Senior Systems Software Engineer – Autonomous Vehicles Infrastructure 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, Artificial Intelligence, TechnologyIndustries

Requirements

BS or MS or equivalent experience in Computer Science, Computer Architecture, Electrical Engineering or related field
12+ years designing and building distributed systems with a strong foundation in Linux systems and infrastructure engineering
Proficiency in Python and deep experience working with container orchestration and cloud/on-prem environments (Kubernetes, Docker, VMs)
Familiarity with monitoring, logging, and alerting tools such as Grafana, Prometheus, and ELK stack
Proven ability to debug complex systems spanning infrastructure, build processes, and workload execution
Proven capability to collaborate effectively and communicate clearly, with a history of successful partnerships with engineering teams and business partners
Demonstrated problem-solving mentality with a drive to own solutions end-to-end and thrive in a fast-paced, innovative environment
Strong interpersonal skills, capable of leading across geographies and organizational boundaries

Responsibilities

Architect, design, and implement distributed infrastructure solutions to support AV software builds, large-scale simulation testing, and real-time observability
Innovate developer tooling and automation frameworks to mitigate integration challenges, avert regressions, and uphold quality standards
Design comprehensive metrics to monitor system health, workload quality, and resource utilization across complex compute and storage environments
Collaborate deeply with multi-functional AI teams to translate their requirements into scalable, future-proof platforms that boost efficiency and accelerate innovation
Serve as a technical leader, driving architecture decisions and guiding project execution across the entire platform
Partner with software, hardware, safety, and product management teams to translate product visions into actionable architecture and design documentation
Take ownership of driving proof-of-concept projects, writing technical proposals, and championing novel infrastructure solutions that tackle complex, unsolved challenges

Skills

Linux

Distributed Systems

Systems Architecture

Automation Frameworks

Observability

Metrics

CI/CD

Simulation Testing

Compute Infrastructure

Storage Systems

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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