Description
We are looking for a Senior Software Engineer to help build NeMo Platform, NVIDIA's product for developing, evaluating, deploying, and operating AI systems at scale.
As AI systems become more autonomous and more deeply integrated into real workflows, teams need robust APIs and orchestration systems for running, monitoring, and optimizing Agents at scale. Increasingly, the users of these systems are themselves autonomous or semi-autonomous Agents.
Responsibilities:
- Working in a product research environment where we place big bets on where the future is heading, adapting in real time as we build alongside an industry that is constantly evolving with us.
- Designing an Agentic Execution system that is flexible enough to work in many environments (local, k8s, Slurm, on prem / air-gapped).
- Providing senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems.
- Building and maintaining our Core Platform APIs for running jobs, storing data, entities, secrets, and RBAC and Auth.
- Extending our flexible Plugin Architecture that makes it easy for many teams and external customers to install new capabilities into our system.
- Building in the open in our OSS repo, keeping up the high standards that the open source community demands.
- Shipping code at the speed of light with an unlimited token budget using best in class agentic coding tools.
- Improving reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflows.
- Building strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflows.
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 communication, both verbal and written.
- Strong system design skills, with a pragmatic flexibility and phenomenal instincts to invent robust systems quickly without over-complicating.
- 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.
Nice to Have:
- Experience building, deploying, and iterating on production agentic AI systems at scale in Kubernetes.
- Experience with sophisticated plugin architectures.
- Strong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency.
- Experience with enterprise AI systems where measurement, regression testing, observability, governance, and continuous improvement are required for production deployment.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5.
You will also be eligible for equity and benefits.