This role requires a deeply involved technical leader who defines systems through direct construction and writes code daily in Python and/or Go
Job Summary
This role requires a deeply involved technical leader who defines systems through direct construction and writes code daily in Python and/or Go.
The successful candidate will build NVIDIA's enterprise agent architecture by delivering functional systems, developing reference implementations, and elevating technical standards across the organization.
Candidates must grasp infrastructure aspects from Kubernetes to GPU inference stacks and translate new agent development patterns into scalable platform capabilities.
Matching Summary
This role requires a deeply involved technical leader who defines systems through direct construction and writes code daily in Python and/or Go.
Salary
Base: 272,000 USD - 431,250 USD; Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included
Skills & Requirements
Must-have
15+ years distributed systems experience
Python and Go coding proficiency
Kubernetes and containerized workloads
Multi-agent orchestration patterns
GPU-based inference optimization
Security and sandbox isolation
Nice-to-have
Experience with LangChain or LangGraph
Open-source library contributions
Enterprise vector database integration
SDK and API development
CI/CD automation expertise
Key Requirements
Bachelor's degree in Computer Science or equivalent
Master's or PhD preferred
15+ years building large-scale distributed systems