Nvidia

Senior Systems Software Engineer, Workload Systems Engineering

US, CA, Santa Clara · Senior

Sponsorship not specifiedDetected 2 days ago

Distributed SystemsLinuxSystems Engineering

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odds of building a lasting career here

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Cap-exempt (no lottery)0

Sponsors this role100

Entry-level history0

PERM / green-card track0

Lottery odds40

Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 95%

Of 584 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

diagnosing causes of slow or failing workloads, trying alternatives in representative scenarios, applying improvements with others, and verifying customer advantages.
Give customers and on-call teams useful diagnostic views across application, submission, remote-execution, and host or target layers so they can identify where failures and slowdowns originate.
Set performance and reliability benchmarks for representative workloads.

Responsibilities

Build shared self-service and validation mechanisms that let engineering teams configure and use supported infrastructure workflows with less manual assistance.
What we need to see: Over 8 years of solid software engineering experience working with production compute infrastructure, distributed systems, large-scale build and test systems, or comparable systems software.
A record of building customer self-service or observability tools and using incident and retry data to drive verified reliability improvements.

Requirements

Proficiency in a systems programming or automation language and experience delivering tested changes into production infrastructure.
A degree in computer science, computer engineering, or a related field, or equivalent experience.
Experience with workload placement, CPU and GPU concurrency, NUMA, cloud-instance benchmarking, or cost and performance tradeoffs.
Experience with GPU sharing and isolation, CUDA execution behavior, MIG or MPS or equivalent experience, GPU driver diagnostics, or high-performance computing workloads.

Compensation

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Benefits

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
You will also be eligible for equity and benefits.

Company info

Ability to work across teams with different component ownership, turn ambiguous symptoms into a clear technical plan, and explain results to engineering customers.
Apply profiling, metrics, traces, and controlled experiments to pinpoint the changes that make a difference.
Ways to stand out from the crowd:

Equal opportunity

equal opportunity employer.

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This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.