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Help us build the future of intelligent robotics
Open Positions
Founding Robotics Engineer – Embodied Intelligence & Learned Manipulation
About Cerebel
Cerebel builds the dexterous AI workforce. We are building a vertically integrated robotics platform combining large-scale multimodal data collection, Vision–Language–Sensory–Action (VLSA) models, and precision robotic hardware.
The Role
Join Cerebel as a Founding Robotics Engineer to own the AI pipeline — from simulation environments and training infrastructure to model deployment on physical robots operating in real warehouses. You will design, train, and evaluate the VLSA models that translate perception into action. This is a contract-to-hire role with a clear path to full-time founding team membership.
Responsibilities
- Design and train Vision–Language–Action / VLSA models for dexterous manipulation and pick-and-place tasks
- Build and maintain imitation learning pipelines from teleoperation data
- Develop and optimize simulation environments in Isaac Sim, Isaac Gym, or MuJoCo
- Lead sim-to-real transfer efforts (domain randomization, system identification, policy adaptation)
- Integrate stereo depth perception (ZED 2i or equivalent) into action models
- Implement and refine SLAM-based navigation for structured warehouse environments
- Establish evaluation frameworks for accuracy, generalization, and cycle time performance
- Deploy trained policies onto physical robotic systems and iterate based on real-world failure modes
Requirements
- Master’s or Ph.D. in Robotics, Computer Science, Machine Learning, or related field
- Deep experience in robot learning (imitation learning, reinforcement learning, or vision-language-action models)
- Strong PyTorch expertise for model development, fine-tuning, and evaluation
- Hands-on experience with robotics simulation (Isaac Sim / Isaac Gym / MuJoCo)
- Experience integrating perception systems (depth cameras, point clouds)
- Familiarity with SLAM or visual navigation systems
- Experience deploying learned models on real robotic hardware
Ideal Candidates
- You’ve trained and deployed a learned policy on a real robot — not just in simulation
- You thrive in early-stage environments where speed, ownership, and creativity matter
- You’re excited about building foundational AI systems that power physical automation at scale
Why Join
Cerebel is at the frontier of embodied intelligence. As a founding engineer, you’ll shape the core AI stack from day one — with direct impact on how robots learn, perceive, and act in the real world. You’ll work alongside a tight-knit team pushing the boundaries of what’s possible in autonomous manipulation.
- Plano, TX
Founding Embedded Software Engineer – Robotic Systems & Control Architecture
Architect and build the control backbone of our robotic platform — from low-level motor control to safety-critical systems.
About Cerebel
Cerebel builds the dexterous AI workforce. We are building a vertically integrated robotics platform combining large-scale multimodal data collection, Vision–Language–Sensory–Action (VLSA) models, and precision robotic hardware.
The Role
Join Cerebel as a Founding Embedded Software Engineer to define how our robots move, respond, collect data, and operate safely in real-world environments. You will work at the intersection of hardware, real-time control, and intelligent systems — translating high-level action outputs into precise, deterministic motor behavior. This is a contract-to-hire role with a clear path to full-time founding team membership.
Responsibilities
- Architect and implement low-level control software for robotic manipulators and mobility systems
- Develop CAN bus communication layers (device enumeration, joint state feedback, command transmission)
- Build teleoperation systems for arms and mobile bases to support manual operation and large-scale data collection
- Design and implement autonomous state machines (task execution, battery management, charging logic, fault recovery)
- Implement safety-critical systems (E-stop logic, watchdog timers, system health monitoring)
- Develop real-time logging, diagnostics, and performance monitoring tools
- Integrate AI inference outputs into deterministic motor control pipelines
- Collaborate closely with mechanical and AI engineers during robot bring-up and system iteration
Requirements
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Robotics, or related field
- Strong experience with CAN bus communication (CANopen, J1939, or proprietary protocols)
- Proficiency in C/C++ for embedded and real-time systems
- Experience with motor control systems (encoders, BLDC/servo control, PID tuning)
- Familiarity with embedded Linux and serial communication protocols (UART, SPI, I2C)
- Experience with ROS2 or comparable robotics middleware
- Hands-on experience debugging real hardware using oscilloscopes, logic analyzers, or CAN tools
Ideal Candidates
- You’ve built and shipped embedded control systems for real robotic or electromechanical platforms
- You’re comfortable working across the full stack — from hardware bring-up to system-level software
- You want to be at the ground floor of a robotics company where your work directly defines how robots operate
Why Join
Cerebel is building the next generation of intelligent robotic systems. As a founding embedded engineer, you’ll define the control architecture from scratch — owning everything from motor-level precision to system-wide autonomy. You’ll have a direct hand in bringing robots from prototype to production.
- Plano, TX