NVIDIA

4 weeks ago

HPC Infra Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Be part of NVIDIA's CAD/EDA/HPC team building and scaling compute infrastructure for next-generation silicon. Own job schedulers, CAD toolchains, automation, and hybrid cloud integration to extend on-prem CAD capacity, while ensuring throughput and tapeout readiness.

Location: Bengaluru, Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•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.

Key Requirements

•B.E./B.Tech or M.Tech/MS in Computer Science, Electronics Engineering, or related field, or equivalent experience
•3+ years hands-on experience in VLSI CAD infrastructure, EDA compute environments, HPC system administration, or SRE roles supporting engineering infrastructure
•Strong Linux/Unix administration skills with large-scale compute farms using LSF and/or Slurm, and proficiency in at least one scripting language (Python preferred)
•Hands-on knowledge of cloud platforms (GCP, OCI, AWS, or Azure) including compute, storage, networking, and cost fundamentals
•Good understanding of CAD/EDA flows such as synthesis, P&R, simulation, DRC/LVS, or equivalent implementation/verification flows

Experience:3+ yearsSemiconductorVLSICAD/EDAHPC

Education:Bachelor's

Skills:Problem-solvingCollaborationAttention to detail

Tech Stack:LSFSlurmPythonPerlBashTclLinuxDockerKubernetesAnsibleTerraformAWSAzureGCPOCISRE

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

HPC Infra Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Bengaluru, Hyderabad

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•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.

Key Requirements

•B.E./B.Tech or M.Tech/MS in Computer Science, Electronics Engineering, or related field, or equivalent experience
•3+ years hands-on experience in VLSI CAD infrastructure, EDA compute environments, HPC system administration, or SRE roles supporting engineering infrastructure
•Strong Linux/Unix administration skills with large-scale compute farms using LSF and/or Slurm, and proficiency in at least one scripting language (Python preferred)
•Hands-on knowledge of cloud platforms (GCP, OCI, AWS, or Azure) including compute, storage, networking, and cost fundamentals
•Good understanding of CAD/EDA flows such as synthesis, P&R, simulation, DRC/LVS, or equivalent implementation/verification flows

Experience:3+ yearsSemiconductorVLSICAD/EDAHPC

Education:Bachelor's

Skills:Problem-solvingCollaborationAttention to detail

Tech Stack:LSFSlurmPythonPerlBashTclLinuxDockerKubernetesAnsibleTerraformAWSAzureGCPOCISRE

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor