Senior Software Engineer, NeMo Core Platform

NVIDIA Corporation; Toronto; On-site; CAD 170,000 - 275,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Toronto, Ontario is seeking a Senior Software Engineer to help build the NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. You will work on a senior/architect level to design an Agentic Execution system that runs across multiple compute backends including Kubernetes, Docker, Slurm, and on‑prem environments.

You will lead design reviews, mentor engineers, and own core platform APIs for jobs, data, entities, secrets, and

Qualifications

• BS, MS, or equivalent in Computer Science or related field.
• 10+ years of professional software engineering experience.
• Exceptional communication, both verbal and written, with the ability to discuss architecture at the right level of detail.
• Strong system design skills with focus on reliability, scalability, security, and performance.

Responsibilities

• Design and build an Agentic Execution system adaptable to multiple environments (local, k8s, Slurm, on prem).
• Provide senior technical leadership through design reviews, code reviews, and mentoring.
• Build and maintain Core Platform APIs for running jobs, storing data, entities, secrets, and RBAC/Auth.
• Shipping high-quality code in OSS/open workflows with strong test coverage across units and E2E.
• Improving observability, debuggability, and performance of NeMo Platform and SDKs.

Skills

Python

Distributed systems

Kubernetes

API design

Performance analysis

Containers

API design

Testing and debugging

SDKs / libraries / plugins / CLIs

Education

Bachelor's degree in CS/CE

MS in CS/CE (preferred)

Tools

Docker

RBAC/Auth

OSS tooling

Job 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. This role is for a senior engineer/architect for our Core team which owns and ships an open source plugin-based AI platform for running and optimizing Agents targeting multiple compute backends (local/docker, Kubernetes, Slurm, etc.).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. The NeMo Platform group is building a sophisticated agent execution framework to enable agents to automatically run hundreds of experiments in parallel to find the most efficient agent architectures for our customers. This is important product engineering research for making agents more sustainable. AI systems are not yet nearly as efficient as they can be, and systems like NeMo Platform will allow large scale AI consumers to automatically tune their agents to use fewer tokens and rely on more efficient models with better throughput.What you'll be doing: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. This means fast iteration, high ownership, pragmatic decisions, and performance-minded implementation under production constraintsDesigning an Agentic Execution system that are flexible enough to work in many environments (local, k8s, Slurm, on prem / air-gapped)Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problemsBuilding and maintain our Core Platform APIs for running jobs, storing data, entities, secrets, and RBAC and AuthExtending our flexible Plugin Architecture that makes it easy for many teams and external customers to install new capabilities into our systemBuilding in the open in our OSS repo, keeping up the high standards that the open source community demandsShipping code at the speed of light with an unlimited token budget using best in class agentic coding toolsImproving reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflowsBuilding strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflowsWhat we need to see:BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field10+ years of professional software engineering experience building production systemsComfort working in a very fast and ambiguous environmentExceptional communication, both verbal and written. This includes the ability to produce and review high quality architectural RFCs, and to discuss them clearly with the right level of technical detail for the right people (Engineer, Product, Marketing, etc.)Strong system design skills, with a pragmatic flexibility and phenomenal instincts to invent robust systems quickly without over-complicating. Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructureExperience with distributed systems, cloud-native services, containers, Kubernetes, and job orchestrationExcellent Python engineering skills, including API design, typing, testing, debugging, performance analysis, and maintainable software designExperience designing SDKs, libraries, plugins, CLIs, or other developer-facing interfacesAbility to work independently, define technical scope, break down ambiguous problems, and drive work across team boundariesWays to stand out from the crowd:Experience building, deploying, and iterating on production agentic AI systems at scale in KubernetesExperience with sophisticated plugin architecturesStrong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiencyExperience with enterprise AI systems where measurement, regression testing, observability, governance, and continuous improvement are required for production deploymentYour 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.Applications for this job will be accepted at least until October 2, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.