Production Application Engineer, Enterprise
Nvidia
Nvidia is also hiring for this role in Taiwan, Hsinchu, Taiwan, Taipei.
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1,660 open application roles across 248 companies are on ApplySarthi right now, most of them in Bengaluru (150), Hyderabad (124), Delhi NCR (81).
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What application roles keep asking for: Agile (24%), Java (21%), Python (17%), SQL (15%), Azure (13%) — counted across their open postings here.
Nvidia has 3,293 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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Questions you are likely to be asked
- Why do you want to join Nvidia?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
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Practise the Production Application Engineer, Enterprise at Nvidia interview free →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.
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Listed on workday · posted 2026-10-29. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.