Skip to content

Formal Verification Engineer – Firmware

US, CA, Santa Clara; US, TX, Austin; US, CA, Remote
Full Time Remote

Summary

Job Description

We are now seeking a Formal Verification Engineer, focusing on the firmware verification! In this role, you will be instrumental in ensuring the correctness, security, and reliability of our low-level software that drives the next generation of computing performance. This position is ideal for an individual passionate about applying advanced formal methods to solve complex firmware verification and hardware-firmware co-verification challenges at scale.

As a Formal Verification Engineer, your primary responsibility will be to use formal methods to prove the correctness and safety properties of critical firmware components. You will work closely with firmware architects, software developers, and hardware design teams to define specifications and ensure the firmware adheres to them across various operational states.

What you'll be doing:

  • Develop high-level, mathematically precise models and specifications for complex firmware behaviors (e.g., security protocols, memory management, boot sequencing) using formal specification

  • Apply various formal verification techniques, including Model Checking, Theorem Proving, and Equivalence Checking, to verify firmware correctness.

  • Focus on the interface between hardware and firmware, formally verifying critical handshakes, register accesses, and control flows.

  • Develop abstract models of hardware components (e.g., MMIO registers, state machines) required for firmware verification.

  • Analyze counterexamples generated by formal tools to identify root causes of design/firmware flaws.

  • Research, evaluate, and integrate new formal verification methodologies, tools, and algorithms to improve efficiency and coverage.

What we need to see:

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field or equivalent experience (Ph.D. is a plus).

  • 3+ years of relevant experience in formal verification of hardware, software, or embedded systems.

  • Good understanding of the principles of Model Checking and/or Theorem Proving.

  • Strong proficiency in C/C++ (for firmware analysis) and scripting languages (e.g., Python, Perl).

  • Direct experience verifying critical firmware components such as Boot ROM/BIOS, Security Enclaves, Power Management, or Interrupt Controllers.

  • Experience with specialized techniques like Abstract Interpretation, SAT/SMT Solvers, or employing formal approaches in security-critical code.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until December 26, 2025.

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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

Go to company profile