Used Tools & Technologies
GPURequired 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
Communication @ 4
Networking @ 7
System Architecture @ 7
AI @ 4
InfiniBand @ 4
HPC @ 4
NVLink @ 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. This role focuses on designing, driving, and operationalizing rack-scale factory and deployment flows for next-generation data center products that combine NVIDIA GPUs, NVLink, InfiniBand, Grace CPUs, and a full NVIDIA AI/HPC software stack.
Responsibilities
- Lead and drive rack-scale / L11 flows for factory and initial data center deployment.
- Design and implement end-to-end factory workflows, including firmware flashing sequences, security provisioning, and deployment of software mitigations.
- Collaborate with data center architects, ODMs, and OEMs to define factory and data center requirements to ensure efficient and reliable production ramp.
- Champion reliability, debuggability, and optimization in firmware, diagnostic, and deployment tool design.
- Drive pre-silicon readiness for factory & manufacturing workflows for rack-scale products using NVIDIA's simulation & emulation technology.
- Mentor architects and engineering teams to grow them into future leaders.
- Make key technical decisions even when faced with ambiguity.
Requirements
- BS or MS degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.
- 8+ years in system architecture and design.
- Deep experience designing architecture for scalable and performant server systems, particularly at the software/hardware interface.
- Strong understanding of networking technologies and protocols (e.g., Ethernet, InfiniBand).
- Previous experience working with complex system software for accelerators such as GPUs, DPUs, or FPGAs.
- Expertise in out-of-band and in-band management architectures.
- Knowledge of system management protocols such as Redfish and IPMI.
- Demonstrable experience implementing left-shift strategies to de-risk program execution.
- Excellent written and verbal communication skills.
Ways to stand out from the crowd
- Knowledge of large-scale cloud and cluster level deployment and management systems.
- Demonstrated track record of leading data center products across the entire lifecycle (inception, pre-silicon development, post-silicon bring-up, manufacturing, and deployment).
Compensation and benefits
- Base salary ranges:
- Level 4: 184,000 USD - 287,500 USD per year
- Level 5: 224,000 USD - 356,500 USD per year
- Eligible for equity and benefits (see: https://www.nvidia.com/en-us/benefits/).
Applications for this job will be accepted at least until June 29, 2026.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
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