Principal AI Cluster Performance Validation Engineer - TX, Austin, United States
Originally posted 9 September 2026 by the employer.
Optimize and achieve peak performance for GPU clusters, focusing on RDMA networks.
About the role
This role focuses on the RDMA networks used in AI Clusters, understanding data flows between GPU, NIC, and cluster network.
What you'll do
- Evaluate the scalability of GPU clusters by conducting thorough testing under various workloads and networking technologies (RoCE).
- Develop and execute comprehensive benchmarking strategies to assess baseline performance, analyze bottlenecks, and identify areas for improvement within GPU cluster environments.
- Collaborate with hardware and software teams to enhance the overall performance of GPU clusters, focusing on aspects such as RDMA throughput, RoCE v2 network congestion, latency, and collective communications.
- Utilize profiling tools and methodologies to analyze and identify performance bottlenecks, providing actionable insights for improvement.
- Implement optimization strategies, including protocol enhancements, load balancing techniques, and parallel processing optimizations.
- Create detailed documentation of performance analysis, tuning efforts, and outcomes, providing clear and concise reports for internal teams and stakeholders.
What you'll need
- Proven experience in optimizing the performance of GPU clusters.
- RDMA network configuration, troubleshooting, and performance tuning.
- Strong understanding of GPU architectures, parallel computing concepts, and network protocols.
- Proficiency in scripting languages (e.g., Python, Bash) for automation and performance analysis.
- Experience with system level performance analysis tools and methodologies for GPU clusters.
- Analytical mindset with excellent problem-solving and debug skills.
Nice to have
- Linux kernel networking expertise
- Machine learning and/or HPC system design
Skills: GPU clusters, RDMA networks, RoCE, performance tuning, Linux kernel networking
This role has been open 35 days — well below the 50-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
973
|
Median days open
50 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (973 roles · 85 employers) |
|---|---|---|
| Open roles in this specialty | 55 | 973 |
| Open roles in the wider Software, Firmware & Systems family | 404 | 6140 · 145 employers |
| Median days open | 21 d | 50 d (−29 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: GPU clusters, RDMA networks, RoCE, performance tuning, Linux kernel networking
Who's hiring in this category
- NVIDIA · 289 open roles · median 44 d
- Qualcomm · 61 open roles · median 57 d
- AMD (this employer) · 57 open roles · median 21 d
- Graphcore · 44 open roles · median 90 d
- Intel Corporation · 40 open roles · median 9 d
- Cerebras · 39 open roles · median 80 d
How we counted: 973 open Infrastructure/Platform Software (Infrastructure Platform) roles from 85 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.