Do you enjoy hacking and tinkering at the lowest levels of software? Are you capable of crafting and implementing creative secure solutions in heavily resource-constrained environments? If so, you’re primed to join our team in developing the tools and infrastructure that support the software and firmware that boot the world’s best GPUs.
We are searching for an outstanding software engineer to fill a challenging, yet fun role on our GPU Firmware team. You will be joining a team whose primary mission is designing and implementing world-class automation, tools, and practices to improve, unlock and accelerate the innovations of firmware that defines the cutting edge of GPU technology. In the world of firmware, where tight requirements of security, boot-time, storage space act as constraints to all solutions: Every. Byte. Counts. This is your chance to create waves in the industry while directly working with and alongside some of the most top-valued diverse set of minds in the business. Your goal will be to shape the future of GPU technologies doing exactly what you enjoy: solving puzzles. If this sounds exciting and you’re up for the task, we’d certainly like to hear from you!
What you’ll be doing:
Improve team software process and core infrastructure by enhancing and designing tooling, build systems, and regression farms
Design, develop, test, debug, and optimize creative solutions for GPU firmware throughout the entire GPU lifecycle
Work closely with hardware, software, infrastructure, and business teams to transform new infrastructure features from idea to reality
Work with leading OS and PC vendors to improve and innovate on the startup experience
Create, document, and automate workflows, processes, and tooling for internal-facing and external-facing team projects
What we need to see:
BS or MS degree in EE/CS/CE (or equivalent experience)
4+ yrs experience
Automation experience with modern CI/CD tools
Sturdy technical background in cloud/distributed infrastructure
In depth understanding of database concepts and object modeling.
Strong grasp of software development lifecycle and coding practices
Strong Python, C, and scripting skills
Even stronger interpersonal skills
Sense of humor highly encouraged, but not required
Easy to work with, as you’ll constantly be engaged with both hardware designers and other software engineers to design, develop, and debug functional (and non-functional!) aspects of GPU subsystems and infrastructure
Ways to stand out from the crowd:
Experience with static/dynamic code analysis, tooling, and build automation
Experience in developing device BIOS, firmware, or other low-level software
Familiarity with SQL language and one or more SQL database ecosystems
Experience with secure development techniques such as threat models, attack-trees, static/dynamic analysis, fuzzing, and negative testing
Passion for optimizing and unlocking the potential of yourself and others through your work
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
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 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 or MS degree in EE/CS/CE or equivalent experience
- 4+ years experience
- Automation experience with modern CI/CD tools
- Strong Python, C, and scripting skills
- In depth understanding of database concepts and object modeling
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.”
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