Robotics Software Engineer (AI)

Location: Bedford, Massachusetts, United States. Occasional travel of up to 10%.

Company

hirify.global develops AI and robotics solutions that automate warehouse tasks for e-commerce, retail replenishment, package handling, and logistics operations.

What you will do

• Train and adapt machine learning architectures for robot learning and visual scene understanding.
• Develop and improve the robot policy learning data collection application.
• Determine which demonstrations, robot logs, sensor data, annotations, and failure cases are suitable for fine-tuning robot foundation models across new tasks, embodiments, and environments.
• Research advances in robotics, collaborate with external research partners, and evaluate solutions for real-world manipulation challenges.
• Prototype solutions and create demonstrations for stakeholders and visitors.
• Own solutions from prototype through robust, production-ready features and assist with mentoring junior engineers or interns.

Requirements

• Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science, or a closely related field.
• Experience in software development in robotics or automation roles.
• Strong development expertise in Python and C++.
• Experience with Git, CI/CD, and modern software engineering tooling and workflows.
• Experience with ROS or ROS2.
• Experience designing and implementing software and algorithms for real robots, including troubleshooting real robot systems.
• Ability to work in a fast-paced environment with changing priorities, determine and communicate technical priorities, rapidly prototype and iterate on challenging solutions, and work independently across multiple projects.
• Strong verbal and written communication skills, including the ability to explain complex ideas clearly to technical and non-technical stakeholders.

Nice to have

• 3+ years of relevant software engineering experience in robotics or automation roles.
• Experience with computer vision for robotic manipulation, including grasp estimation, object detection or segmentation, or anomaly detection.
• Experience with motion planning and optimization for single or bimanual manipulation.
• Experience with imitation learning for manipulation or other real-world use cases.
• Experience with PyTorch, robot simulators such as Isaac Sim or MuJoCo, and robot learning frameworks such as Orbit, Isaac Labs, or OpenAI Gym.
• Experience with robotic sensors such as RGB cameras and depth sensors, combining model-based and data-driven approaches, Docker, cloud computing, parallel or distributed systems, asynchronous or concurrent programming, production robot deployment, or agentic coding tools.

Culture & Benefits

• Work in the Research & Advanced Development group on real-world robotics challenges.
• Work spans the robotics stack from robot drivers to a multi-robot orchestration system in an in-house robot proving ground.
• Collaborate with external research partners and support mentorship of junior engineers or interns.
• Occasional travel of up to 10% is required.