Lead Full Stack Engineer guiding .NET and Vue/React development for CoverGo’s global digital insurance SaaS platform. Leading architecture, performance, security, and engineering teams.
About the role
- Senior Software Engineer building NVIDIA’s open-source NeMo AI platform for scalable agent execution. Designing distributed APIs, plugins, orchestration, and reliability systems across production environments.
Responsibilities
- Design an Agentic Execution system flexible enough to work in local, Kubernetes, Slurm, on-premises, and air-gapped environments
- Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems
- Build and maintain Core Platform APIs for running jobs, storing data, entities, secrets, RBAC, and authentication
- Extend the flexible plugin architecture for internal teams and external customers
- Build in the open in NVIDIA's open-source repository
- Ship production code using agentic coding tools
- Improve reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflows
- Build strong test coverage across unit, integration, end-to-end, Docker, and Kubernetes workflows
- Work in a product research environment with fast iteration, high ownership, pragmatic decisions, and performance-minded implementation
Requirements
- BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field
- 10+ years of professional software engineering experience building production systems
- Comfort working in a very fast and ambiguous environment
- Exceptional verbal and written communication
- Ability to produce and review high-quality architectural RFCs
- Strong system design skills
- Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure
- Experience with distributed systems, cloud-native services, containers, Kubernetes, and job orchestration
- Excellent Python engineering skills, including API design, typing, testing, debugging, performance analysis, and maintainable software design
- Experience designing SDKs, libraries, plugins, CLIs, or other developer-facing interfaces
- Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries
- Preferred: experience building, deploying, and iterating on production agentic AI systems at scale in Kubernetes
- Preferred: experience with sophisticated plugin architectures
- Preferred: ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency
- Preferred: experience with enterprise AI systems requiring measurement, regression testing, observability, governance, and continuous improvement
Benefits
- Equity
- Benefits
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