Job Description
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 effic...
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