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 and triaging platform drivers which goes into SOCs
- 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
- Supporting various ecosystems related verticals
- 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 12+ 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
- Background in solving problems that apply to large complex systems deployed at scale.
- 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 issues (across SoC FW/SW, Platform FW, Windows/Linux OS drivers) debugging is invaluable
- Experience working on system level reliability and resiliency features.
- 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 other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.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
- BS or MS degree in Computer Engineering, Computer Science, or equivalent experience
- 12+ years of meaningful software development experience
- Strong understanding of ARM microarchitecture and ARM exception levels
- Strong understanding of pre-OS firmware, microprocessor or subsystem firmware and software, and peripherals
- Experience solving problems involving large, complex systems deployed at scale
- Strong C, C++, and Python programming skills
- Understanding of ACPI and device tree concepts
- Familiarity with computer system architecture, microprocessors, microcontrollers, caches, buses, memory controllers, and DMA
- Strong operating systems fundamentals and kernel or hypervisor experience on Windows and Linux
- Hands-on experience with GDB, WinDBG, GCC, MSVC, or LLVM
- Understanding of SoC architecture spanning boot, security, and operating systems
- Experience debugging system-level issues across SoC firmware/software, platform firmware, and Windows/Linux OS drivers
- Experience with system-level reliability and resiliency features
- 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 — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
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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.”
