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Lead the development of core systems for intelligent robotic platforms, design and optimize performance-critical components, and integrate machine learning into real-time systems.

As a Deployment Engineer, you will integrate and calibrate robotic systems, troubleshoot software issues, document errors, and train technicians.

The Senior Software Engineer will architect production-grade systems using Python, lead best engineering practices, build tools for research teams, design CI/CD workflows, and mentor peers in a collaborative environment.

Build and maintain front-end interfaces and supporting endpoints for a cloud and HMI platform using React/TypeScript and back-end services (Node.js/C#). Collaborate across teams, write tests, perform code reviews, deploy via CI/CD, and optimize reusable components and 3D visualizations for production manufacturing workflows.

Design and build React/TypeScript front-end features for a cloud authoring platform and factory operator HMI. Work in a shared monorepo, create reusable high-performance components, integrate with back-end services, write automated tests, and participate in full SDLC including code reviews, CI/CD, and deployments.

The Machine Learning Engineer will develop and deploy AI systems for robotics, focusing on advanced manipulation techniques and control algorithms, collaborating across teams.

This is an invitation to connect with the Talent Acquisition team at Path Robotics. Interested candidates can provide contact information and resumes for future opportunities.

The Machine Learning Engineer will build a robot-learning stack, design training infrastructure, deploy ML policies, and collaborate with engineers in heavy manufacturing.

As a Senior Machine Learning Engineer (Tech Lead), you'll lead the ML technical direction, design architectures for loco-manipulation, mentor team members, and manage cross-functional partnerships while writing production-quality code.

Design and implement physics-based sensor simulations and photorealistic rendering pipelines (RGB, depth, stereo, structured light) using tools like Isaac Sim, Unreal, or Blender. Generate large-scale annotated synthetic datasets with domain randomization, validate sim-to-real fidelity against physical measurements, and collaborate with perception teams to meet dataset requirements. Senior roles add architecture, validation benchmarks, asset pipeline strategy, and mentorship.