17 days ago
Remote, Canada or Toronto, CanadaSenior
Responsibilities
- Design an agentic execution system that operates across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments.
- Build and maintain core platform APIs for jobs, data, entities, secrets, RBAC, and authentication.
- Extend the plugin architecture to support capabilities from internal teams and external customers.
- Provide technical leadership through design reviews, code reviews, mentoring, and ownership of cross-component problems.
- Improve reliability, observability, debuggability, and performance across NeMo Helix, SDKs, plugins, jobs, and developer workflows.
- Build strong unit, integration, end-to-end, Docker, and Kubernetes test coverage.
- Develop and maintain open-source software in the NeMo Helix repository.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
- 10+ years of professional software engineering experience building production systems.
- Strong system design skills and 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.
- Strong written and verbal communication, including producing and reviewing architectural RFCs.
- Preferred experience building and deploying production agentic AI systems at scale in Kubernetes.
- Preferred experience with sophisticated plugin architectures and enterprise AI systems involving measurement, regression testing, observability, governance, and continuous improvement.
Benefits
- Eligible for equity and benefits.
- Base salary is listed for Canadian Level 4 and Level 5 positions.
- Applications will be accepted at least until November 3, 2026.
Tech Stack
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.