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!
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.
