Open Roles

About the Role

Minerva Humanoids is building the next generation of general-purpose humanoid robots for real-world deployment in industrial and logistics environments. Our manipulation stack is central to enabling robots to interact with objects and environments in useful, adaptive ways.

As an AI/ML Engineer on the Manipulation team, you will develop and deploy learned robotic manipulation algorithms, working across the full stack from model design through real hardware deployment. You will contribute directly to capabilities that ship on production robots.

What You’ll Do

•   Design and develop learned manipulation software and algorithms for grasping, pick-and-place, and dexterous object handling

•   Develop manipulation capabilities for both structured and unstructured environments

•   Model robotic manipulation processes to support analysis, simulation, planning, and control

•   Reason about uncertainty from sensor measurements and physical interaction, developing algorithms that adapt to imperfect information

•   Assist with software architecture design, including interfaces between perception, planning, and control subsystems

•   Evaluate models in simulation and deploy to physical hardware

What You’ll Bring

•   Master's or PhD in Computer Science, Robotics, Machine Learning, or a related field (or equivalent industry experience)

•   Proficiency in Python (including NumPy and PyTorch)

•   Experience with deep imitation learning or reinforcement learning

•   Solid understanding of robotics fundamentals: geometry, linear algebra, kinematics, dynamics

•   Ability to write production-quality code in Python or C++

Nice to Have

•       Experience with robot learning through tactile and/or vision-based sensors

•  Prior work in state estimation, visual odometry, SLAM, or 3D reconstruction

•  Track record of training and deploying neural networks on real-world robotic systems

About the Role

Minerva Humanoids is developing robust embodied intelligence through humanoid robots. The Policy Learning team works on cutting-edge algorithms that enable our robots to walk, balance, recover from disturbances, and perform whole-body movements in dynamic real-world settings.

As an RL Engineer, you will develop end-to-end reinforcement learning policies for whole-body control, working from simulation through deployment on physical hardware. The policies you develop will directly power our fleet of humanoid robots.

What You’ll Do

•   Develop end-to-end reinforcement learning policies for whole-body movements including locomotion and manipulation

•   Design observation spaces, action spaces, and reward functions grounded in first-principles physics understanding

•   Develop techniques to improve sim-to-real transfer, including system identification and domain randomization

•   Evaluate policies in simulation and validate on hardware

•   Develop robotic learning pipelines using either imitation or reinforcement learning approaches

•  Learn to perform dexterous tasks using high-DOF hands and solve language-conditioned tasks from vision

What You’ll Bring

•  Master's or PhD in Computer Science, Robotics, Machine Learning, or a related field (or equivalent industry experience)

•  Experience writing production-quality Python (including NumPy and PyTorch)

•   Solid understanding of robotics fundamentals: geometry, linear algebra, kinematics, dynamics, probability, and statistics

•  Experience with end-to-end robotic learning (imitation or reinforcement learning)

Nice to Have

•  Experience with distributed deep learning systems and large-scale training

•  Exposure to robot learning through tactile and/or vision-based sensors

•  Prior work with legged robots, bipedal locomotion, or multi-DOF robotic hardware

•  Proven track record of training and deploying neural networks in real-world applications

About the Role

Minerva’s Simulation team designs and deploys cutting-edge simulation systems that blend accurate physics modeling, photorealistic rendering, and intelligent virtual agents. These simulations allow us to rigorously evaluate robot behavior, uncover edge cases, and drive continuous improvements in autonomy and decision-making.

As a Modeling & Simulation Engineering Engineer, you will build and refine the simulation environments and physics models that accelerate our robot’s ability to operate effectively in the real world, closing the gap between simulation and reality.

What You’ll Do

•   Develop and maintain high-fidelity physics simulation environments for humanoid robot training and evaluation

•   Create accurate dynamic models of robot actuators, sensors, contact interactions, and environmental objects

•   Build scalable simulation infrastructure for reinforcement learning training at scale

•   Generate synthetic datasets for training perception and manipulation models

•   Develop tools and metrics for quantifying sim-to-real gap and driving improvements

•   Collaborate with autonomy teams to define simulation requirements and validate behavior in virtual environments

What You’ll Bring

•   Master's or PhD in Mechanical Engineering, Robotics, Computer Science, or a related field (or equivalent industry experience)

•   Experience with physics simulation engines (MuJoCo, Isaac Sim, PyBullet, Gazebo, or similar)

•   Strong programming skills in Python and/or C++

•   Understanding of rigid-body dynamics, contact mechanics, and multi-body simulation

•   Familiarity with CAD tools and FEA/simulation software

Nice to Have

•   Experience with photorealistic rendering or game engine development (Unreal, Unity)

•   Familiarity with distributed systems and ML infrastructure for large-scale training

•   Prior work on sim-to-real transfer for robotic systems

•   Experience with GPU-accelerated simulation

About the Role

The Minerva Sensing team is responsible for architecting, designing, validating, and integrating state-of-the-art sensing technologies for our humanoid robots. The sensors we develop support both manipulation and locomotion, providing the robot with the perceptual foundation it needs to operate in the real world.

As a Sensor Integration Engineering Engineer, you will support the design, characterization, and integration of sensing subsystems, working across hardware and software boundaries to deliver reliable sensor performance from prototype through deployment.

What You’ll Do

•   Support the design and integration of sensing subsystems including vision, force/torque, tactile, and inertial sensors

•   Develop sensor characterization and calibration procedures

•   Prototype and test new sensing technologies and applications

•   Perform data analysis on sensor performance and contribute to validation testing

•   Collaborate with autonomy and controls teams to ensure sensor data meets downstream requirements

•   Debug hardware-software interactions across the sensing stack from prototype through integration

What You’ll Bring

•   Master's or PhD in Electrical Engineering, Mechatronics, Robotics, or a related field (or equivalent industry experience)

•   Fundamental knowledge of circuit design, analog analysis, and sensor physics

•   Hands-on experience with sensor characterization and validation

•   Proficiency in Python, MATLAB, or similar tools for data analysis and visualization

•   Ability to work cross-functionally across hardware and software teams

Nice to Have

•   Experience with board-level analog and mixed-signal design

•   Familiarity with communication protocols (SPI, I2C, CAN, Ethernet)

•   Experience with robotic perception systems (cameras, LiDAR, IMUs, force sensors)

•   Proficiency in SPICE or similar simulation tools

•   Prior work integrating sensors on robotic or mechatronic platforms