Job description

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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 21, 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.

Requirements

Must-haves

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.
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.
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 .
Applications for this job will be accepted at least until September 21, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdpython

Platform: eightfold
Effort: medium