R&D Robotics Engineer | Ownership Opportunities

Next-Gen Robotics

Intelligent Hardware/Physical AI

About Company

I am currently partnering with an incredibly innovative, fast-growing technology startup on a mission to completely revolutionize the automation landscape. They are building scalable, plug-and-play hardware and software ecosystems to bring next-generation, highly capable electromechanical systems to life.

About Job

• Take ownership of deploying and fine-tuning advanced control algorithms and learned policies directly onto physical hardware, bridging the gap between simulation and the real world.

• Drive the end-to-end integration and rigorous testing of complex robotic systems, perfectly harmonizing perception and actuation hardware.

• Act as the cross-functional expert to troubleshoot, debug, and conquer complex challenges across the mechanical, electrical, firmware, and software layers.

• Lead the initial bring-up, characterization, and performance evaluation of cutting-edge components, including advanced sensors, motors, encoders, and IMUs.

• Shape the future of the product by defining subsystem performance metrics and designing robust test plans for diverse, unpredictable real-world environments.

• Collaborate closely with top-tier engineering teams, feeding your hands-on hardware insights directly back into the core system architecture and manufacturing processes.

Requirements

• Degree in Computer Science, Mechanical/Electrical Engineering, Robotics, or a related field, coupled with 2-3 years of proven success deploying complex systems on real hardware, not just in simulation.

• Rock-solid programming proficiency in C++ and/or Python, backed by a deep, system-level understanding of how hardware, firmware, and software interact.

• Hands-on expertise in integrating, characterizing, and calibrating dynamic components like sensors, actuators, and computer vision systems.

• Highly comfortable getting your hands dirty with standard diagnostic lab gear (oscilloscopes, multimeters, logic analyzers) to solve tough hardware-software interface problems.

• Strong working knowledge of communication protocols (CAN, Ethernet, USB, MIPI, GMSL) and a solid grasp of real-time computing constraints like strict latency budgets.

• (Plus Point) Prior experience with simulation environments (MuJoCo, Isaac Sim) and a background tackling the unique challenges of dynamic, contact-rich automated systems

  
  To apply online please use the apply function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002)