Used Tools & Technologies
Machine LearningRequired Skills & Competences
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.
Security @ 4
Python @ 7
Spark @ 4
Algorithms @ 4
Communication @ 4
Rust @ 4
Debugging @ 7
AI @ 4
- 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Role overview
NVIDIA is looking for Senior System Software Engineers to join the Tegra system software group. The ideal candidate excels in autonomous workflows in firmware development and demonstrates strong proficiency in embedded C and Python scripting. A deep understanding of operating systems, kernel programming, and hardware architecture is required. You will partner with hardware and software teams to invent, develop, and debug the Tegra system software stack, aiding devices from early modeling and simulation to deployment for customers.
Responsibilities
- Build, develop, and validate Tegra Boot and Security firmware across Automotive, Embedded, and Data Center platforms.
- Participate in the full silicon lifecycle, from pre-silicon simulation/emulation to silicon power-on.
- Identify, debug, and resolve issues within the Tegra Boot Firmware stack.
- Collaborate with architecture, software, and hardware teams to advance NVIDIA’s next-generation SoCs.
Requirements
- Bachelor’s or Master’s in Electrical Engineering, Computer Science, Computer Engineering, or equivalent experience.
- 3+ years of proven experience.
- Proficiency in bare-metal firmware and device driver development, especially ARM/RISC-V.
- Strong understanding of applied cryptography, secure boot, and embedded systems.
- Proficiency in C and Python; strong debugging abilities.
- Defensive security programming skills.
- Excellent verbal and written communication.
- Experience with AI-enabled workflows.
Ways to stand out
- Familiarity with boot process intricacies on advanced SoCs.
- Experience with automotive safety/security standards (ISO26262, ASPICE, ISO21434).
- Exposure to Ada/SPARK or Rust programming, and formal software verification.
- Knowledge of cryptographic algorithms (ECDSA, RSA, ML-DSA, AES).
- Experience with IO interfaces (UART, SPI, USB, PCIe).
Compensation and benefits
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. For more on benefits see: www.nvidiabenefits.com and https://www.nvidia.com/en-us/benefits/.
Additional information
- Applications for this job will be accepted at least until June 13, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.