Job description

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. Are you ready to join a dedicated team at the forefront of GPU & SOC technology? NVIDIA is looking for a Senior GPU Platforms Engineer to be part of our innovative and ambitious group. This is an outstanding opportunity to work on groundbreaking GPU & SOC systems and platform software, driving the next era of accelerated computing! What you'll be doing: • System Software Generalist: You will take ownership for platform software including kernel device driver development, firmware / BIOS interactions, health monitoring, system-level features on new GPU / SOC platforms and products. Looking for proactive, knowledgeable engineers open to switch between various critical products / projects / modules and deliver results. • Observability stack expert: Design and develop high-performance, distributed observability platforms handling high-volume data (metrics, logs, traces etc), real time monitoring, logging and alerting across diverse products having diverse environments and develop backend pipeline, analytics platform with a focus on performance at scale. • Full stack software engineer: Develop productions applications, solutions and features for NVIDIA SOC products. • Partnering with software, driver, and product / data center/Cloud units, you will launch new GPU platforms, resolve sophisticated system challenges, and improve performance, features and stability across configurations. • Engage actively in code reviews and contribute to substantial production codebases using solid C/C++ and data pipeline, business intelligence skills. • Understand how AI workloads map onto NVIDIA architectures (streaming multiprocessors, Tensor Cores, memory hierarchy, NVLink , PCIe, MIG, etc.), and how these architectural features impact latency, throughput, and cost. • Develop and sustain an in-depth knowledge of OS and system software, concentrating on Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling. • Apply your expertise in Operating Systems, Computer architecture to manage CPU–GPU interactions, PCIe, memory hierarchy, interrupts, and firmware/bootloaders. What we need to see: • BS/MS/PhD (or equivalent experience) in Computer Science or a related degree, along with multiple years of experience in systems, platform, embedded, or GPU software roles. • At least 10 years of experience in developing SOC systems and platform software. • System Software Generalist: Strong hands-on experience developing system software, covering Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling. • Observability Expertise: Hands-on experience with building modern observability architectures, (including metrics, logs, and traces), distributed systems design and modern business intelligence and analytics stack. • Strong Full-Stack Fluency: Proficiency in high-performance, secure, production software stack, backend systems programming. • A solid understanding of Advance Operating Systems, Advance Database, Computer Architecture and Distributed systems. • AI / ML Fluency: Experience developing AI/ML applications, integrating with various features and applications. • Proven record of designing scalable, secure solutions for products. Ways to stand out from the crowd: • Experience programming and debugging skills for SOC platforms with experience on various devices, across x86 & ARM system architecture. • In depth knowledge on Linux and / or Windows OS, Networking, virtualization. • Demonstrated proficiency in C/C++ along with strong coding abilities, having worked on extensive production codebases and conducted code reviews. Join us at NVIDIA, where your work will have a lasting impact on the world! 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 5, 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

Full stack software engineer: Develop productions applications, solutions and features for NVIDIA SOC products.
Partnering with software, driver, and product / data center/Cloud units, you will launch new GPU platforms, resolve sophisticated system challenges, and improve performance, features and stability across configurations.
Engage actively in code reviews and contribute to substantial production codebases using solid C/C++ and data pipeline, business intelligence skills.
Understand how AI workloads map onto NVIDIA architectures (streaming multiprocessors, Tensor Cores, memory hierarchy, NVLink , PCIe, MIG, etc.), and how these architectural features impact latency, throughput, and cost.
Develop and sustain an in-depth knowledge of OS and system software, concentrating on Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling.
Apply your expertise in Operating Systems, Computer architecture to manage CPU–GPU interactions, PCIe, memory hierarchy, interrupts, and firmware/bootloaders.
BS/MS/PhD (or equivalent experience) in Computer Science or a related degree, along with multiple years of experience in systems, platform, embedded, or GPU software roles.
At least 10 years of experience in developing SOC systems and platform software.
System Software Generalist: Strong hands-on experience developing system software, covering Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling.
Observability Expertise: Hands-on experience with building modern observability architectures, (including metrics, logs, and traces), distributed systems design and modern business intelligence and analytics stack.
Strong Full-Stack Fluency: Proficiency in high-performance, secure, production software stack, backend systems programming.
A solid understanding of Advance Operating Systems, Advance Database, Computer Architecture and Distributed systems.
AI / ML Fluency: Experience developing AI/ML applications, integrating with various features and applications.
Proven record of designing scalable, secure solutions for products.
Experience programming and debugging skills for SOC platforms with experience on various devices, across x86 & ARM system architecture.
In depth knowledge on Linux and / or Windows OS, Networking, virtualization.
Demonstrated proficiency in C/C++ along with strong coding abilities, having worked on extensive production codebases and conducted code reviews.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 5, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

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

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aiml

Platform: eightfold
Effort: medium

Benefits

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