NVIDIA is searching for highly motivated, creative engineers to join the Platform Software team. You will work with a team of hardworking software engineers working on all aspects of SOC and system, and technology verticals. As someone who is hardworking and passionate about their craft, you will design key aspects of our SOC drivers, Firmware, BIOS, 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:
Developing, triaging and debugging Pre-OS Firmware, BIOS, SoC & Platform drivers
Building sophisticated automation triage tools and, FW and OS-drivers issue packetizations
Supporting OS driver development, bring up and triaging of Platform and Multimedia drivers
Supporting the OEM ecosystem and providing innovative solutions
Drive Startup and Shutdown Time KPIs goal & optimizations
Drive end-to-end performance excellence: debug and root-cause GPU bottlenecks and issues for gaming, creator, and AI workload, validate BSP performance and stability KPIs; develop firmware/SW optimizations for Arm SoCs and unified memory; build benchmarks, automation, and telemetry tools
Supporting various ecosystems related verticals
Responsible for full product lifecycle from pre-silicon to bringup to production, in products across different business verticals: FW and OS-driver verification on Pre-Silicon (emulation, simulation) platforms, Bring-up of FW & OS-drivers on silicon, Post-Silicon SW milestones execution and launching SW product.
Be heavily involved in architecture definition and early modeling, simulation required to create our groundbreaking products
Multiple opportunities to collaborate and communicate effectively with cross-functional teams from all around the globe
What we need to see:
BS or MS degree in Computer Engineering, Computer Science, or equivalent experience with 5+ years of meaningful software development experience
Strong understanding on ARM microarchitecture as well as understanding of ARM exception levels
Strong understanding of Pre-OS Firmware, uP / subsystems Firmware and Software, peripherals
Strong systems engineer with experience across the full hardware-software SoC & GPU stack: application performance profiling and optimization, low-level firmware development, and hands-on silicon bring-up; effective collaborator across engineering levels and senior management.
Strong C/C++ and Python programming skills as well as having shown initiative in pursuing independent coding projects
Good understanding of ACPI as Device tree concepts
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)
Strong Operating systems fundamentals with Kernel , Hypervisor experience on Windows systems as well as Linux systems
Hands on experience on debuggers like GDB, WinDBG as well compilers like GCC, MSVC, LLVM etc
Good understanding of SOC architecture spanning across Boot, Security and OS
Ways to stand out from the crowd:
Background and strength with sophisticated system-level debugging is invaluable
Hands-on expertise across GPU SW stack, LLM training and inference, and Arm architecture performance — on both native and emulated execution environments.
Familiarity with system level security concepts
Experience with embedded system SW concepts.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.
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.
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.Skills Required
- BS or MS degree in Computer Engineering, Computer Science, or equivalent
- 5+ years of software development experience
- Strong understanding on ARM microarchitecture
- Strong C/C++ and Python programming skills
- Good understanding of ACPI and Device tree
- Strong Operating systems fundamentals with Kernel, Hypervisor experience on Windows and Linux
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.”
