NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are now actively looking for energetic, enthusiastic and technologically savvy engineers to join the Chips System Software team. Here we architect and develop the boot firmware for the flagship CPUs which are the core components for high-compute platforms for automotive, datacenter and other critical applications. The best candidates will have excellent C and Python programming skills, a thorough understanding of operating systems and kernel programming, a good understanding of hardware architecture, and excellent communication and planning skills. The candidate will also have good understanding of automotive functionality safety and security standards and their application in semiconductor projects.
What You'll be Doing:
As a member of the Chips System firmware team, you will build robust features for core boot firmware established by protective and security guidelines.
Definition, decomposition and verification of functional/safety requirements and architecture.
Perform failure analysis (FMEA/DFA) on Bootloader functionality and architecture.
We take pride in our software family of engineers, so collaboration is the key(!) in developing partnerships with members internal and external to your team.
Validate and verify features on pre-silicon simulation platforms prior to tapeout.
Silicon verification, features development followed by post Silicon support and productization.
What We Need to See:
BS or MS degree in EE/CS/CE or equivalent experience
5+ years of relevant proven experience
Experience in embedded software development, specifically in areas of ARM technologies and programming is invaluable and on bare metal an additional plus.
Strong proficiency in C and Python programming and debugging skills
A strong desire to continuously improve processes and tools for a productivity at speed of light through AI tools.
Detailed and extensive experience with Linux kernel software is required
Experience in embedded software development and verification process, with bootloaders experience a plus.
Excellent Interpersonal Skills
Ways to stand out from the crowd:
Demonstrate your passion for building new technologies
Working experience with AI tools such as Codex, creating agentic AI tools
Proficiency creating skills with continuos refinement.
Out of the box thinking !
Articulate your thoughts succinctly
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.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 an inclusive 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 or MS in EE/CS/CE or equivalent experience
- 5+ years of relevant proven experience
- Experience in embedded software development (ARM technologies, bare metal)
- Strong proficiency in C programming and debugging
- Strong proficiency in Python programming and debugging
- Detailed and extensive experience with Linux kernel software
- Experience in embedded software verification processes (pre-silicon validation, silicon verification)
- Good understanding of automotive functional safety and security standards as applied to semiconductor projects
- Experience with bootloaders
- Excellent interpersonal and communication 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.
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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.
NVIDIA Insights
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.”
