Senior Systems Software Engineer, AV Infrastructure - Validation and Distributed Systems 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
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

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

Skills

Python

Bash

Bazel

Protobuf

Parquet

Distributed Systems

Data Pipelines

Cloud Platforms

Automation

Monitoring

Access Controls

Security Policies

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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