Senior AI Engineer, Forward Deployed Engineering

Posted Yesterday
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Santa Clara, CA, USA
In-Office
200K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Build and own production supply-chain decision-intelligence applications on Palantir Foundry and AIP. Translate planner expertise into governed data pipelines, Ontology models, operational interfaces, analytical functions, AI agents, and tested business rules. Integrate enterprise systems and language models, establish evaluation and human-in-the-loop workflows, measure operational outcomes, and lead design, integration testing, UAT, and production support.
Summary Generated by Built In

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.
  • Excellent collaboration and communication skills, with the ability to explain complex designs clearly and build trusted partnerships across technical and business audiences.

Ways to stand out from the crowd:

  • Supply-chain, manufacturing, planning or operations research experience.
  • Experience with constraint optimization, simulation and scenario analysis.
  • TypeScript development and advanced Palantir application development.
  • Experience with agentic frameworks and patterns (RAG pipelines, multi-agent orchestration, vector search) and with NVIDIA NeMo Guardrails or GPU-optimized inference stacks.
  • Hands-on experience with containerized deployments, Kubernetes and hybrid cloud/on-prem environments and evidence of measurable improvements from systems used in daily operations.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and creative people in the world working here! If you are driven by impact, passionate about enterprise AI, and inspired to shape decision intelligence for NVIDIA's Supply Chain Operations, we want to hear from you. Apply today!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 200,000 USD – 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 6, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Hands-on production delivery on Palantir Foundry and AIP, including Python or Pipeline Builder transforms, Ontology design, Workshop or OSDK applications, AIP Logic and Functions, and Data Connection sources
  • Working knowledge of Foundry governance and release management, including projects, roles, markings, branching, and environment promotion
  • Bachelor's degree in Computer Science or a related field, or equivalent experience
  • 12+ years of experience in software architecture, systems design, or enterprise platform engineering
  • Strong Python and SQL development skills
  • Experience integrating enterprise systems such as ERP, planning, and ITSM through APIs, data connectors, or custom services
  • Ability to implement complex business rules and establish their correctness
  • Strong automated testing, debugging, and release practices, including validation of AI-assisted development and LLM 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
  • Excellent collaboration and communication skills
  • Supply-chain, manufacturing, planning, or operations research experience
  • Experience with constraint optimization, simulation, and scenario analysis
  • TypeScript development and advanced Palantir application development
  • Experience with agentic frameworks and patterns, including RAG pipelines, multi-agent orchestration, and vector search
  • Experience with NVIDIA NeMo Guardrails or GPU-optimized inference stacks
  • Experience with containerized deployments, Kubernetes, and hybrid cloud or on-premises environments
  • Evidence of measurable improvements from systems used in daily operations

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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