What are the responsibilities and job description for the Senior Robotics / Autonomy Engineer position at Scepter Technologies, Inc?
Job Title: Senior Robotics / Autonomy Engineer
Duration: 6 Months (Contract)
Location: San Francisco, CA Onsite required (No remote option)
In-Person Technical Interview
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
· 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