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高级系统固件工程师 - SOC与GPU

雇主

NVIDIA

地点

远程 · Santa Clara · 美国

待遇

$面议

工作模式

远程

截止日期

1月10日

福利
Equity,Benefits

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岗位摘要

Senior System Firmware Engineer to define firmware architecture for NVIDIA's SOC and GPU products, l

岗位职责

For a quarter century and beyond,
NVIDIA has driven innovation in computer graphics, PC gaming, and accelerated computing.
It’s a unique legacy of innovation that’s driven by outstanding technology—and exceptional 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.
Join our team and discover how you can develop a lasting impact on the world.
What you'll be doing:
• Collaborate with Hardware, Software, and System Architecture teams to define end-to-end solutions.
• Define the firmware architecture for new products and features at the core of NVIDIA's SOC and GPU firmware and software.
• Lead the development and implementation of strategic technologies, including functional safety, security, and next-generation system-on-chip and graphics processing unit capabilities.
• Drive technical direction across multiple teams while ensuring scalable, maintainable, and high-quality firmware architecture.
• We are close knit, diverse group, with experience across a range of technologies, with emphasis on the semiconductor industry.
Our team members are all integral parts of the team, sharing in our successes and challenges.
What we need to see:
• Understanding of Windows Kernel-mode Drivers and Device Firmware
• Track record of success in solving complex problems with C, C, or related languages.
• Experience with virtual memory management, interrupt handling, and other low-level system software functionality.
• Collaborative demeanor with ability to consider new insights and alternative solutions to sophisticated problems!
• Proven track record in firmware and/or software engineering
• Excellent communicator and a team-player mentality
• BS or a higher degree in Computer Science or Computer Engineering or equivalent experience
• 8 years of relevant software experience Ways to stand out from the crowd:
• Experience with system and chip bring up
• Background with virtualization technologies and containers
• Graphics programming knowledge (not required, but advantageous)
NVIDIA is widely considered to be one of the technology world’s most desirable employers.
We have some of the most brilliant and hardworking people on the planet working for us.
If you're creative and autonomous, we want to hear from you!
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 September 26, 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.

申请条件

Understanding of Windows Kernel-mode Drivers and Device Firmware.
Track record of success in solving complex problems with C, C++, or related languages.
Experience with virtual memory management, interrupt handling, and other low-level system software functionality.

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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