Responsibilities
- Design and train learning-based manipulation systems for humanoid and mobile manipulation platforms
- Develop and maintain high-fidelity digital twins using Isaac Sim, MuJoCo, or similar simulation tools
- Implement and evaluate approaches including Action Chunking with Transformers (ACT), diffusion policies, behavior cloning, and Vision-Language-Action (VLA) models
- Contribute to development of a Universal Manipulation Interface (UMI) abstraction layer
- Build teleoperation-to-training data pipelines to enable scalable dataset generation
- Design sim-to-real transfer strategies including domain randomization and system identification
- Evaluate policy robustness, failure modes, and cross-task generalization
- Partner with perception and controls teams to ensure stable closed-loop visuomotor policies
- Deploy trained models onto real robotic systems and support on-hardware validation and debugging
- Establish experimental rigor through structured evaluation, ablations, and performance tracking
Requirements
- Experience training embodied AI policies for real robotic systems
- Strong understanding of sim-to-real challenges and real-world failure modes
- Familiarity with transformer-based action models such as ACT
- Experience with diffusion policies or other generative control approaches
- Experience working with multi-modal inputs including vision, proprioception, and language
- Proficiency in Python and deep learning frameworks such as PyTorch or JAX
- Experience integrating learned policies with real-time control system
- Strong experimental design, evaluation discipline, and attention to reproducibility
- Ability to operate across research and deployment constraints without losing rigor
Benefits
- Equity in Formic: Participate in our stock option program and share in the success of a fast-growing start-up backed by leading global investors
- Competitive & Uncapped Commission Structure: Designed to reward performance and impact in commission-eligible roles
- Comprehensive Healthcare Coverage: Medical, dental, and vision insurance through Blue Cross Blue Shield and Unum, with 99% of employee premiums covered and 75% coverage for dependents, with optional buy-up plans available
- Additional Insurance Benefits: FSA and DCFSA, life insurance, short-term disability, and long-term disability through Unum, all 100% employer-paid
- Employee Assistance Program (EAP): Fully funded by Formic, offering support when you need it most
- Paid Parental Leave Program: Up to 12 weeks of paid parental leave
- Company-sponsored 401(k): Invest in your future with our company-facilitated retirement savings plan
- Home Office Stipend: A one-time allowance for fully remote and hybrid employees to support an at-home or on-the-road work setup
- Monthly Cell Phone Reimbursement: Monthly stipend toward personal phone and internet expenses
- Flexible Time Off: Take the time you need, when you need it, supported by our flexible PTO policy
Team
Structure: The Software Engineering Team builds and operates the systems that power Formic’s Robotics-as-a-Service platform. The team develops the monitoring, provisioning, and data infrastructure that enables real-time visibility across a growing fleet of deployed industrial robotic systems. Engineering works to ensure systems are observable, resilient, and remotely diagnosable at scale. The focus is on building production-grade edge and cloud systems that support reliable data collection, remote troubleshooting, live video streaming, and continuous system improvement. The team’s work directly impacts fleet uptime, service efficiency, and customer outcomes by ensuring Formic’s monitoring infrastructure is scalable, reliable, and continuously evolving.
