Skip to main content
NVIDIA

Senior Applied AI Engineer, Manufacturing & System Co-Design - CA, Santa Clara, United States

NVIDIA Remote friendly (US, CA, Santa Clara, United States) 2 months ago
Manufacturing & Equipment Engineering

$168,000 - $310,500 USD yearly

Originally posted 7 August 2026 by the employer.

About the role

This role focuses on building infrastructure to align NVIDIA chips from specification to shipment within the Silicon Co-Design Group, specifically coordinating system and manufacturing test specifications through production release for GPU, SoC, and CPU programs.

What you'll do

  • Define manufacturing specification types, including schema and semantics, derived from system PORs and features.
  • Develop production-grade Python pipelines and automated checks to prevent specification drift between system POR and manufacturing test programs (ATE, SLT, BLT, L10+).
  • Integrate workflow into end-to-end program milestones and define TPM-driven attestation.
  • Integrate tooling into an agent-ready harness, including CLIs, MCPs, bug/spec retrieval, human-in-the-loop checkpoints, and CI gates running against real silicon workflows.
  • Drive adoption of SMAC methodology and tooling across Post Silicon (Prod), Operations, and DFX (DFT/DFP) teams.

What you'll need

  • BS, MS, or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or Systems Engineering.
  • 8+ years in system software, silicon bring-up, or productization engineering.
  • Strong Python and systems skills with experience shipping production services and data pipelines.
  • Deep understanding of the specification ecosystem: system POR, guard-bands, manufacturing screen specs, and test insertion constraints.
  • A proven track record of cross-org influence, re-defining workflows, and applying AI with judgment to reviewable artifacts.

Skills: Manufacturing & System Co-Design, workflow engineer, manufacturing test specifications, Python pipelines, automated checks, silicon bring-up

Market context

This role has been open 71 days — well above the 53-day median for Manufacturing/Industrial Engineering roles.

Manufacturing/Industrial Engineering · Manufacturing Equipment

Open roles in category
2514
Median days open
53 d
Median salary
$97k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How NVIDIA compares in Manufacturing/Industrial Engineering hiring
Metric NVIDIA All employers we track in this specialty (2514 roles · 80 employers)
Open roles in this specialty 23 2514
Open roles in the wider Process, Fab & Equipment family 48 9862 · 109 employers
Median days open 38 d 53 d (−15 d vs this employer)
Median salary (USD postings) — $97k

Skills observed across this category: Manufacturing & System Co-Design, workflow engineer, manufacturing test specifications, Python pipelines, automated checks, silicon bring-up

Who's hiring in this category

  • Micron Technology · 396 open roles · median 79 d
  • Applied Materials · 252 open roles · median 39 d
  • Entegris · 225 open roles · median 38 d
  • Lam Research · 108 open roles · median 60 d
  • Infineon Technologies · 90 open roles · median 58 d
  • STMicroelectronics · 69 open roles · median 54 d

How we counted: 2514 open Manufacturing/Industrial Engineering (Manufacturing Equipment) roles from 80 employers tracked in the SemiconductorJobs index, counted 18 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Process, Fab & Equipment family row. Figures refresh nightly.

Apply now
US, CA, Santa Clara, United States
Hybrid
$168,000 - $310,500 USD yearly
2 months ago

Share this job