Principal Software Engineer

Posted 4 Days Ago
Be an Early Applicant
3 Locations
In-Office
272K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and operationalize firmware and software architectures for next-generation NVIDIA Edge AI platforms. Define scalable platform requirements with hardware, software, ISV, and IHV partners; develop reliable, debuggable firmware, diagnostics, and deployment tools; contribute from pre-silicon design through production; make technical decisions amid ambiguity; and mentor architects and engineering teams.
Summary Generated by Built In

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.
 

NVIDIA has a rapidly expanding ecosystem of Edge AI platform designs that help bring AI to everyone everywhere. We’re searching for a highly motivated, technical leader to design, drive, and operationalize firmware and software architecture and design as well as collaborate with HW Design teams for next-generation Edge products. The ideal candidate will combine deep systems expertise, decisive technical leadership, and a passion for building reliable, debuggable, and scalable solutions.
 

What you’ll be doing:

  • Design and implement platform workflows, including firmware and software extensibility for product designs, debug and production security.

  • Collaborate with SW/FW architects, HW Designers, ISV and IHV partners to define platform requirements to create scalable and reusable designs for NVIDIA platforms.

  • Champion reliability, debuggability and optimization in firmware, diagnostic and deployment tool design.

  • Engage in pre-silicon platform design all the way through product production.

  • Mentor architects and engineering teams to grow them into future leaders.

  • Make key technical decisions even when faced with ambiguity

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience.

  • 15+ years in the area of System architecture and design

  • Deep experience in designing architecture for scalable and performant edge systems, particularly at the SW/HW interface.

  • Previous experience working with complex system software for accelerators such as GPUs, DPUs, or FPGAs

  • Proven experience in implementing left shift strategy to de-risk program execution. Excellent written and verbal communication skills.

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 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 2026.

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 degree in Computer Engineering, Computer Science, or a related field, or equivalent experience
  • 15+ years of experience in system architecture and design
  • Deep experience designing scalable and performant edge systems, particularly at the software and hardware interface
  • Experience working with complex system software for accelerators such as GPUs, DPUs, or FPGAs
  • Proven experience implementing left shift strategies to de-risk program execution
  • Excellent written and verbal 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.

  • 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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