Hybrid Systems Software Engineer – AV Infrastructure, Tooling, Coverage, Analysis

at NVIDIA

• Job title: Systems Software Engineer – AV Infrastructure, Tooling, Coverage, Analysis
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $148,000 - $287,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Distributed Systems, Docker, Grafana, Jenkins, Kubernetes, Linux, Postgres, Prometheus, Python
• Location requirements: Hybrid, Santa Clara, United States

About the role

• Senior Systems Software Engineer developing infrastructure for autonomous vehicle software. Position involves tooling, coverage, and analysis within NVIDIA's advanced perception projects.

Responsibilities

• Design, deploy, and maintain distributed infrastructure to support AV software builds, simulation, and validation
• Operate and optimize Bazel-based build/test pipelines, integrating with CI/CD frameworks (e.g. GitLab, Jenkins)
• Support large-scale data and service workflows with a focus on performance, scalability, and reliability
• Enable developers with tools, wrappers, and automation that improve correctness, prevent regressions, and enforce quality gates before code is merged
• Provide mechanisms for automated analysis, triage, and reporting that help developers and stakeholders act on results quickly
• Build dashboards and metrics for system health, workload quality, and resource utilization across compute and storage environments
• Communicate proactively with stakeholders, ensuring no issues are left unattended and infra evolves alongside developer needs

Requirements

• 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
• Strong background in Linux systems, distributed systems, and infrastructure engineering
• Hands-on experience with Bazel build system and its integration into CI/CD pipelines
• Proficiency in C++, Python and Bash
• Experience with PostgreSQL and data handling at scale
• Knowledge of cloud and on-prem environments: Kubernetes, Docker, VM infrastructure
• Familiarity with logging, monitoring, and alerting stacks (Grafana, Prometheus, ELK stack)
• Ability to collaborate across teams and communicate effectively with developers and stakeholders
• Problem-solving mindset: capable of debugging across the stack (infra, build system, workloads)

Benefits

• health insurance
• retirement plans
• paid time off
• flexible work arrangements
• professional development
• bonuses
• stock options
• equity