NVIDIA’s impact on computer graphics, personal computer gaming, and high-performance computing has been evolving for over 25 years. It’s a distinctive heritage of innovation that’s motivated by great technology—and remarkable people. Currently, we’re harnessing the boundless possibilities of AI to build the next era of computing. An era where our GPU functions as the intelligence behind computers, robots, and autonomous vehicles that perceive the world. Creating what’s never existed calls for creativity, inventiveness, and the world’s leading talent. As an NVIDIAN, you’ll be part of a varied, encouraging workplace that encourages everyone to perform at their highest level. Join the team and discover how you can build 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:
Own the end-to-end software integration strategy for products across firmware, BSP, drivers, GPU software, services, test and release systems.
Lead system-level debugging of boot failures, hangs, crashes, unexpected resets, power-transition failures, performance regressions, update failures, and firmware/driver interactions.
Use crash dumps, event logs, traces, UART output, firmware logs, telemetry, and hardware diagnostics to isolate failures across system layers.
Build automated failure classification that distinguishes product defects from infrastructure, configuration, device, test-harness, and flaky-test failures.
Drive root-cause analysis and corrective actions for escaped defects, integration failures, and recurring infrastructure problems.
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 flawless cross-component integration.
What we need to see:
BS or MS degree in Computer Engineering, Computer Science, or equivalent experience, with 12+ 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.
Solid understanding 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.
Experience products integration and deliverables E2E
Familiarity with system-level security concepts
Experience with embedded system SW concepts.
You will also be eligible for equity and benefits.
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
- Bachelor’s or master’s degree in Computer Engineering, Computer Science, or equivalent experience
- 12+ years of relevant software development experience
- Strong understanding of ARM microarchitecture and exception levels
- Experience with SoC architecture, including boot, security, power, and OS bring-up
- Understanding of ACPI and Device Tree concepts
- Proficiency in C or C++
- Proficiency in Python for automation and validation tooling
- Understanding of kernel and hypervisor internals on Windows and Linux
- Experience integrating drivers and firmware and debugging kernel components, especially on Windows
- Experience solving problems within large, complex systems deployed at scale
- Sophisticated system-level debugging experience
- Experience with system-level reliability and resiliency features
- Experience with end-to-end product integration and deliverables
- Familiarity with system-level security concepts
- Experience with embedded system software concepts
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.
NVIDIA Insights
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.”
