NVIDIA · 20 hours ago
Senior Systems Software Engineer, AV Infrastructure - Validation and Distributed Systems
Santa Clara, CA
Full-time
Onsite
Senior Level
$152K/yr - $218K/yr
5+ years expNVIDIA is a leading company in AI-powered applications, seeking a motivated Senior Systems Software Engineer to join their Autonomous Vehicle Infrastructure organization. The role focuses on building, deploying, and operating validation platforms at scale, integrating distributed systems, and managing large-scale data pipelines for autonomous driving.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Deploy and operationalize vendor-provided platforms in our cloud-based service platform, starting with test environments to validate dependencies, workflows, and performance
Build and maintain distributed infrastructure that supports large-scale log ingestion, data processing, and scenario validation at scale
Automate workflows and pipelines using Go, Python, Bash, and Bazel to ensure reproducibility, efficiency, and reliable distributed execution
Integrate simulation and drive logs (e.g. world model data, road geometries) in various formats (e.g. protobuf, parquet) with validation platforms, ensuring seamless end-to-end coverage analysis
Provide visualization and reporting capabilities to surface validation results, coverage metrics, and actionable insights for developers and stakeholders
Define and manage access controls, monitoring, and security policies to ensure compliance while enabling smooth collaboration across internal and vendor teams
Partner closely with internal teams and external vendors to troubleshoot 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 Linux systems, Kubernetes/Docker, Terraform, and CI/CD pipelines
Strong scripting/development skills in Python, Bash, and exposure in C++ and/or GoLang
Familiarity with Bazel build/test automation frameworks
Experience in data/log ingestion workflows and distributed compute/storage systems
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
Preferred
Strong experience in large-scale distributed systems or GPU/CPU cluster deployments, infrastructure automation, data pipelines, and AWS
Prior experience with scenario-based validation platforms or AV simulation ecosystems
Strong knowledge of logging/monitoring/alerting frameworks (Prometheus, Grafana, ELK stack)
Experience working directly with external vendors to integrate platforms and operationalize SLAs
Proactive use of AI/ML techniques to accelerate log analysis, coverage metrics, or integration workflows
Benefits
Equity
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
Represents job field similar to this job
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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