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
Communication @ 7
Debugging @ 4
Deep Learning @ 7
GPU @ 7
Linux @ 4
NVLink @ 4
Python @ 7
Security
- 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's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning, with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as "The AI Computing Company."
NVIDIA HGX, MGX, and DGX systems deliver leading solutions for enterprise AI infrastructure at scale. These systems enable researchers and scientists to combine simulation, data analytics, and AI on powerful end-to-end AI supercomputing platforms.
Responsibilities
- Own the bring-up of new platforms in the factory across every level: board, tray, rack, and cluster. Serve as the software owner from first power-on, working alongside hardware, firmware, diagnostics, and test engineering teams.
- Design factory flows for firmware flashing across BMC, HMC, SBIOS, VBIOS, NIC, and other components, including version validation, security provisioning, and power-cycle recovery and retry handling. Optimize for high first-pass yield at scale.
- Take tools into partner factories and work with ODMs, CMs, OEMs, and CSPs to define requirements, integrate NVIDIA tools into their infrastructure, and validate them.
- Use AI coding agents to accelerate development, testing, code review, log triage, and bug filing. Identify additional applications and build reliable supporting pipelines.
- Diagnose and resolve station failures by tracing issues across hardware and software stacks to identify and fix root causes.
Requirements
- 10+ years of experience in data center firmware, platform software, or factory/manufacturing test software, with a BS, MS, or PhD in electrical engineering, computer science, or a related field, or equivalent experience.
- Proven experience building factory or data center automation, including firmware flashing, diagnostics orchestration, provisioning, log collection, or out-of-band management for large-scale server deployments.
- Strong Python skills for building production tools and orchestration frameworks.
- Working knowledge of C/C++, shell, and Linux systems.
- Solid knowledge of hardware interfaces, including PCIe, USB, and SMBus/I2C, as well as experience debugging servers during early bring-up.
- Experience working directly with ODMs, CMs, or CSPs during new product introduction, bring-up, and volume production.
- Strong communication and collaboration skills, with the ability to work through ambiguity, own problems end to end, and collaborate across time zones.
Preferred Qualifications
- Experience with rack-scale or multi-node GPU systems, including NVLink switch trays, rack-level diagnostics, and compute or switch tray bring-up.
- Familiarity with manufacturing diagnostic frameworks and factory test stations.
- Experience designing resilient factory flows that improve first-pass yield and reduce line downtime.
Benefits
The expected base salary range is USD 184,000–287,500. The position also includes eligibility for equity and benefits. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.