Jobs / United States / Nvidia Corporation

Nvidia Corporation

Senior AI Engineer, Forward Deployed Engineering

US, CA, Santa Clara Posted today

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Skills this job asks for

Supply chainData engineeringPythonSQLLLMsCommunication

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Nvidia Corporation paid sponsored hires in similar roles1 certified filing for “Manager, Hardware Engineer” (Architectural and Engineering Managers) in NC: $196k–$196k, median $196k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Nvidia Corporation paid sponsored hires in similar roles
1 certified filing for “Manager, Hardware Engineer” (Architectural and Engineering Managers) in NC: $196k–$196k, median $196k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Join the AI & Automation Supply Chain Business Transformations team in NVIDIA Operations to build the next generation of decision intelligence for our supply chain on Palantir Foundry and AIP. As a Senior AI Engineer and Forward Deployed Engineer, you will work directly with planners and supply-chain experts to turn their decision logic into production applications: governed data pipelines, Ontology models, analytical functions, operational interfaces and AI agents that are trusted, tested and used every day. This is a rare opportunity to shape how one of the world's most advanced AI companies runs its own supply chain. If you thrive at the intersection of Palantir engineering, applied AI and supply-chain transformation, join us. What you will be doing: • Build and own production supply-chain applications on Palantir Foundry and AIP, including data pipelines, Ontology models (object, link and action types), analytical functions, operational interfaces (Workshop and OSDK) and controlled actions. • Work directly with supply-chain planners and experts to convert business rules, constraints and exception procedures into documented, versioned and testable software. • Combine analytical methods, optimization and language models to support operational decisions, selecting the approach that meets each use case's correctness, reliability and performance requirements. • Own automated testing and validation across application code, data pipelines, business rules and agent workflows. Establish acceptance criteria with domain experts and enforce checks before release. • Use AI coding tools effectively while remaining accountable for code quality: review generated code, validate assumptions and verify behavior against independently defined expected results. • Build evaluation datasets from approved scenarios and historical decisions. Test edge cases, repeatability, permissions, failure recovery and changes to models, prompts, tools and data. • Define agent autonomy boundaries, human-in-the-loop workflows and escalation strategies for enterprise supply-chain use cases built on AIP. • Measure operational results, including decision cycle time, manual effort, exception resolution and decision quality. Capture user corrections and outcomes to guide improvements. • Capture design requirements, translate them into user stories, lead technical design reviews and documentation, drive end-to-end integration testing and support UAT and hyper care. What we need to see: • Demonstrated hands-on production delivery on Palantir Foundry and AIP: Python or Pipeline Builder transforms, Ontology design (object, link and action types), Workshop or OSDK applications, AIP Logic and Functions, and Data Connection sources, with ownership after go-live. • Working knowledge of Foundry governance and release management: projects and roles, markings, branching, and environment promotion across development, UAT and production. • Bachelor's degree in Computer Science or a related field (or equivalent experience). • 12+ years of demonstrable experience in software architecture, systems design or enterprise platform engineering. • Strong Python and SQL development skills, with experience integrating enterprise systems (ERP, planning, ITSM) through APIs, data connectors or custom services. • Proven ability to implement complex business rules and explain how their correctness was established. • Strong automated testing, debugging and release practices, including validation of AI-assisted development and LLM-based workflows. • Practical experience integrating and evaluating language models, including open models such as NVIDIA Nemotron. • Ability to work directly with operational users, resolve ambiguous requirements and deliver maintainable software. • Exce

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