Senior Robotics / Autonomy Engineer – AI Sensor & Edge Systems

Role Overview

We are building next-generation sensor and edge-compute systems that enable heavy machinery to see, understand, and learn from the real world. This role is for a high-velocity implementer, not a researcher.

You will design, build, deploy, and iterate on real-world AI systems mounted on large machines operating in harsh environments. If you thrive under tight timelines, imperfect data, brutal bandwidth constraints, and hands-on hardware integration, this role is for you.

This initiative is part of a broader vision to collect large-scale machine data for reinforcement learning, imitation learning, and foundation model development, similar to how Tesla approaches autonomy.

Key Responsibilities

• Design and deploy modular sensor stacks (LiDAR, cameras, CAN bus, edge compute) across multiple machine types

• Build low-latency AI pipelines under constrained bandwidth and compute environments

• Integrate edge AI systems with heavy machinery and autonomous platforms

• Enable efficient data capture, filtering, and offloading via 5G / Wi-Fi

• Identify critical data signals required for model training and continuously refine data pipelines

• Rapidly iterate on AI workflows to support reinforcement learning and imitation learning

• Work onsite to mount, test, debug, and harden systems in real-world conditions

• Deliver large amounts of functional output under aggressive timelines

Required Technical Skills

• Strong hands-on experience in AI development for Robotics / Autonomy

• Proficient in C++ and/or Python

• Experience building sensor stacks including:

• LiDAR

• Cameras

• CAN BUS

• Edge compute systems

Prior work with:

• Autonomous vehicles

• Robotics platforms

• UAV sensing systems

• DIY robots that operate in real environments

• Comfortable working with imperfect data, hardware constraints, and field deployments

Preferred Skills

• Experience with transformer-based models and AI agents

• Familiarity using multiple AI agents simultaneously

• Exposure to reinforcement learning, imitation learning, or world models

• Background in edge AI optimization and bandwidth-constrained systems

• Previous experience at Uber, Tesla, or similar autonomy-driven companies

Soft Skills & Mindset

• Self-starter / go-getter mentality

• Extremely autonomous and execution-focused

• Thrives in fast-paced, ambiguous environments

• Comfortable cutting corners when needed to deliver results

• Strong problem-solving instincts with a “make it work” attitude

• Energized by shipping in weeks, not publishing in months

Why This Role

• Direct impact on real machines in the field

• Opportunity to shape large-scale AI data collection for foundation models

• Work alongside senior architects tackling complex autonomy challenges

• High ownership, high trust, and rapid execution

• Not research-oriented — this is about building and deployin