Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 5
Agentic AI @ 5
Performance Analysis
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is developing the next generation of computing systems for AI, self-driving cars, and other accelerated computing applications. As a Tegra System Software Engineer, you will contribute to systems and software powering NVIDIA's Tegra platforms.
Responsibilities
- Design, develop, and maintain system software for ARM's Trusted Firmware Stack, including Hafnium, TF-A, and RMM.
- Work with next-generation CPU architectures for the Tegra platform.
- Collaborate with the upstream community to develop software for ARM technologies such as Confidential Compute.
- Help drive improvements to specifications including PSCI, FFA, and RMI.
- Solve complex power, performance, and security issues in the Trusted Firmware Stack.
- Participate in architectural explorations, including feasibility studies, safety evaluations, and CPU performance analysis.
- Perform development and bring-up activities for next-generation Tegra SoC hardware and systems.
- Develop highly performant low-level device drivers for NVIDIA Tegra platforms.
- Review architecture documents and take designs from specification through productization.
Requirements
- Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- At least 2 years of hands-on experience with embedded systems and device driver development.
- Strong proficiency in C and C++ programming.
- Deep understanding of operating system fundamentals and computer architecture concepts, including MMU, cache coherency, TLBs, timers, and interrupt service routines (ISRs).
- Knowledge of ARM trusted components, bootloaders, hypervisors, or UEFI is a plus.
- Knowledge of safety and security standards such as ISO 26262, CERT C, and MISRA C is a plus.
- Outstanding problem-solving skills and a track record of delivering high-quality software solutions.
- Proficiency in using agentic AI tools to produce high-quality and performant systems.
Compensation And Benefits
- Base salary range for Level 2: USD 124,000–195,500 per year.
- Base salary range for Level 3: USD 152,000–241,500 per year.
- Eligible employees may also receive equity and benefits.
- NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until August 22, 2026.
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