Principal Open Source AI/ML Solutions Engineer
AMD · Bangalore · 18+ yrs experience · Posted 2026-03-23
Tech stack: C++, Docker, Kubernetes, Python
About the role
Principal Open Source AI/ML Solutions Engineer THE GROUP: AI is defining the next era of computing, and this is just the beginning. We see the benefits of AI every day—enabling medical research, curbing credit card fraud, reducing congestion in cities, or simply making life easier.
Responsibilities:
- Architectural Design: Own architectural design and development of GPU software components, ensuring alignment with industry standards and best practices.
- Technical Leadership: Act as one of the subject matter experts in GPU technologies, providing guidance and mentorship to junior engineers in the team on complex technical challenges.
- Software Development: Design, write, and deliver high-quality open software solutions that enhance GPU performance and capabilities. This includes developing drivers, APIs, and other critical software components.
- Research and Innovation: Conduct research to explore new technologies and methodologies that can improve GPU performance and efficiency. Propose innovative solutions to meet evolving market demands.
- Collaboration: Work collaboratively with cross-functional teams, including hardware engineers, system architects, and product managers, to ensure successful integration of GPU technologies into broader systems.
- Documentation and Standards:
- Develop comprehensive technical documentation and establish coding standards to ensure maintainability and scalability of software products.
- EXPERIENCE - Must have:
- Strong C++ and Python programming skills.
- Performance analysis skills for both CPU and GPU
- Good knowledge of AI/ML Frameworks and Architecture
- Basic GPU kernel programming knowledge
- Experience with software engineering methodologies such as Agile, Scrum, Kanban.
- Experience in all the phases of software development, from requirement gathering, analysis, design, development, testing to final release.
- Experience developing software in an end customer product delivery environment.
- Experience with open-source software development including collaboration with community maintainers and submitting contributions.
- Excellent analytical and problem-solving skills.
- Strong communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
- Ability to work independently and as part of a team.
- Willingness to learn skills, tools, and methods to advance the quality, consistency, and timeliness of AMD software products.
- EXPERIENCE - Good to have:
- Experience with GPU kernel programming using CUDA, HIP or OpenCL.
- Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI)
- Experience in PyTorch, TensorFlow, JAX.
- Experience with Singularity, Docker, and/or Kubernetes.
Qualifications:
- BE / B-Tech with several years of related experience or M-Tech with years of related experience or PhD with years of related experience in Computer Science or Computer Engineering or related equivalent.
- Overall 18+ years of experience
Qualifications
- BE / B-Tech with several years of related experience or M-Tech with years of related experience or PhD with years of related experience in Computer Science or Computer Engineering or related equivalent.
- Overall 18+ years of experience
Responsibilities
- Architectural Design: Own architectural design and development of GPU software components, ensuring alignment with industry standards and best practices.
- Technical Leadership: Act as one of the subject matter experts in GPU technologies, providing guidance and mentorship to junior engineers in the team on complex technical challenges.
- Software Development: Design, write, and deliver high-quality open software solutions that enhance GPU performance and capabilities.
- This includes developing drivers, APIs, and other critical software components.
- Research and Innovation: Conduct research to explore new technologies and methodologies that can improve GPU performance and efficiency.
- Propose innovative solutions to meet evolving market demands.
- Collaboration: Work collaboratively with cross-functional teams, including hardware engineers, system architects, and product managers, to ensure successful integration of GPU technologies into broader systems.
- Documentation and Standards:
- Develop comprehensive technical documentation and establish coding standards to ensure maintainability and scalability of software products.
- EXPERIENCE Must have:
- Strong C++ and Python programming skills.
- Performance analysis skills for both CPU and GPU
- Good knowledge of AI/ML Frameworks and Architecture
- Basic GPU kernel programming knowledge
- Experience with software engineering methodologies such as Agile, Scrum, Kanban.
- Experience in all the phases of software development, from requirement gathering, analysis, design, development, testing to final release.
- Experience developing software in an end customer product delivery environment.
- Experience with open-source software development including collaboration with community maintainers and submitting contributions.
- Excellent analytical and problem-solving skills.
- Strong communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
- Ability to work independently and as part of a team.
- Willingness to learn skills, tools, and methods to advance the quality, consistency, and timeliness of AMD software products.
- EXPERIENCE Good to have:
- Experience with GPU kernel programming using CUDA, HIP or OpenCL.
- Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI)
- Experience in PyTorch, TensorFlow, JAX.
- Experience with Singularity, Docker, and/or Kubernetes.