# Senior AI Engineer and Forward Deployed Engineer

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 200,000 USD – 322,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Engineer--Forward-Deployed-Engineering_JR2029041?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4db0ad5a-b6f

## Description

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.

**Responsibilities**

- Build and own production supply-chain applications on Palantir Foundry and AIP, including data pipelines, Ontology models, analytical functions, operational interfaces 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.

- Use AI coding tools effectively while remaining accountable for code quality.

- Build evaluation datasets from approved scenarios and historical decisions.

- 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 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.

**Requirements**

- Demonstrated hands-on production delivery on Palantir Foundry and AIP.

- Working knowledge of Foundry governance and release management.

- Bachelor's degree in Computer Science or a related field.

- 12+ years of demonstrable experience in software architecture, systems design or enterprise platform engineering.

- Strong Python and SQL development skills.

- Proven ability to implement complex business rules.

- Strong automated testing, debugging and release practices.

- Practical experience integrating and evaluating language models.

- Ability to work directly with operational users.

- Excellent collaboration and communication skills.

**Nice to Have**

- 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.

- Hands-on experience with containerized deployments, Kubernetes and hybrid cloud/on-prem environments.

The 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.

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## Skills

### Required
- Palantir Foundry
- AIP
- Python
- SQL
- software architecture
- systems design
- enterprise platform engineering
- automated testing
- debugging
- release practices
- language models

### Nice to have
- supply-chain
- manufacturing
- planning
- operations research
- constraint optimization
- simulation
- scenario analysis
- TypeScript
- agentic frameworks
- containerized deployments
- Kubernetes
- hybrid cloud/on-prem environments

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Engineer--Forward-Deployed-Engineering_JR2029041?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)