8 дней назад
Senior HPC Developer (RDMA Networking)
150 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior HPC Developer (RDMA Networking): Building and optimizing GPU and networking subsystems for multi-node, multi-GPU workloads with an accent on low-level C/C++, collective communication, and RDMA technologies. Focus on debugging performance across kernel, driver, GPU, and network layers, tuning systems with low-level tooling, and developing GPU-aware networking solutions.
Location: On-site in Palo Alto, California, United States
Base salary: $150,000–$230,000 per year. The compensation package may also include stock options or other equity awards.
Company
is a startup founded by Stanford researchers and systems engineers that develops software-driven fabrics for improving GPU cluster utilization through observability, fault tolerance, and performance acceleration.
What you will do
- Build and optimize high-performance GPU and networking subsystems.
- Develop collective communication libraries and algorithms for multi-node, multi-GPU workloads.
- Debug performance issues across kernel, driver, GPU, and network layers.
- Develop and improve GPU-aware networking solutions.
- Profile, analyze, and tune system performance using low-level tooling.
- Collaborate with a small engineering team and own core systems.
Requirements
- 5+ years of experience in systems, HPC, or performance-critical software development.
- Strong proficiency in low-level C/C++.
- Solid understanding of RDMA networking, including InfiniBand, RoCE, and IBVerbs.
- Experience with multi-node, multi-GPU workloads.
- Familiarity with collective communication libraries and communication algorithms.
- Ability and willingness to debug complex issues across hardware and software boundaries.
Nice to have
- Experience with congestion control mechanisms such as DCQCN.
- Exposure to GPU-aware networking or advanced communication optimizations.
- Experience with performance profiling, tracing, or observability tooling.
- Background in AI infrastructure, HPC clusters, or distributed systems.
Culture & Benefits
- Challenging projects involving GPU clusters and high-performance networking.
- Friendly and inclusive workplace culture.
- Competitive compensation and benefits package.
- Catered lunch.
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