דרושים Ai/ml Developer Intern ב-אינטל ב-India, Bengaluru

Qualifications:

• Bachelor’s/Master’s in Computer Science, Electronics Engineering, Mathematics, or related field with 6–12 years of experience.
• Knowledge of ML/DL is a Must including LLM Architecture, Transformer, Attention, Low precision Data type (fp8/fp4), Quantization Techniques, Open source upstreaming, Inference Serving etc.
• Hands-on experience with ML/DL models and distributed training/inference using PyTorch, Tensorflow, vLLM/SGLang or similar frameworks.
• Strong skills in performance debugging, numerical analysis, and regression tracking in validation environments.
• Strong skills in validation framework design and test case development for High level frameworks like SGLang/vLLM
• Proficiency in Python (NumPy, SciPy, Pandas, PyTest)
• Solid Linuxdevelopment/debuggingexperience (git, cmake, gdb, strace, perf), and familiarity with Git/GitHub/Gerrit workflows and CI/CD automation.
• Understanding of distributed systems, HPC/GPU scaling, MPI/torchrun/Fully Sharded Data Parallel/Tensor Parallel, and high-performance networking(Ethernet/InfiniBand).
• Skilled in Docker/Kubernetes, virtualization, performance benchmarking, and automation.
• Strong analytical, problem-solving, and communication skills with ability to work across architecture, development, and validation teams.

: You will be responsible for designing, developing, validating, and optimizing Windows device drivers that interface with camera hardware components and media system frameworks. This role is critical to ensuring seamless hardware-software integration and delivering high-performance, reliable solutions to enable our customers. You will be part of a winning team that deals with a variety of challenges such as research, simulation and architecture of software solutions.
Key Responsibilities:

• Develop and maintain Windows device drivers using Windows driver kits.
• Collaborate with hardware, firmware, and architecture teams to define driver requirements and integration strategies.
• Debug and resolve driver issues using tools like WinDbg, ETL, and Debug Viewer.
• Ensure compatibility across Windows versions and compliance with HLK and other certification requirements.
• Participate in code reviews, documentation, and validation planning.
• Lead or contribute to architectural decisions for driver frameworks and protocols.

Required Skills and Qualifications:

• Bachelor's or Master's degree in Electronics engineering, Computer Science or any similar streams.
• 7+ years of experience with Windows internals and driver development frameworks (KMDF, UMDF, WDM, WDF).
• Strong proficiency in C/C++ and Windows kernel programming.
• Familiarity with hardware interfaces and components such as PCI, camera IPs and sensors.
• Hands-on experience with debugging tools and remote debugging techniques.
• Excellent problem-solving and communication skills.
• A great team player that wish to grow and learn.

Additional preferred skills:

• Experience with audio, sensor, camera driver development.
• Exposure to HLK testing and Windows certification processes.
• Experience in using the scripting languages such as Python or Perl.

Qualifications:

• Bachelor’s/Master’s in Computer Science, Electronics Engineering, Mathematics, or related field with 6–12 years of experience.
• Knowledge of ML/DL is a Must including LLM Architecture, Transformer, Attention, Low precision Data type (fp8/fp4), Quantization Techniques, Open source upstreaming, Inference Serving etc.
• Hands-on experience with ML/DL models and distributed training/inference using PyTorch, Tensorflow, vLLM/SGLang or similar frameworks.
• Strong skills in performance debugging, numerical analysis, and regression tracking in validation environments.
• Strong skills in validation framework design and test case development for Kernel providers like Cutlass, Triton etc.
• Proficiency in Strong C++ development expertise (C++17/STL, Gtest).
• Solid Linuxdevelopment/debugging
• Understanding of distributed systems, HPC/GPU scaling, MPI/torchrun/Fully Sharded Data Parallel/Tensor Parallel, and high-performance networking(Ethernet/InfiniBand).
• Skilled in Docker/Kubernetes, virtualization, performance benchmarking, and automation.
• Strong analytical, problem-solving, and communication skills with ability to work across architecture, development, and validation teams.

Role and responsibilities for this role includes:• Design and develop SW features for AI frameworks - both HW-agnostic and HW-aware, especially in PyTorch device plugin and ML kernel development.
• Enhance and extend the Deep learning training and Inference capabilities in the Software stack.
• Identifying optimization opportunities in the software stack to enhance performance of Deep learning workloads
• Working with Open-source community to support Intel GPUs and upstream code.

• BTech, MS/MTech & PhD in CS, ECE or related fields with an overall experience of 6 to 12 years.
  Proficient in Advanced C++ (C++ 14/17) and Intermediate skills of Python and GPU programming.
• Experience in developing machine learning kernels such as GEMM, Convolution, Flash attention, MoE etc.
• Hands on experience in one of the frameworks such as PyTorch, Tensorflow or JAX.
• Practical knowledge working on deep learning models such as NLPs & LLMs
• Ability to debug complex issues in multi layered SW systems. Understanding of SW integration in large open-source frameworks.
• Strong understanding of computer architecture and HW-SW optimization techniques.
• Experience in working on frameworks/platforms that have gone to production.
• Effective communication skills and experience with working in a cross-geo teams.Preferable
• Experience in developing and integrating CUTLASS or Triton based kernels
• Knowledge of compiler algorithms for heterogeneous system and Fuser optimizations.

• We are looking for a dynamic and passionate contributors to work on Intel’s next generation GPUs.
• Works with internal engineering teams and stakeholders to deliver optimized complex math kernel operators for Intel GPU's.
• Partners with AI framework and workload engineers as needed to optimize endtoend AI models on Intel hardware features.

Role and responsibilities for this role includes:

• Optimizes performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware.
• Researches, develops, and adjusts new or existing complex math kernel code to address performance, numeric issues and modify operations to enhance performance with deterministic results.
• Serves as a trusted technical advisor and provides technical enabling.
• Partners with Intel software and hardware product development teams to accelerate and optimize future products in AI.

• BTech, MS/MTech & PhD in CS, ECE or related fields with an overall experience of 6 to 12 years.
• Proficient in Advanced C++ (C++ 14/17) and Intermediate skills of Python and GPU programming.
• Experience in developing machine learning kernels such as GEMM, Flash attention, MoE, normalization etc.
• Strong understanding of probability theory, linear algebra and statistics.
• Well versed with numerical formats such as float32, float16, flopt8 etc and realted tradeoff's.
• Hands on experience in one of the frameworks such as PyTorch, Tensorflow or JAX.
• Experience in Matlabs Or Cuda.
• Practical knowledge working on deep learning models such as NLPs & LLMs
• Ability to debug complex issues in multi layered SW systems.
• Strong understanding of computer architecture and HW-SW optimization techniques.
• Effective communication skills and experience with working in a cross-geo teams.

• Preferable

  • Experience in developing, optimizing AI or related math kernels, and resolving related numeric issues.

  • Experience in developing, optimizing complex kernels operators like random number generators etc.

Roles and Responsibilities include:

• Design and develop software features for AI frameworks—both hardware-agnostic and hardware-aware.
• Enhance and extend deep learning inference and training capabilities in the software stack.
• Analyze and architect state-of-the-art features across different frameworks and drive development across the full software stack.
• Identify optimization opportunities in the software stack to improve the performance of deep learning workloads.
• Participate in discussions with the open-source community, contribute to development, and upstream software enhancements.

• B.Tech or M.S./M.Tech in CS, ECE, or related fields with 6–12 years of overall experience.
• Proficient in Python-based complex software implementations; intermediate knowledge of advanced C++ (C++14/17) and parallel programming.
• In-depth, hands-on experience with frameworks such as PyTorch, vLLM, and SGLang.
• Experience with advanced inference-serving features such as disaggregated serving, quantization, speculative decoding, and constrained decoding.
• Strong understanding of LLMs
• Practical knowledge of deep learning models for image and video generation is desirable.
• Ability to debug complex issues in multi-layered software systems; understanding of software integration in large open-source frameworks.
• Strong understanding of computer architecture and HW-SW optimization techniques.
• Effective communication skills and experience working in cross-geo teams.
• Ability to perform performance analysis of code on both host and accelerators/GPUs using open-source and proprietary profilers.
• Understanding of the competitive landscape for technologies in this domain.

Preferred

• Experience developing and integrating CUTLASS or Triton-based kernels for deep learning.
• Knowledge of compiler algorithms for heterogeneous systems and fuser optimizations.

• Design and develop SW features for AI frameworks - both HW-agnostic and HW-aware, especially in PyTorch device plugin and ML kernel development.
• Enhance and extend the Deep learning training and Inference capabilities in the Software stack.
• Identifying optimization opportunities in the software stack to enhance performance of Deep learning workloads
• Working with Open-source community to support Intel GPUs and upstream code.

• BTech, MS/MTech & PhD in CS, ECE or related fields with an overall experience of 6 to 12 years.
  Proficient in Advanced C++ (C++ 14/17) and Intermediate skills of Python and GPU programming.
• Experience in developing machine learning kernels such as GEMM, Convolution, Flash attention, MoE etc.
• Hands on experience in one of the frameworks such as PyTorch, Tensorflow or JAX.
• Practical knowledge working on deep learning models such as NLPs & LLMs
• Ability to debug complex issues in multi layered SW systems. Understanding of SW integration in large open-source frameworks.
• Strong understanding of computer architecture and HW-SW optimization techniques.
• Experience in working on frameworks/platforms that have gone to production.
• Effective communication skills and experience with working in a cross-geo teams.Preferable
• Experience in developing and integrating CUTLASS or Triton based kernels
• Knowledge of compiler algorithms for heterogeneous system and Fuser optimizations.