HPC Systems Engineer - AI Workloads - CA, San Jose, United States
Originally posted 8 September 2026 by the employer.
Design, develop, and administer High-Performance Computing (HPC) infrastructure and GPU clusters.
About the role
This role is responsible for the design, development, and administration of High-Performance Computing (HPC) infrastructure, GPU clusters, and AI workload schedulers within AMD IT compute platforms engineering team.
What you'll do
- Develop, implement, and maintain GPU-based clusters, ensuring optimal performance.
- Administer ML/AI platforms by managing deployments, resource allocation, monitoring, and security for Distributed ML services, LLMs, and AI inferencing.
- Automate system provisioning and cluster management end-to-end.
- Collaborate with cross-functional teams to address AI infrastructure requirements, support AI-related projects, and provide technical expertise.
- Monitor and evaluate the performance of AI systems and clusters, ensuring adherence to industry best practices and company standards.
- Use AI/ML to continuously improve internal processes and tools used in end-to-end service delivery.
What you'll need
- Experience in developing Python based AI apps and UI.
- HPC infrastructure engineering for AI/HPC domain.
- SLURM and Kubernetes management.
- Managing GPU clusters optimizing GPU-based services/tools/software.
- Experience in creating web services with HPC backend.
- Proficiency in RoCEv2, K8s, KVM, Ubuntu, Python, Shell, GPU drivers, and Cluster interconnect with 400G networking.
- Demonstrated experience with AI workload schedulers and allocation optimization.
- Experience with automation/monitoring tools such as Ansible, Saltstack, Terraform, Prometheus, or Grafana.
Nice to have
- Bachelor's or master's degree in computer science or computer engineering.
Skills: HPC infrastructure, GPU clusters, AI workload schedulers, ML/AI platforms, SLURM, Kubernetes
This role has been open 36 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: HPC infrastructure, GPU clusters, AI workload schedulers, ML/AI platforms, SLURM, Kubernetes
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.