Robotics Algorithm Engineer
HELLBENDER Inc.16 days ago
Pittsburgh, PA, USASenior
Responsibilities
- Design and implement algorithms for motion planning, trajectory optimization, and robotic control.
- Develop perception pipelines for SLAM, sensor fusion, object detection, and localization using LiDAR, cameras, IMUs, RADARs, and other sensors.
- Build and refine kinematic and dynamic models for robotic manipulators, mobile platforms, and multi-body systems.
- Optimize deep-learning and classical computer-vision algorithms for real-time inference on embedded and edge hardware.
- Validate and refine algorithms through physical hardware-in-the-loop testing before product deployment.
- Profile and debug latency, throughput, and accuracy across the perception-to-control pipeline.
- Collaborate with mechanical, electrical, and software teams to integrate algorithms into robotic systems.
- Analyze test data to debug performance issues and improve system reliability and safety.
- Document technical designs, experiments, and results for internal and external stakeholders.
Requirements
- A master's degree or PhD in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field.
- At least 5 years of experience developing robotics algorithms in a research or production environment.
- Strong proficiency in C++ and/or Python.
- A strong foundation in linear algebra, probability and statistics, and control theory.
- Experience with ROS, ROS2, or comparable robotics middleware.
- Hands-on experience with motion planning, SLAM, computer vision, or sensor fusion.
- Experience testing and validating algorithms on physical robotic hardware.
- U.S. citizenship or permanent resident status is required.
Benefits
- 401(k) with a 5% Safe Harbor contribution from Hellbender.
- Hellbender pays 100% of employee and family health, dental, and vision insurance premiums.
- 7.5 weeks of total paid time off.
- Profit sharing through the 401(k).
- Hybrid work environment and flexible work schedule.
- Pittsburgh work location with opportunities for internal advancement.