Senior Systems Software Engineer - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, TechnologyIndustries

Requirements

BS, MS, or PhD degree in computer science, robotics, electrical engineering, or related technical field (or equivalent experience)
8+ years of work experience in software development related to autonomous driving and/or simulation technologies
Strong C/C++ development skills
Proficiency in Python
Experience with middleware frameworks and sophisticated system-level integrations
Ability to adapt to fast-paced development lifecycles and multi-functional organizations

Responsibilities

Design, build, and deploy simulation-focused frameworks and tooling for autonomous vehicle development and integration testing
Lead bring-up and integration activities as the trusted technical expert for external partners, providing domain expertise to resolve functional and simulation-related issues
Perform in-vehicle and simulation test drives, collect data, and conduct deep analysis for simulation-to-real comparative analysis
Collaborate with engineering and product teams across US, APAC, and Europe locations to drive modern simulation solutions for partners, ensuring accurate validation and verification
Provide technical leadership and mentoring to multi-functional engineering teams

Skills

Key technologies and capabilities for this role

C++Pythonmiddleware frameworkssystem integrationsimulation technologiesautonomous driving

Questions & Answers

Common questions about this position

What is the salary for this Senior Systems Software Engineer position?

This information is not specified in the job description.

Is this role remote or hybrid, and where is it located?

The position is hybrid.

What skills are required for this role?

Required skills include strong C/C++ development skills, proficiency in Python, experience with middleware frameworks and sophisticated system-level integrations, and the ability to adapt to fast-paced development lifecycles and multi-functional organizations.

What is the company culture like at NVIDIA for this role?

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.

What experience makes a strong candidate for this position?

Candidates need 8+ years of work experience in software development related to autonomous driving and/or simulation technologies, plus a BS, MS, or PhD in computer science, robotics, electrical engineering, or related field.

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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