Enterprise, Production Application Engineer
Overview
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The world’s next technological breakthroughs—from trillion-parameter AI models to autonomous systems—are defined not only by chip design, but by the ability to manufacture and deliver advanced computing infrastructure at unprecedented scale. NVIDIA is looking for a highly motivated and detail-oriented Production Application Engineer to join Nvidia. In this pivotal role, you will serve as the primary interface with ODM/JDM partners, owning all GPU/CPU server–related aspects of L6, L10 and L11 production—from build readiness evaluations and pilot runs through mass-production shipments, ensuring KPIs are met and driving continuous yield and process improvements at every milestone.
What you'll be doing:
• Production Milestone Ownership — Drive build readiness reviews and own the manufacturing checklist sign-off at each milestone gate with ODM/JDM partners.
• Yield Analysis & Improvement — Monitor L6/L10/L11 first-pass yield (FPY), identify top loss contributors, and drive corrective actions to closure.
• Debug & Failure Analysis — Lead debug triage and coordinate cross-functional FA efforts across cross-function teams for manufacturing defects, bonepile recovery, and field returns.
• Factory Process Readiness — Validate ODM production line automation, AOI inspection methodology, and component handling SOPs
• Cross-Functional Technical Interface — Serve as the primary point of contact between NVIDIA internal teams and ODM/JDM partners on all L6, L10, and L11 production topics.
What we need to see:
• Bachelor’s degree in Electrical Engineering, product engineering, Industrial Engineering, Mechanical Engineering, or a related field.
• 5+ years of experience in hardware system engineering, production engineering, manufacturing engineering, or a related role.
• Strong understanding of rack-scale server manufacturing processes, including module assembly (L6), system integration (L10), rack integration (L11), test, and quality control.
• Excellent problem-solving skills and a methodical approach to root cause analysis and failure analysis triage.
• Proven ability to work directly with ODM/JDM factory teams, driving issue resolution on the production floor.
• Strong communication, interpersonal, and presentation skills — able to represent NVIDIA in cross-functional and cross-company technical discussions.
• Ability to work independently and manage multiple priorities across concurrent programs in a dynamic, high-pressure environment.
• Strong English verbal and written proficiency.
Ways to stand out from the crowd:
• Hands-on experience in datacenter/GPU server production engineering, including AOI inspection, connector assembly validation, or thermal solution integration.
• Experience with manufacturing readiness reviews, production checklists, and signoff processes at scale.
• Familiarity with rack-scale liquid cooling systems, high-speed interconnect (NVLink/NVSwitch), and HBM/SOCAMM memory technologies.
• Willingness and ability to travel to ODM/JDM factory sites (domestic and international).
• Excellent teamwork skills to collaborate effectively across cross-functional teams hardware, firmware, diagnostics, and quality engineering.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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