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Compute System Arch Engineer, AI Infra - New College Grad 2027
NVIDIA
China, Shanghai · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)
We are building reusable, reliable AI infrastructure for engineering teams, transforming technical documents, source code, and engineering data into accessible knowledge and enabling AI agents to perform complex engineering tasks. In this role, you will design and develop knowledge platforms, LLM service integrations, and agent execution frameworks, taking AI capabilities from prototypes to maintainable production systems for knowledge retrieval, test development, code review, and failure analysis.
Responsibilities
- Design and develop reusable AI platform components and services that provide consistent interfaces for model access, knowledge retrieval, tool calling, and workflow execution.
- Build data ingestion and processing pipelines for heterogeneous sources, including documents, code, and tables, supporting parsing, structured extraction, incremental updates, versioning, and provenance.
- Develop retrieval-augmented generation (RAG) and knowledge infrastructure, combining vector search, keyword search, reranking, and structured knowledge to improve retrieval quality and context relevance.
- Develop agentic and multi-agent workflows with tool integration, context and state management, task scheduling, failure recovery, and human review.
- Build evaluation and observability systems using datasets, automated tests, regression benchmarks, and execution traces to measure and improve correctness, reliability, latency, and cost.
- Own platform deployment and maintenance, including access controls, data isolation, recovery mechanisms, and release processes, supporting reliable use across multiple users and applications.
- Collaborate with domain experts and application developers to translate engineering needs into platform capabilities and continuously improve them through user feedback.
- What we need to see
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field, or equivalent experience. An MS or PhD is a plus.
- Hands on experience in software engineering, infrastructure, data platforms, machine learning engineering, or related areas.
Languages
- Work format
- On-site
- Seniority
- Junior
- Posted
- 29 Oct 2026
- Last verified
- In the last 5 days
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