NVIDIA · 1 week ago
Senior Systems Software Engineer, AV Infrastructure - Validation, Tooling, and Coverage
Santa Clara, CA
Full-time
Onsite
Senior Level
$152K/yr - $242K/yr
5+ years expNVIDIA has become the platform upon which every new AI-powered application is built. They are seeking a motivated Senior Systems Software Engineer to join their Autonomous Vehicle Infrastructure organization, focusing on building, deploying, and operating validation platforms at scale.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Optimize and operationalize Bazel-based build/test pipelines, integrating with CI/CD frameworks (e.g. Jenkins, GitLab)
Enable developers with tools, wrappers, and automation using Go, Python, and Bazel that improve correctness, prevent regressions, and enforce quality gates before code is merged
Provide mechanisms for automated analysis, triage, and reporting that helps developers and customers act on results quickly
Deploy and operationalize vendor-provided platforms in our cloud-based service platform, starting with test environments to validate dependencies, workflows, and performance
Provide visualization and reporting capabilities to surface validation results, coverage metrics, and actionable insights for developers and collaborators
Communicate proactively with stakeholders, ensuring no issues are left unattended and infrastructure evolves alongside developer needs
Partner closely with internal teams and external vendors to solve issues, refine SLAs, and continuously improve operational reliability and scalability
Qualification
Required
BS/MS in Computer Science, Computer Engineering, or relevant field (or equivalent experience)
5+ years of professional experience in infrastructure, distributed systems, or platform engineering
Hands-on experience with Bazel build/test automation frameworks
Proficiency in C++, Python, and Bash coding skills
Strong background in Linux systems, distributed systems, and infrastructure engineering
Knowledge of cloud and on-prem environments, i.e. Kubernetes, Docker, VM infrastructure
Strong debugging, problem-solving, and communication skills to work across internal and vendor teams
Proven comfort leveraging AI-based development tools, such as Claude Code and Cursor
Problem-solving mindset: capable of debugging across the stack (infra, build system, workloads)
Preferred
Prior experience with coverage frameworks (lCOV, Gcov, VectorCAST) and delivering quality metrics in compliance-heavy environments
Hands-on experience with static analysis tooling like Coverity, and embedding it into developer workflows
Background in safety-critical domains like automotive, with audit-driven workflows
Experience in requirements management tools (e.g, Jama) or traceability workflows
Strong experience in large-scale distributed systems and using AI to accelerate debug and integration workflows
Benefits
Equity and benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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