NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the Embedded Automotive System Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production embedded software and and SOC platforms. You should demonstrate the ability to excel in an environment with complex software and hardware designs.
What you'll be doing:
Define, design, develop and verify features for our new SoCs platforms, collaborating with hardware engineers and fellow software engineers.
Be heavily involved with the performance, power management, and all of system software required to produce our world-class products.
Have multiple opportunities to collaborate and communicate effectively with teams across the globe.
What we need to see:
BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.
8+ years of significant software development experience of working with large modules.
Strong C programming, C++, low-level driver and SOC system platform experience.
Experience designing, developing and debugging multithreaded/distributed applications like multimedia systems and sensor systems.
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals.
Thrive on designing low latency, highly performant code.
Excellent communication and analytical skills.
Kernel and Drivers experience with Linux, Android, Unix, RTOS and/or QNX
Experience with complex SOC systems and memory debugging.
Be hands-on and work well within a team of algorithm, software and hardware engineers.
Ways to stand out from the crowd:
Understanding of and writing software compliant to ISO 26262 functional safety.
Knowledge of automotive systems, notably ADAS systems.
Background and strength with complex SOC, AI & GPU computing system architecture design is invaluable.
Deep understanding of SOC firmware, power management, and performance.
Experience or outstanding delivery with SOC system SW, e.g.: performance tuning and power management.
You will also be eligible for equity and benefits.
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.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.
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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.
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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.
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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.
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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.”
