3 days ago
Shenzhen, ChinaSenior
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.
- Apply analytical methods, optimization, and language models to operational decision-making based on correctness, reliability, and performance requirements.
- Own automated testing and validation across application code, data pipelines, business rules, and agent workflows.
- Review and validate AI-generated code, assumptions, and behavior against independently defined expected results.
- Build evaluation datasets and 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.
- Measure decision cycle time, manual effort, exception resolution, and decision quality, using user corrections and outcomes to guide improvements.
- Capture requirements, translate them into user stories, lead technical design reviews and documentation, drive integration testing, and support UAT and hyper care.
Requirements
- Bachelor's degree in Computer Science or a related field, or equivalent experience.
- At least 12 years of experience in software architecture, systems design, or enterprise platform engineering.
- Hands-on production delivery with 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 across development, UAT, and production.
- Strong Python and SQL development skills and experience integrating enterprise systems through APIs, data connectors, or custom services.
- Ability to implement complex business rules and explain how correctness was established.
- Strong automated testing, debugging, release, and validation practices for AI-assisted development and LLM-based workflows.
- Practical experience integrating and evaluating language models, including open models such as NVIDIA Nemotron.
- Ability to work with operational users, resolve ambiguous requirements, and deliver maintainable software.
- Strong collaboration and communication skills for explaining complex designs to technical and business audiences.
- Preferred experience in supply chain, manufacturing, planning, operations research, constraint optimization, simulation, or scenario analysis.
- Preferred TypeScript and advanced Palantir application development experience.
- Preferred experience with agentic frameworks and patterns, RAG pipelines, multi-agent orchestration, vector search, NVIDIA NeMo Guardrails, or GPU-optimized inference stacks.
- Preferred experience with containerized deployments, Kubernetes, hybrid cloud/on-premises environments, and measurable improvements from systems used in daily operations.
Tech Stack
Categories
Forward Deployed
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.