Senior Systems Software Engineer - Autonomous Vehicles Platform

Posted 25 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop embedded real-time systems software for autonomous vehicle safety services. Optimize solutions for performance and compliance while collaborating with multifaceted teams to integrate technologies into NVIDIA's self-driving platform.
Summary Generated by Built In

Our Autonomous Vehicles Platform team is searching for engineers to develop and bring NVIDIA's automotive platform out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and very meaningful. We have deadlines, customers, and competition.

What you'll be doing:

  • Develop embedded real time system software responsible providing safety services for Advance Driver Assistance System

  • Optimize solution to meet all product, safety and system level requirements and satisfy key performance indicators

  • Adhere to development rigor that insures achieving the overall product safety goals and develop supporting work-products that align with functional safety process

  • Collaborate with software, hardware, and integration teams to derive and drive system level architecture and requirements

  • Regularly engage with customer teams directly to customize, integrate, and productize

  • Analyze sophisticated technical issues and independently drive resolution across multiple teams

  • Work in an environment which involves RTOS, Classic AUTOSAR, QNX/Linux OS, Real time embedded environment

What we need to see:

  • BS, MS in CS/CE/EE, or equivalent experience

  • 8+ years in a related field

  • Must have detailed experience with Classic Autosar Software Stack and associated development tools

  • Excellent C and C++ coding skills along with proficiency in Scripting languages

  • Master of software debugging tools: software debuggers, analyzers, trace loggers

  • Deep understanding of SoC principles, general systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling

  • Excellent communication and organization skills, with a logical approach to problem solving, good time management and task prioritization

Ways to stand out from the crowd:

  • Prior experience in Automotive field and usage of AUTOSAR Stack

  • Background with Real time embedded environments, RTOS and tools

  • Prior experience working with CAN and tools, RADAR, LiDAR is a plus

  • Experience with onsite and offsite customer support

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • BS, MS in CS/CE/EE or equivalent experience
  • 8+ years in a related field
  • Detailed experience with Classic AUTOSAR Software Stack and associated tools
  • Excellent C and C++ coding skills
  • Proficiency in scripting languages
  • Experience with software debugging tools like debuggers and analyzers
  • Deep understanding of SoC principles, system architectures, operating systems, device drivers
  • Excellent communication and organization skills

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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