Senior HPC and LSF Operations Developer

Nvidia

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CAWestford, MAAustin, TXDurham, NC
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $197k

This role $197k

$141k $252k

below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $157,850–$235,750 — the blue band above. At the midpoint, this role pays about $197k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior HPC and LSF Operations Developer

Role Posting Log in to save

As a Senior HPC and LSF Operations Developer - EDA Infrastructure, you will join the Hardware Infrastructure EDA Compute team to optimize, scale, and support workload scheduling systems. You will manage and tune job scheduling systems like LSF and Slurm in large-scale, multi-site environments to support compute-intensive workloads. Your daily responsibilities include analyzing performance data to identify bottlenecks, leading problem-solving across scheduler and OS layers, and implementing automation to reduce manual effort. You will define reliability metrics and SLOs while partnering with customers to translate technical tradeoffs. Required skills include Linux systems administration on CentOS/RHEL and experience with HPC or silicon design environments. You will address the technical challenge of maintaining infrastructure efficiency and design velocity for complex EDA compute demands.

Skills

LSF Slurm Linux CentOS RHEL HPC Docker Singularity Podman Observability Metrics Collection Monitoring Pipelines Alerting Reliability Engineering Automation SLOs

What you'll do

Manage, scale, and optimize job scheduling systems like LSF and Slurm in multi-site environments.
Analyze infrastructure performance data to identify bottlenecks and improve utilization, throughput, and turnaround time.
Resolve service-impacting issues across the scheduler, operating system, and workload layers.
Implement automation and process improvements to address recurring operational challenges and reduce manual effort.
Define and track reliable metrics and SLOs for service performance and reliability.
Develop and maintain operational standards, documentation, and best practices across multiple sites.
Partner with customer teams to clarify requirements and translate technical tradeoffs.

What we're looking for

Bachelor’s degree in Computer Science or related field, or equivalent experience.
Minimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure.
Strong hands-on experience supporting and tuning job scheduling systems like LSF or Slurm in HPC or silicon design environments.
Proficiency in Linux systems administration (CentOS/RHEL).
Strong problem solving skills to independently analyze complex system behavior under load.
Clear and effective communication skills to articulate technical tradeoffs and reliability metrics to stakeholders.
Experience implementing reliability engineering practices within HPC scheduling environments (preferred).
Experience with container technologies such as Docker, Singularity, or Podman in HPC environments (preferred).

Save