GPU Communications Developer
Job Summary
Job Description
- Experience architecting and developing communication software
- Deep expertise with distributed programming models (MPI, SHMEM)
- Deep expertise with RoCE, RDMA, and network topologies
- Experience with system software development in C/C++
- Analytical and performance analysis skills
- Effective communication and problem-solving skills
- Proven history of communication software thought leadership
- Advanced degrees, such as Master's or Ph. D. are preferred
4 skills required
Job Details
The ROCm Communication Collectives Library (RCCL) is a stand-alone library that provides multi-GPU and multi-node collective communication primitives optimized for AMD GPUs. It uses PCIe and xGMI high-speed interconnects.
Responsibilities
Provide deep technical leadership and guidance for GPU communication technologies, define the technical vision and direction for the GPU communication software stack.
Engage with executives and key stakeholders to provide insight into industry trends and recommend strategic initiatives. Influence the future direction of the company's technical portfolio.
Represent AMD in leadership positions at industry organizations and standards bodies.
Engage with clients and industry partners to deeply understand technical needs, ensuring their satisfaction with tailored solutions that leverage your experience in strategic customer engagements and architectural wins.
Collaborate with hardware and software architects, system engineers and business teams in identifying requirements and building roadmaps for future products.
Mentor engineers and technical leaders, fostering a culture of innovation and excellence. Help develop the next generation of leaders through coaching, training, and feedback.
Skills
Must have
Experience architecting and developing communication software solutions for accelerators using RDMA and accelerator-to-accelerator fabrics (eg. Infinity Fabric, UALink), from low-level device drivers and OS internals up through applications and AI/ML frameworks
Deep expertise with distributed programming models (MPI, SHMEM), and the implementation and optimization of collective communication algorithms
Deep expertise with RoCE, RDMA, and network topologies
Experience with system software development in C/C++, and GPU software development and parallel programing
Analytical and performance analysis skills
Effective communication and problem-solving skills
Proven history of communication software thought leadership, backed with patents, publications, and participation in industry standards bodies
Nice to have
Advanced degrees, such as Master's or Ph. D. are preferred
Other
Languages
English: C1 Advanced
Seniority
Senior
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