Used Tools & Technologies
Not specified
Required 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.
Software Development @ 4
Linux @ 4
Python @ 7
CI/CD @ 3
Communication @ 4
Android @ 4
Debugging @ 3
QA @ 4
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. Today NVIDIA is tapping into the potential of AI to define the next era of computing. The Tegra Tools team builds software tools that assist in flashing and provisioning NVIDIA chips and platforms across Automotive, Embedded, and Data Center products.
Responsibilities
- Construct, optimize, and direct software tools and infrastructure for flashing and provisioning NVIDIA chips and platforms across Automotive, Embedded, and Data Center products.
- Coordinate the full tools lifecycle, from pre-silicon software development through silicon bring-up and post-silicon validation connected to flash and provisioning workflows.
- Develop and maintain host and target software tools for flashing and provisioning workflows, assisting both internal NVIDIA teams and external partners working with NVIDIA platforms.
- Collaborate with hardware build, architecture, firmware, software, and QA teams to define and deliver tooling requirements across the product lifecycle.
Requirements
- BS or MS degree in Computer Engineering, Computer Science, or a related field, or equivalent experience.
- 5+ years of relevant software development experience.
- Strong C/C++ and Python programming skills, with experience shipping production-quality tools.
- Solid understanding of software engineering principles and object-oriented programming.
- Solid knowledge of computer architecture, low-level interfaces, and host-device communication protocols such as USB, UART, SPI, PCIe, and JTAG.
- Solid comprehension of the SoC boot sequence (ROM, bootloader phases, kernel initialization) and ability to troubleshoot boot failures at multiple points.
- Strong problem-solving and debugging skills, including familiarity with tools like GDB and JTAG debuggers.
Ways to stand out from the crowd
- Proficient with redefining legacy workflows into agentic.
- Kernel or driver experience on Linux, Android, or Windows platforms.
- Experience developing bare-metal firmware or device drivers on embedded or SoC platforms.
- Familiarity with test automation frameworks and CI/CD pipelines for hardware-in-the-loop testing.
- Experience building internal tooling with frontend components (web dashboards, GUIs, or visualization layers for flash status and workflows).
Compensation & Benefits
- Base salary ranges (determined by location, experience, and pay of employees in similar positions):
- Level 3: 152,000 USD - 241,500 USD
- Level 4: 184,000 USD - 287,500 USD
- Eligible for equity and benefits. See www.nvidiabenefits.com for NVIDIA benefits information.
Additional information
- Applications for this job will be accepted at least until May 4, 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 a diverse work environment.