Senior Software Integration and Debug Engineer

Reposted Yesterday
Be an Early Applicant
3 Locations
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop automated CI/CD and debugging tools, integrate OEM software, and collaborate across teams to ensure platform readiness and stability.
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. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is searching for highly motivated, creative engineers to join the Platform Software team. You will work with a team of hardworking software engineers across all aspects of SOC, systems, and technology verticals. As someone who is hardworking and passionate about their craft, you will design key aspects of our SOC drivers, BSP, sophisticated CI/CD system, as well as collaborating with key partners and OEM customers. You should demonstrate the ability to excel in an environment with fast pace and agility.

What you'll be doing:

  • Develop automated CI/CD, BSP integration, and triage tools to accelerate issue detection, isolation, and regression tracking.

  • Perform system bring-up, enable debug paths, and ensure platform integration readiness for NVIDIA reference and OEM partners.

  • Integrate OEM and partner software into the NVIDIA software stack to ensure compliance, stability, and power/performance benchmarks for production platforms.

  • Work closely with multi-functional teams to prioritize issues across all BSP components—firmware, drivers, kernel, and hardware layers.

  • Collaborate with architecture, silicon, firmware, and OS engineering teams to enable new features and ensure seamless cross-component integration.

What we need to see:

  • BS or MS degree in Computer Engineering, Computer Science, or equivalent experience, with 5+ years of relevant software development experience.

  • Strong understanding of ARM microarchitecture and exception levels, with an emphasis on integration, triage, and debugging.

  • Understanding of SoC architecture spanning Boot, Security, Power, and OS bring-up. Good understanding of ACPI and Device Tree concepts.

  • Proficiency in C/C++ and Python for automation and validation tooling.

  • Strong knowledge of Kernel and Hypervisor internals on both Windows and Linux systems.

  • Experience integrating drivers/firmware and debugging kernel components, with a specific focus on Windows. Background in solving problems within large, complex systems deployed at scale.

Ways to stand out from the crowd:

  • Background and strength with sophisticated system-level debugging is invaluable

  • Experience working on system-level reliability and resiliency features.

  • Familiarity with system-level security concepts

  • Experience with embedded system SW concepts.

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 February 1, 2026.

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.

Top Skills

Arm Microarchitecture
C/C++
Ci/Cd
Linux
Python
Soc Architecture
Windows
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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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