Lead Software Engineer - Dexterous Manipulation

Synthesia

$120K — $160K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 5+ years of experience in robotic manipulation or complex motion control.
  • Proficiency in Python and real-time robotic software stacks.
  • Expertise in dexterous manipulation and in-hand manipulation techniques.
  • Experience with physics engines for simulation and policy validation.

Responsibilities

  • Serve as the technical authority for dexterous manipulation and create the long-term technical roadmap.
  • Design software frameworks for manipulation and balance autonomous logic with teleoperation.
  • Perform and direct the integration of cutting-edge research into development.
  • Lead the strategy for high-fidelity simulation for optimizing policy transitions.
  • Influence next-generation hardware specifications for manipulation technologies.
  • Oversee the transition from research to deployment, ensuring production code reliability.
  • Foster a culture of technical rigor and mentor future robotics leaders.

Benefits

  • Opportunity to shape the future of robotics with cutting-edge manipulation technologies.
  • Dynamic and innovative work environment focused on research and development.
  • Direct involvement in both software and hardware aspects of robotic systems.
  • Mentoring and leadership opportunities to develop the next generation of engineers.
  • Direct impact on the deployment of leading-edge technology in real-world applications.
Full Job Description
JOB SUMMARY

The Lead Software Engineer - Dexterous Manipulation is a core contributor to our robot's ability to interact with the world with human-like precision. This role is responsible for leading the development of learning-based dexterous control algorithms that unlock the full potential of state-of-the-art robotic hand hardware.

This role will bridge the gap between cutting-edge research and scalable, reliable production software. Whether leveraging reinforcement learning, imitation learning, teleoperation retargeting, or classical control, they will ensure our robots can perform complex, high-DOF tasks in both simulation and reality. As a technical lead, they will not only design the core software architecture but also influence hardware design to achieve world-class manipulation capabilities.

ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES
  • Strategic Ownership: Serve as the technical authority for dexterous manipulation. Create the long-term technical roadmap, ensuring hand control and multi-fingered coordination capabilities outpace industry standards.
  • Architectural Definition: Design and enforce the foundational software frameworks for manipulation. Own the decision-making process for balancing autonomous logic with high-fidelity teleoperation, ensuring the architecture is scalable for future hardware generations.
  • Research & Innovation: Perform and direct the integration of state-of-the-art research. Select and deploy the specific learning-based policies and vision-integrated systems that will define system physical capabilities.
  • Sim-to-Real Ownership: Lead the strategy for high-fidelity simulation. Set the standards for success in virtual environments to optimize policy transitions to physical fleet hardware.
  • Hardware Design Influence: Drive the specifications for next-generation hardware. Define the requirements for sensing, degrees of freedom, and torque profiles.
  • Production Excellence: Oversee the transition from experimental research to fleet-wide deployment. Ensure performance and reliability of C++/Python code running on production-level assets.
  • Technical Leadership & Culture: Act as a force multiplier across the organization. Beyond code reviews, foster a culture of technical rigor, setting the bar for architectural excellence and mentoring the next generation of robotics leaders.

SKILLS AND REQUIREMENTS

Technical Skills (Must-Have)
  • Dexterous Manipulation: Deep expertise in multi-fingered hand control, grasp planning, and in-hand manipulation, with a strong track record of successful hardware deployment.
  • Advanced Control & Learning: Proficiency in learning-based control for robotics (e.g. flow/diffusion-based visiomotor policies, reinforcement learning, reward modeling, etc.).
  • Software Engineering: Proficiency in Python, with experience building real-time robotic software stacks.
  • Simulation Environments: Experience with physics engines such as IsaacSim, MuJoCo, or Drake for policy training and validation.

Good to Have
  • Robotic Kinematics: Strong foundation in spatial transformations, Jacobian-based control, and constrained optimization.
  • Teleoperation: Experience with VR/haptic interfaces and retargeting algorithms for human-in-the-loop control.
  • Tactile Sensing: Experience integrating tactile/haptic feedback into manipulation pipelines.
  • Computer Vision: Familiarity with 6D pose estimation, point cloud processing, or visual-servoing.
  • Hardware Bring-up: Experience with the initial calibration and tuning of high-DOF robotic end-effectors.

EDUCATION and/or EXPERIENCE
  • BS/MS/PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 5+ years of relevant experience (or 3+ years with a PhD) specifically focused on robotic manipulation or complex motion control.
  • A proven track record of taking complex algorithms from a research/simulation environment and successfully deploying them on physical hardware.

PHYSICAL REQUIREMENTS
  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate


*This is a direct hire. Please, no outside Agency solicitations.

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