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高级固件工程师 - LPU

雇主

NVIDIA

地点

Santa Clara · 美国

待遇

$面议

工作模式

混合

截止日期

1月10日

福利
benefits package, we are widely considered to be one of the technology world’s m

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岗位摘要

Senior Firmware Engineer developing low-level firmware for NVIDIA's AI-accelerator hardware, collabo

岗位职责

Join
NVIDIA as a Senior Firmware Engineer and be part of something truly outstanding!
In this role, you'll collaborate with a world-class team at the forefront of AI and accelerated computing technology!
In this role you'll drive the development of low-level firmware powering NVIDIA’s AI-accelerator hardware.
This is an opportunity to influence key technical decisions, shape system behavior, and deliver high-quality firmware for cutting-edge platforms.
What You'll Be Doing:
• Design, implement, and maintain firmware across the product stack (bootloader, drivers, RTOS, and system services).
• Develop firmware specifications and define clear interface behaviors across system components.
• Profile, optimize, and validate latency-critical code paths to ensure strong performance and reliability.
• Collaborate with hardware, silicon, system software, and AI teams to define interfaces and support system integration.
• Debug and resolve complex system-level issues involving firmware and hardware interactions.
• Contribute to system bring-up, validation, and continuous improvements in firmware quality and robustness.
What We Need to See:
• B.S. in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience.
• 8
years of professional firmware development experience on complex SoC/ASIC platforms.
• Strong proficiency in C/C
(C11 or later), with solid understanding of low-level hardware interaction and system programming.
• Experience with real-time operating systems (FreeRTOS, Zephyr, VxWorks, ThreadX) and/or bare-metal firmware.
• Hands-on experience with high-speed interfaces (PCIe Gen3/4/5, DDR4/5, SerDes, Ethernet) and common peripheral buses (SPI, I²C, UART, CAN).
• Strong debugging and problem-solving skills across hardware/software boundaries.
Ways to Stand Out from the Crowd:
• Experience with firmware for
AI/ML hardware or datacenter-scale systems.
• Proven ability to deliver high-quality firmware in complex, cross-functional environments.
• Experience with system bring-up, validation, and performance tuning.
• Familiarity with firmware testing frameworks and automation.
• Ability to navigate ambiguity and drive effective technical solutions.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers.
We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing.
Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology?
If so, we want to hear from you.
#LI-Hybrid 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 6, 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

B.S.
in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience.
8+ years of professional firmware development experience on complex SoC/ASIC platforms.

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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