Senior Software Systems Engineer - Autonomous Vehicles

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, Automotive, Software Development, Artificial IntelligenceIndustries

Requirements

Candidates must possess a Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field, or equivalent experience. A minimum of 7+ years of professional software development experience is required, with at least 2 years specifically in autonomous vehicles, robotics, or embedded/automotive platforms. Strong expertise in C++ (and C) is essential, including hands-on experience with real-time, multithreaded, or performance-critical systems. Proven experience in software architecture, modular design, and framework/API development is necessary, along with familiarity with GPGPU programming (CUDA) and runtime optimization. Experience working in Linux, QNX, or other embedded RTOS environments is required, as are excellent communication and collaboration skills for multidisciplinary teams. A passion for robotics, AI, and autonomous vehicles is also sought.

Responsibilities

The Senior Software Systems Engineer will develop and implement core autonomous driving features by fusing perception DNNs and HD map data, supporting both map-based and mapless driving. They will drive architectural improvements to modularize the software stack, establish clean interfaces, and enable extensibility across multiple product lines and OEMs. Responsibilities include profiling and tuning system performance for embedded and safety-critical environments using C++ and GPGPU programming (CUDA), and writing safe embedded software code for real-time systems. Collaboration with global teams to define interfaces, improve integration velocity, and mentor engineers is expected, as is the development of algorithms and software that meet automotive quality and safety standards with rigorous test coverage and documentation.

Skills

Software Architecture

Real-time Systems

C++

GPGPU Programming

CUDA

Embedded Software

Perception DNNs

HD Map Data

Autonomous Driving

Software Development

System Performance Tuning

Safety Standards

Test Coverage

Documentation

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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