Nvidia Systems Software Engineer AV Infrastructure - Tooling Coverage Analysis 

United States, Texas 

689355305

What you’ll be doing:

• 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.

What we need to see:

• 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).

Ways to stand out from the crowd:

• 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 (Codebeamer/Jama) or traceability workflows.

• Familiarity with AI-assisted tooling (LLMs, code assistants, automation bots) for accelerating infra and developer workflows.