NVIDIA BSP software team is looking for a highly motivated, dynamic BSP experts, with strong experience in embedded systems who are passionate about solving complex problems spanning across the stack and have expertise on SOC architecture, have decent knowledge of EC, UEFI and related components.
We are looking for self-driven, energetic engineers who are not bounded to specific domain and have sharp problem-solving skills and ability to learn quickly and effectively contribute.
What you will be doing:
- Identify and Solve product level problems across SOC products.
- Bring-up new SOC and GPU architecture.
- Collaborate with OEM partners to ensure seamless BSP integration with their platforms.
- Design, develop, and maintain BSP components, including bootloaders, device drivers, and kernel.
- Work closely with hardware and software teams to develop new solutions.
- Stay updated with the latest industry trends and technologies related to BSP and embedded systems.
What we need to see:
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field and 5+ years of experience.
- In-depth expertise in BSP development for SoC platforms.
- Experience with various SoC platforms such as ARM, x86, or RISC-V.
- Proven experience in designing operating system agnostic BSPs.
- Strong knowledge of embedded systems, device drivers, and kernel development.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Ability to work independently and as part of a team.
Ways to stand out from the crowd:
- Familiarity with AI tools to solve complex problems.
- Experience with developing UEFI and EC features.
- Lead SOC development end-to-end for specific domain.
NVIDIA is widely considered to be one of world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and passionate about new technology, then we would like to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field
- 5+ years of professional experience
- In-depth expertise in BSP development for SoC platforms
- Experience with ARM, x86, or RISC-V SoC platforms
- Experience designing operating-system-agnostic BSPs
- Strong knowledge of embedded systems, device drivers, and kernel development
- Experience developing UEFI and EC features
- Experience leading SoC development end-to-end for a specific domain
- Familiarity with AI tools for solving complex problems
- Strong problem-solving, communication, collaboration, and independent-work 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.
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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.”
