Job Description
NVIDIA is looking for an exceptional engineer to grow and thrive alongside our CAD/EDA/HPC team. You will build and scale the compute infrastructure that powers NVIDIA's next-generation silicon — owning job scheduler environments, cloud
compute integration, CAD toolchains, and automation frameworks that keep our design teams moving at full speed toward tapeout.
What you'll be doing:
Be part of the CAD/EDA/HPC team building and scaling the compute infrastructure that powers NVIDIA's next-generation silicon design.
Own job scheduler environments, CAD toolchains, automation frameworks, and operational workflows that keep design teams moving efficiently toward tapeout.
Integrate and operate hybrid cloud environments across AWS, Azure, GCP, or OCI to elastically extend on-premises CAD capacity.
Troubleshoot CAD/EDA software and infrastructure performance issues, benchmark workloads, and improve tool and compute efficiency.
Build automation in Python, Perl, Bash, or Tcl for job scheduling, monitoring, capacity reporting, and recurring operational workflows.
Operate large-scale Linux compute farms using LSF and/or Slurm while partnering with design teams on throughput, utilization, and tapeout capacity planning.
What we need to see:
B.E./B.Tech or M.Tech/M.S. in Computer Science, Electronics Engineering, or a related field, or equivalent experience.
3+ years of hands-on experience in HPC system administration, Cloud infrastructure, Systems engineering or SRE roles supporting engineering infrastructure.
Strong Linux/Unix administration skills, large-scale compute farm experience with LSF and/or Slurm, and proficiency in at least one scripting language; Python is preferred.
Hands-on experience managing GPU nodes/compute farms
Hands-on knowledge of cloud platforms such as GCP, OCI, AWS, or Azure, including compute, storage, networking, and cost fundamentals.
Preferred exposure to Linux performance engineering, Docker/Kubernetes, infrastructure as code such as Ansible or Terraform, distributed file systems, and observability stacks.
Experience supporting the environments where CAD/EDA flows such as synthesis, place and route, simulation, DRC/LVS, or equivalent implementation and verification flows is preferred.
Required Skills
Categories
Frequently asked questions
Is the HPC Infra Engineer position at NVIDIA remote?
The HPC Infra Engineer role at NVIDIA is an on-site or hybrid position.
What type of employment is the HPC Infra Engineer role?
NVIDIA is hiring for a full-time HPC Infra Engineer position.
What skills are needed for the HPC Infra Engineer job at NVIDIA?
Key skills for this role include Python, Kubernetes, Docker, AWS, GCP, Azure, GPU, Terraform.
How do I apply for the HPC Infra Engineer position at NVIDIA?
You can apply for the HPC Infra Engineer role directly through NVIDIA's official application link provided on this page.