Robotics Engineer | Remote

Crossing Hurdles; United States; Remote; USD 500,000 - 1,500,000; Full time

Job summary

Crossing Hurdles is seeking a Member of Technical Staff for Robotics & Embodied AI Research. The role is remote with a full-time commitment and a salary range of $500K-$1.5M per year.

You will lead frontier robotics research, design end-to-end experimentation, and develop high-fidelity simulations using real-world data. Responsibilities include building scalable datasets, analyzing model behavior, and driving experiments from concept to deployment.

Qualifications

• Strong background in robotics, embodied AI, robot learning, computer vision, or applied ML research.
• Hands-on experience developing, training, or evaluating robot learning models (VLA, imitation learning, or generalist policies).
• Proficiency in Python and ML/robotics frameworks (PyTorch, ROS, simulators).
• Experience designing robotics experiments with real-world data collection, simulation, and evaluation.

Responsibilities

• Lead frontier robotics research across VLA models, generalist policies, world models, and embodied AI approaches.
• Design end-to-end experimentation systems spanning teleoperation, data collection, simulation, policy deployment, and real-world evaluation.
• Develop high-fidelity simulations using real-world data to test robot policies and validate performance.
• Leverage human-in-the-loop annotation to scale robotics datasets from egocentric video and multimodal sensors.
• Investigate model limitations and sim-to-real gaps to improve datasets, benchmarks, and evaluation methods.
• Identify high-impact research opportunities and lead projects from exploration to scalable implementation.

Skills

Robotics

Embodied AI

Robot learning

Computer vision

Applied ML research

Python

PyTorch

ROS

Tools

PyTorch

ROS

Simulation environments

Telemetry/data collection

Job description

Position: Member of Technical Staff, Robotics & Embodied AI Research

Type: Full-time

Compensation: $500K - $1.5M/yr

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities

• Lead frontier robotics research across VLA models, generalist policies, world models, and emerging embodied AI approaches.
• Design end-to-end experimentation systems spanning teleoperation, data collection, simulation, policy deployment, and real-world evaluation.
• Develop high-fidelity simulations using real-world data to evaluate robot policies and validate performance in physical environments.
• Leverage human-in-the-loop annotation platform to structure and scale robotics datasets from egocentric video, teleoperation demonstrations, and multimodal sensor data.
• Investigate model limitations, failure modes, and sim-to-real gaps to develop improved datasets, benchmarks, and evaluation methodologies.
• Independently identify high-impact research opportunities and lead projects from initial exploration through experimentation and scalable implementation.

Requirements

• Strong background in robotics, embodied AI, robot learning, computer vision, or applied machine learning research.
• Hands-on experience developing, training, or evaluating robot learning models, including VLA models, imitation learning, or generalist policies.
• Proficiency in Python and experience with robotics or ML frameworks such as PyTorch, ROS, or simulation environments.
• Experience designing robotics experiments involving real-world data collection, simulation, policy evaluation, or hardware deployment.
• Understanding of robot learning methodologies, multimodal perception, and sim-to-real transfer challenges.
• Ability to analyze model behavior, identify failure modes, and translate research findings into measurable performance improvements.