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.
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, master’s, or doctoral degree in Computer Science or a related field, or equivalent experience
- At least 10 years of experience developing SOC systems and platform software
- Multiple years of experience in systems, platform, embedded, or GPU software roles
- Hands-on experience with Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling
- Hands-on experience building observability architectures involving metrics, logs, traces, distributed systems, and analytics stacks
- Proficiency in high-performance, secure production software and backend systems programming
- Understanding of advanced operating systems, databases, computer architecture, and distributed systems
- Experience developing AI/ML applications and integrating AI/ML features
- Proven record designing scalable and secure product solutions
- Experience programming and debugging SOC platforms across x86 and ARM architectures
- In-depth knowledge of Linux or Windows operating systems, networking, and virtualization
- Demonstrated proficiency in C/C++, extensive production codebases, and code reviews
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.”
