Systems Software Engineer, AV Infrastructure - Tooling, Coverage, and Analysis at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI, TechnologyIndustries

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)

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

Skills

Key technologies and capabilities for this role

BazelGitLabJenkinsCI/CDDistributed SystemsBuild PipelinesSimulationValidationAutomationDashboardsMetrics

Questions & Answers

Common questions about this position

What experience level is required for this Systems Software Engineer role?

The role requires 5+ years of professional experience in infrastructure, distributed systems, or platform engineering.

What are the key technical skills needed for this position?

Required skills include strong background in Linux systems, distributed systems, and infrastructure engineering; hands-on experience with Bazel build system and CI/CD pipelines; proficiency in C++, Python, and Bash; experience with PostgreSQL, Kubernetes, Docker; and familiarity with logging/monitoring stacks like Grafana, Prometheus, and ELK.

What education is required for this role?

A BS/MS in Computer Science, Computer Engineering, or relevant field (or equivalent experience) is required.

Is this a remote position, or does it require office work?

This information is not specified in the job description.

What salary or compensation does this role offer?

This information is not specified in the job description.

What makes a candidate stand out for this position?

Candidates stand out with prior experience in coverage frameworks like lcov, gcov, VectorCAST; hands-on experience with static analysis tools like Coverity integrated into workflows; and background in safety-critical domains like automotive.

What soft skills are important for this role?

The role requires ability to collaborate across teams, communicate effectively with developers and stakeholders, and a problem-solving mindset capable of debugging across the stack.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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