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 @ 4
Communication @ 6
Customer Support @ 4
Debugging @ 3
GPU @ 4
Linux @ 6
Python @ 7
Security @ 4
Software Development @ 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 is powering the next generation of AI computing, and its firmware team helps turn groundbreaking technology into production datacenters. This role focuses on bringing NVIDIA platforms to life, from initial system bring-up and reference platform qualification through deployment at scale. The position works at the intersection of firmware engineering, platform architecture, and customer enablement, using AI tools to accelerate development, solve complex system problems, and improve platform reliability.
Responsibilities
- Develop, integrate, and debug SBIOS firmware for NVIDIA datacenter reference platforms and customer systems.
- Help customers, OEMs, and ODMs bring up, qualify, and deploy NVIDIA platforms by resolving firmware issues, guiding platform integration, and translating deployment requirements into engineering improvements.
- Support reference platforms across the product lifecycle, establish validated firmware configurations, document platform behavior, and create solutions reusable across customer designs.
- Investigate complex issues across firmware, hardware, BMC, and operating system boundaries, including boot, hardware initialization, PCIe enumeration, memory configuration, performance, and reliability.
- Partner with hardware, firmware, software, validation, and customer engineering teams to drive issues from reproduction and root cause analysis through verified fixes and customer adoption.
- Use AI-assisted development, debugging, and automation to analyze logs, accelerate root cause investigation, improve test coverage, and turn recurring support problems into scalable engineering solutions.
- Develop diagnostic tools, automated tests, and technical guidance that improve platform readiness and help customers deploy and operate systems successfully.
- Communicate technical findings, risks, and resolution plans clearly to internal teams and external partners.
Requirements
- Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience, with 5+ years of relevant experience.
- Strong experience developing and debugging System BIOS/UEFI firmware on ARM or x86 server platforms, including familiarity with EDK II architecture.
- Solid understanding of server architecture, including processor initialization, memory systems, PCIe, interrupts, boot flows, and interactions among SBIOS, BMC, and the operating system.
- Ability to diagnose complex system issues using firmware logs, operating system diagnostics, hardware interfaces, and structured experiments.
- Experience supporting server bring-up, platform qualification, or customer deployment, with ownership of technical issues through resolution.
- Strong C programming skills and experience using Python or shell scripting to build diagnostic tools and automate engineering workflows.
- Hands-on experience applying AI tools to software development, debugging, testing, or technical analysis, with the engineering judgment to independently verify generated code and conclusions.
- Understanding of server reliability, availability, and serviceability (RAS), firmware security, and production datacenter requirements.
- Excellent written and verbal communication skills, with the ability to collaborate directly with customers and partners and drive progress across global engineering teams.
Preferred Qualifications
- Proven experience enabling customer deployments of NVIDIA CPU or GPU server platforms, from early bring-up through production.
- Deep expertise in ARM server architecture, UEFI, ACPI, SMBIOS, or firmware interfaces with Linux.
- Experience debugging issues spanning SBIOS, BMC, and platform management interfaces such as IPMI, MCTP, and PLDM.
- Experience building AI-assisted engineering workflows that improve debugging speed, software quality, or customer support efficiency.
- Experience turning reference platform designs and customer deployment lessons into reusable tools, documentation, and validation coverage.
Benefits
The base salary range is 152,000 USD to 241,500 USD for Level 3, and 184,000 USD to 287,500 USD for Level 4. Base salary is determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.
Applications will be accepted at least until October 30, 2026. NVIDIA is an equal opportunity employer committed to an inclusive work environment.