About this role
The Applied Robotics Engineer is an in-person role at Medal based in the Virginia office, focusing on deploying artificial intelligence systems into physical hardware environments. This position suits an experienced robotics professional who can connect virtual model training with real-world physical constraints and customer integrations.
Role Overview
Medal seeks an Applied Robotics Engineer to connect research initiatives with physical world deployment constraints. The professional will manage post-training, evaluation, system integration, and hardware deployment. Responsibilities include collaborating directly with partners to analyze legacy control systems, sensor pipelines, latency limitations, and edge compute restrictions. The position requires a mix of office duties and field work with customers across various locations, as well as feeding hardware failure insights back to the research team.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
General Intuition operates as a frontier lab for action in space and time, building large action models and world models that perceive, predict, and act across virtual and physical environments. The organization builds on the foundation of Medal, identified as a large platform for gaming clips where millions of gamers capture, share, and discover new games annually. The company has secured over $650 million from backers including Khosla, GC, Valor, and Point72, reaching a valuation of $6.2 billion.
How to Apply
Interested candidates should visit the official Medal careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Where is the Applied Robotics Engineer role located?
The position is an in-person role based in the Virginia office, with requirements for both office and field work with customers in various locations.
How many years of experience are required for this role?
Candidates must have 5 or more years of experience deploying AI or robotics systems from prototype to production.
What programming languages and technical tools are needed?
The role requires strong proficiency in Python and PyTorch, capability in C++, and experience with inference optimization tools like TensorRT and ONNX.
What is the salary and compensation structure?
The salary ranges from $180K to $300K, and the position includes offers for equity.