NVIDIA Logo

NVIDIA

Senior System Software Engineer - CPU SoC Boot Firmware

Posted One Month Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
Design, implement and verify boot firmware for flagship CPU SoCs. Define and decompose functional and safety requirements, perform FMEA/DFA, validate on pre-silicon simulation, support silicon bring-up and productization, and collaborate across teams to meet safety and security standards.
The summary above was generated by AI

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.

Applications for this job will be accepted at least until August 4, 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

One Month Ago
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and verify CPU SoC boot firmware for pre- and post-silicon platforms. Define and decompose functional and safety requirements, perform failure analysis (FMEA/DFA), implement secure boot features, collaborate across teams, and support silicon validation and productization.
Top Skills: ArmBare Metal ProgrammingBootloaderCCodex (Ai Tools)DfaFmeaLinux KernelPre-Silicon SimulationPythonSilicon Verification
2 Hours Ago
Remote or Hybrid
United States
150K-220K Annually
Junior
150K-220K Annually
Junior
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Leads IT product strategy and delivery using data-driven analysis and business acumen. Oversees complex project lifecycles, aligns technical teams with business stakeholders, manages budgets and timelines, and ensures quality delivery. Coaches and mentors Product Managers, prioritizes initiatives, delegates work, and drives cross-functional alignment across product development and implementation.
Top Skills: AgileConfluenceJIRAKibanaAzurePostmanRest ApiSaaSSalesforceSoap ApiSQLSwaggerUi/Ux DesignVisio
2 Hours Ago
Remote or Hybrid
US
120K-175K Annually
Senior level
120K-175K Annually
Senior level
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead UX design strategy for complex, high-volume B2B insurance workflows. Responsibilities include user research, information architecture, interaction and visual design, design systems, facilitation, storytelling, implementation planning, stakeholder alignment, and mentoring. The role shapes product vision across multiple teams and ensures scalable, accessible, consistent user experiences with measurable business and user impact.
Top Skills: FigmaMiro

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account