIA has been redefining computer graphics and accelerated computing for 30 years. Hiring the most creative minds and making sure that groundbreaking innovations can be accelerated through NVIDIAs platform have been key to this outstanding legacy of technological innovation. Today, we re tapping into the unlimited potential of AI to define the next era of computing. Doing what s never been done before takes vision, innovation, and the world s best talent. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is encouraged to do their best work and make a lasting impact on the world! Are you passionate about inspiring change, building data-driven tools to improve software quality, and ensuring customers have the best experienceIf so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative and hands-on software engineer with a test-to-failure approach who is a quick learner, can understand software and hardware specifications, and build reliable tests and tools in C++/C#/Python to improve quality and accelerate the delivery of NVIDIA products. What you will be doing: QA Prompt Design for Generative AI: Evaluate image/video outputs from generative AI models using thoughtful test prompts and clear quality metrics like realism, coherence, and safety. Automation Tooling: Build and maintain Python-based tools, automation frameworks, and CI/CD test integrations to streamline QA workflows and improve test coverage. Graphics and Gaming Validation: Develop and implement detailed test plans for NVIDIA application software, which includes testing leading PC games. Emphasize NVIDIA features that improve visual quality, performance, compatibility, and overall user experience in authentic gaming environments. What we need to see: B. E. /B. Tech degree in Computer Science/IT/Electronics engineering with strong academics or equivalent experience 5+ years of programming experience in Python/C#/C++ with experience in applying Object-Oriented Programming concepts Automation Expertise: Practical experience with test automation tools (e. g. , Selenium), Git, and integration into CI/CD pipelines. Gaming Hardware Knowledge: Deep understanding of PC gaming, GPU features, and testing on Windows systems; experienced with solving hardware/software interactions. Communication Partnership: Strong critical thinking, clear documentation, and partnership in hybrid, multi-functional environments. QA Leadership: Experience mentoring QA teams or leading structured test planning efforts. Generative AI QA Experience: Hands-on testing or usage of image/video models (e. g. , Sora, DALLE, Stable Diffusion), with Prompt engineering and evaluation of hallucination, relevance, and safety. Ways to stand out from the crowd: Deep AI Evaluation Skills: Designed evaluation protocols for diffusion/video models using structured Prompt testing and perceptual metrics. Computer Vision Background: Strong understanding of image/video quality, human perception, and content alignment in AI outputs. Python ML Libraries: Hands-on experience with AI/ML libraries like PyTorch, OpenCV, PIL, Transformers, and NumPy. GPU Graphics Expertise: Familiarity with NVIDIA technologies (DLSS, G-SYNC, PhysX, or equivalent experience), display drivers, and PC visual quality benchmarks. Proactive Problem Solver: Known for creatively identifying root causes in sophisticated QA issues and working to improve processes. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. Due to outstanding growth, our elite engineering teams are rapidly growing. If youre creative with a real passion for technology, we want to hear from you. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.

Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI, Generative AI areas and implement solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to provide end to end technical solutions leveraging latest AI, Gen AI tools, frameworks for the business problems. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Deep experience in predictive analytics and statistical modeling Deep experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) At least 2 to 3 ML apps deployed in production At least 1 to 2 Gen AI apps in production. Experience in Computer vision is a must. Core ML experience is a must Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience At least 3 Data Science, AI Projects designed, developed and delivered to production At least 1 Generative AI Project designed, developed and delivered to production Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Expertise in GenAI concepts, RAG and Models fine-tuning techniques Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., and implementation experience Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle data pipelines, data warehouse, data lake Secondary Skills End to end data engineering project experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Description of Responsibility Sills / Competencies requirement Functional & Technical Responsibilities Understand customers requirements (Business, Functional, Non-Functional etc.,), conduct feasibility study and develop technical specifications for Data Science, AI and Gen AI Projects Design and implement scalable solutions for Data Science, AI and Gen AI Projects using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Should be able to develop efficient Prompts to automate project activities using LLM tools and provide end to end solutions Provide Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, Llama, Mistral etc.,) Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Provide technical solutions to sales, pre-sales teams for the proposals Develop and guide team members in implementation of solutions related to Data Science, AI and Gen AI Projects Expert knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

AI/ML Architect Experience 10+ years in total, 8+ years in AI/ML development 3+ years in AI/ML architecture Education Bachelors/Masters in CS, AI/ML, Engineering, or similar Title: AI/ML Architect Location: Onsite Bangalore Experience: 10+ years Position Summary: We are seeking an experienced AI/ML Architect to lead the design and deployment of scalable AI solutions. This role requires a strong blend of technical depth, systems thinking, and leadership in machine learning , computer vision , and real-time analytics . You will drive the architecture for edge, on-prem, and cloud-based AI systems, integrating 3rd party data sources, sensor and vision data to enable predictive, prescriptive, and autonomous operations across industrial environments. Key Responsibilities: Architecture & Strategy Define the end-to-end architecture for AI/ML systems including time series forecasting , computer vision , and real-time classification . Design scalable ML pipelines (training, validation, deployment, retraining) using MLOps best practices. Architect hybrid deployment models supporting both cloud and edge inference for low-latency processing. Model Integration Guide the integration of ML models into the IIoT platform for real-time insights, alerting, and decision support. Support model fusion strategies combining disparate data sources, sensor streams with visual data (e.g., object detection + telemetry + 3rd party data ingestion). MLOps & Engineering Define and implement ML lifecycle tooling, including version control, CI/CD, experiment tracking, and drift detection. Ensure compliance, security, and auditability of deployed ML models. Collaboration & Leadership Collaborate with Data Scientists, ML Engineers, DevOps, Platform, and Product teams to align AI efforts with business goals. Mentor engineering and data teams in AI system design, optimization, and deployment strategies. Stay ahead of AI research and industrial best practices; evaluate and recommend emerging technologies (e.g., LLMs, vision transformers, foundation models). Must-Have Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, Engineering, or a related technical field. 8+ years of experience in AI/ML development, with 3+ years in architecting AI solutions at scale. Deep understanding of ML frameworks (TensorFlow, PyTorch), time series modeling, and computer vision. Proven experience with object detection, facial recognition, intrusion detection , and anomaly detection in video or sensor environments. Experience in MLOps (MLflow, TFX, Kubeflow, SageMaker, etc.) and model deployment on Kubernetes/Docker . Proficiency in edge AI (Jetson, Coral TPU, OpenVINO) and cloud platforms (AWS, Azure, GCP). Nice-to-Have Skills: Knowledge of stream processing (Kafka, Spark Streaming, Flink). Familiarity with OT systems and IIoT protocols (MQTT, OPC-UA). Understanding of regulatory and safety compliance in AI/vision for industrial settings. Experience with charts, dashboards, and integrating AI with front-end systems (e.g., alerts, maps, command center UIs). Role Impact: As AI/ML Architect, you will shape the intelligence layer of our IIoT platform — enabling smarter, safer, and more efficient industrial operations through AI. You will bridge research and real-world impact , ensuring our AI stack is scalable, explainable, and production-grade from day one.

Role & responsibilities Deep understanding of computer vision principles, best practices, image processing techniques, and machine learning algorithms. Experience in developing and implementing machine vision systems, preferably in the Railroad, Airport, Heavy engineering, and Utilities business domains. Proficiency in programming languages such as Python, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Architect with 10+ Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Key Responsibilities Collaborate with clients to understand AI project needs and define measurable success metrics Design end-to-end Generative AI solutions with a focus on performance, security, and ethical AI Develop models using GANs, VAEs, NLP transformers , and other generative techniques Implement AI solutions utilizing cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, LangChain, Semantic Kernels) Ensure compliance with Responsible AI and Data Privacy principles, mitigating bias and ensuring ethical AI practices Work alongside engineers and data scientists to integrate and optimize AI models into real-world applications Conduct performance monitoring, troubleshooting, and continuous improvements for AI systems Stay updated with AI advancements and share knowledge with internal teams Your Profile Primary Skills Expertise in Generative AI techniques, including image generation, text synthesis, and function calling Strong understanding of AI/ML algorithms, cloud computing, NLP, and computer vision Proficiency in data science tools (NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras) Solid grasp of Responsible AI, fairness in algorithms, and bias mitigation strategies Excellent communication and solution design skills , capable of translating business needs into technical AI architectures. Secondary Skills Knowledge of industry-specific AI applications (healthcare, finance, manufacturing, etc.) Basic project management abilities to oversee timelines and deliverables Foundational data preprocessing and quality assurance expertise

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Consultant with 9+ Years of IT industry experience in which 2/3 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Key Responsibilities Collaborate with clients to understand AI project needs and define measurable success metrics Design end-to-end Generative AI solutions with a focus on performance, security, and ethical AI Develop models using GANs, VAEs, NLP transformers , and other generative techniques Implement AI solutions utilizing cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, LangChain, Semantic Kernels) Ensure compliance with Responsible AI and Data Privacy principles, mitigating bias and ensuring ethical AI practices Work alongside engineers and data scientists to integrate and optimize AI models into real-world applications Conduct performance monitoring, troubleshooting, and continuous improvements for AI systems Stay updated with AI advancements and share knowledge with internal teams Your Profile Primary Skills Expertise in Generative AI techniques, including image generation, text synthesis, and function calling Strong understanding of AI/ML algorithms, cloud computing, NLP, and computer vision Proficiency in data science tools (NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras) Solid grasp of Responsible AI, fairness in algorithms, and bias mitigation strategies Excellent communication and solution design skills , capable of translating business needs into technical AI architectures. Secondary Skills Knowledge of industry-specific AI applications (healthcare, finance, manufacturing, etc.) Basic project management abilities to oversee timelines and deliverables Foundational data preprocessing and quality assurance expertise

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking a highly skilled Generative AI Senior Lead with 11+ Years of IT industry experience in which 5/6 years should be in AI/ML/DS domain, including Gen AI technologies to lead the design and deployment of cutting-edge AI solutions. The ideal candidate will possess deep expertise in Generative AI , strong analytical skills, and excellent communication abilities to engage with clients and internal teams. This role involves designing AI architectures, implementing scalable models, and ensuring solutions align with business objectives. Roles & Responsibilities: Client Interaction: Collaborate with clients to understand business needs and define AI solutions. Solution Design: Develop AI architectures addressing client objectives and technical requirements. Metrics Definition: Define success criteria and measurable KPIs with stakeholders. Technical Implementation: Guide teams in deploying AI solutions efficiently. Performance Monitoring: Ensure AI model accuracy and recommend improvements as needed. Client Collaboration: Act as the main point of contact between clients and internal teams. Knowledge Sharing: Keep up with Generative AI advancements and contribute insights. Documentation: Maintain detailed technical reports and project records. Solution Design & Communication: Ability to design end-to-end AI solutions, from requirement elicitation to deployment strategy. Experience in architecting systems including data preprocessing, model integration, and optimization. Excellent verbal and written communication skills for client engagement and stakeholder Your Profile Technical Proficiency: Machine Learning Algorithms: Linear/logistic regression, decision trees, random forests, SVMs, neural networks. Data Science Tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras. Cloud Platforms: AWS, Azure, GCP. Natural Language Processing (NLP): Transformer models, attention mechanisms, word embeddings. Computer Vision: CNNs, RNNs, object detection. Robotics: Reinforcement learning, motion planning, control systems. Data Ethics & Responsible AI: Strong understanding of bias in ML, algorithmic fairness, ethical data handling, and transparency. Solution Design & Communication: Ability to design end-to-end AI solutions, from requirement elicitation to deployment strategy. Experience in architecting systems including data preprocessing, model integration, and optimization. Excellent verbal and written communication skills for client engagement and stakeholder presentations. Secondary Skill Set: Domain Knowledge: Understanding of industry applications (healthcare, finance, manufacturing). Project Management: Ability to oversee timelines, milestones, and deliverables, coordinating cross-functional teams. Data Understanding: Strong grasp of feature engineering, preprocessing, and quality assurance.

The Company India's marquee global technology & consulting company. They are an international flag-bearer of technical and managerial excellence. With offices around the globe, the company has a comprehensive presence across multiple segments of the technology product and service industries as well as a blue-chip roster of clients for their Consulting engagements. They are a respected career company and a long-term wealth creator. The Job We are seeking an 6 Years of IT industry experience in which 2/3 years should be in AI/ML/DS domain, including Gen AI technologies. We are seeking an accomplished Generative AI Technical Lead to spearhead the development, implementation, and optimization of Generative AI solutions. As the Lead Developer, you will play a pivotal role in prompt engineering, pipeline creation, workflow establishment, and ensuring the quality of the technical outputs generated by the team. This role requires strong technical expertise in Generative AI, hands-on experience in development, and the ability to lead and guide a team effectively. Primary Skill Set: Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design. Technical Proficiency: Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings Computer vision: Convolutional neural networks, recurrent neural networks, object detection Robotics: Reinforcement learning, motion planning, control systems Data ethics: Bias in machine learning, fairness in algorithms Your Profile Roles & Responsibilities: Technical Leadership: Lead a team of developers in the creation, implementation, and optimization of Generative AI solutions. Provide technical guidance, resolve challenges, and foster a collaborative environment. Prompt Engineering: Spearhead the design and development of prompt engineering strategies to influence and control the output of Generative AI models. Optimize prompts for desired results. Pipeline Design: Design end-to-end data pipelines that encompass data preprocessing, feature engineering, model training, and deployment. Ensure pipelines are efficient, scalable, and well-documented. Technical Review: Review the technical outputs generated by the team, including code, models, and pipelines. Ensure high-quality and maintainable solutions that adhere to best practices. Testing and Validation: Implement testing methodologies to validate the performance and accuracy of Generative AI models. Develop and execute unit tests, integration tests, and validation strategies. Deployment Strategy: Collaborate with DevOps and deployment teams to deploy trained models into production environments. Ensure smooth integration and monitor performance post-deployment. Workflow Optimization: Identify opportunities to optimize development workflows, enhance productivity, and streamline processes. Implement tools and practices to improve efficiency. Collaboration: Interface with cross-functional teams, including data scientists, architects, and business stakeholders. Collaborate on solution design, implementation, and project milestones. Documentation: Maintain comprehensive documentation of technical designs, code, and workflows. Ensure documentation is up-to-date, accessible, and understandable for team members.