Apptronik Logo

Apptronik

Lead Software Engineer - Dexterous Manipulation

Reposted 22 Hours Ago
Be an Early Applicant
Easy Apply
Hybrid
Austin, TX
Senior level
Easy Apply
Hybrid
Austin, TX
Senior level
Lead development of learning-based dexterous manipulation software, bridging research and production. Define architecture, simulation-to-real strategies, and hardware requirements. Deliver reliable C++/Python systems, integrate state-of-the-art control and vision policies, mentor engineers, and drive fleet deployment of multi-fingered hand control.
The summary above was generated by AI

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.

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. 

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Similar Jobs at Apptronik

21 Hours Ago
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
Lead global service inventory, demand planning, and warehouse infrastructure to maximize fleet uptime. Build automated ERP/WMS/CRM systems, enforce cycle counts and serialization, optimize spare parts forecasting and regional stock, run reverse logistics and compliance, scale multi-site warehouse layouts, and hire and coach an inventory team while partnering cross-functionally to translate constraints into procurement and operational plans.
Top Skills: 3Pl5SCRMErpMicrosoft Business CentralNetSuiteSalesforceSAPWms
22 Hours Ago
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Computer Vision • Hardware • Machine Learning • Robotics • Software
The Senior Mechanical Engineer will simulate and analyze the structural integrity and performance of the Apollo humanoid robot, focusing on mass optimization and safety criteria through predictive engineering and advanced simulations.
Top Skills: AbaqusAnsysSimcenter
22 Hours Ago
Easy Apply
Hybrid
Easy Apply
Expert/Leader
Expert/Leader
Computer Vision • Hardware • Machine Learning • Robotics • Software
Design and implement high-performance compute and sensory architecture for Apollo robot, including custom PCB design and multiple sensing integration, ensuring safety and reliability for robotics applications.
Top Skills: 10GbeAltium DesignerAnsysDdr4Ddr5GmslHyperlynxNvidia JetsonPcieSpice

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account