Principal Architect – Navigation (AI / ML) (RL & Simulation focused)

Overview

Job Title : Principal Architect – Navigation (AI / ML) (RL & Simulation focused)

Location : San Francisco, CA

Job Type : Full-time

We are seeking a highly skilled and visionary Principal Architect – Navigation (AI / ML) for a robotics company based in San Francisco, CA. The company is backed by significant funding and is at the forefront of developing cutting-edge machine learning technology for intelligent automation in warehouses and retail operations.

This role focuses on design and development of navigation systems powered by machine learning and deep learning, driving innovation in intelligent path planning and autonomous decision-making with real-world applications in robotics, logistics, and warehouse automation. You will play a key leadership role in shaping the ML-driven navigation stack—from research and prototyping to production deployment in high-scale environments.

Key Responsibilities

• Architect and build robust ML and deep learning models for navigation and control systems.
• Design and implement reinforcement learning agents within simulation environments.
• Drive end-to-end development and deployment of production-grade ML models.
• Collaborate closely with cross-functional teams across robotics, perception, and infrastructure.
• Evaluate and integrate classical and modern path planning algorithms (e.g., A
• , RRT, D
• Lite).
• Leverage simulation tools to test and validate navigation models in virtual environments.
• Guide the implementation of MLOps best practices, including data pipelines, training, deployment, and monitoring.
• Stay ahead of emerging trends in AI, reinforcement learning, and robotics.

Must-Have Technical Expertise

Nice-to-Have Qualifications

Seniority level

Employment type

Job function

Note : This refined description excludes unrelated postings and boilerplate. It preserves the key responsibilities and qualifications for the Principal Architect – Navigation role.

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