Senior Software Engineer, Agentic Robotics Infrastructure
AI summary of the role
Senior engineer on NVIDIA's Isaac Applications Engineering team, owning the readiness of the robotics software stack for agentic use — from coding agents to embedded robot agents.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design APIs, error surfaces, tooling, and documentation so agents can build with the robotics stack as effectively as human engineers.
- Create agent skills and automated workflows, and support embedded agents on the robot (code-as-policy) with latency, safety, and determinism constraints.
- Run and integrate skill evaluations, turning them into automated regression checks.
- Own CI/CD across applications repos: CMake, Bazel, Python builds, runners, Docker images, dataset provisioning, nightly builds, release and docs pipelines.
What you’ll bring
- Master's degree in Computer Science, Robotics, Engineering, or related field (or equivalent experience).
- 5+ years of professional software engineering experience.
- Fluency across robotics stack software: policy training, simulation, on-robot deployment.
- Hands-on CI/CD pipeline experience (GitHub Actions, GitLab CI, or similar) with Docker and Linux fundamentals.
Technologies
CMake · Bazel · Python · Docker · GitHub Actions · GitLab CI · MCP · Jetson · Isaac Sim · Isaac Lab · Isaac ROS · LLM
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
Join NVIDIA's Isaac Applications Engineering team and help build the platform for Physical AI robots — assembling the full robotics stack and proving it out on real hardware, from simulation through deployment. This role owns a question that runs through all of it: is our software ready to be used by agents? That means the coding agents we build with, the agents our customers will use to build on our stack, and the embedded agents running on the robot itself. You'll design for it, build for it, test for it, and build the infrastructure that keeps it true as the stack evolves. What you'll be doing: Design for it. Shape APIs, error surfaces, tooling, and documentation so that agents can build with our robotics stack as effectively as human engineers — across multiple products and neighboring teams. Build for it. Create agent skills and automated workflows that teams adopt in their own
More from the job description
Join NVIDIA's Isaac Applications Engineering team and help build the platform for Physical AI robots — assembling the full robotics stack and proving it out on real hardware, from simulation through deployment. This role owns a question that runs through all of it: is our software ready to be used by agents? That means the coding agents we build with, the agents our customers will use to build on our stack, and the embedded agents running on the robot itself. You'll design for it, build for it, test for it, and build the infrastructure that keeps it true as the stack evolves. What you'll be doing: Design for it. Shape APIs, error surfaces, tooling, and documentation so that agents can build with our robotics stack as effectively as human engineers — across multiple products and neighboring teams. Build for it. Create agent skills and automated workflows that teams adopt in their own repos, and support embedded agents on the robot (code-as-policy and related approaches) where latency, safety, and determinism constraints apply. Test for it. Run and integrate skill evaluations so agentic workflows are measured, not just deployed, and turn those evaluations into automated checks that catch regressions before they land. Build the infrastructure that keeps it true. Own CI/CD across the applications repos — spanning CMake, Bazel, and Python builds — including runners, Docker imag [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color,
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