Research / Software Engineer, Humanoid Whole-Body Learning

Job overview

The Research / Software Engineer role is onsite in Boston, MA, where FieldAI’s growing research and development team is based. Compensation is $120,000–$220,000 per year. The role supports development of FieldAI’s learning systems for humanoid robots and its work on reliable, field-ready AI systems. The engineer develops and deploys whole-body robot-learning policies, connecting research and simulation with physical robot operation. The role also improves motion retargeting, simulation fidelity, evaluation systems, and learning infrastructure in collaboration with teams across perception, learning, simulation, and hardware.

What you'll do

• Develop and train whole-body loco-manipulation policies
• deploy policies to physical humanoids and integrate them into production software
• advance motion retargeting
• improve simulation fidelity and the real-to-sim loop
• build automated evaluation and validation systems
• improve robot-learning infrastructure
• collaborate across research, perception, learning, simulation, and hardware teams.

What we're looking for

Skills & competencies

research engineer

software engineer

humanoid robotics

whole-body learning

reinforcement learning

motion retargeting

robot simulation

robot deployment

boston ma

$120k–$220k

Work arrangement

• Weekend coverage required

Why this role

The posting highlights hands-on humanoid robot experience, whole-body loco-manipulation, GPU-accelerated simulation, motion retargeting, and transferring learned behaviors from simulation to real hardware.

About the employer

FieldAI is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.