Applied Researcher in Robotics-Motion Planning & Controls
| Company | Pickle Robot |
|---|---|
| Location | Boston, MA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Mid Level, Senior |
Requirements
- 3-7 years of experience working in robotics environments, whether in academia, industry, or research settings
- Bachelor’s degree in computer science, robotics, electrical engineering, or a related field; a master’s degree or higher is strongly preferred
- Expert in Python, with extensive hands-on experience developing and optimizing robotics software
- Experience with additional programming languages, such as Drake, is highly preferred
- Experienced in motion/path planning, with a strong understanding of robot kinematics, control systems, and navigation algorithms
- Mathematically inclined, with a deep understanding of algorithms, data structures, and mathematical optimization
- Familiar with test-driven development (TDD) and comfortable applying TDD practices to ensure reliability and maintainability in product development
- Detail-oriented with a systems-level mindset, able to integrate motion planning software into larger robotic architectures
- Collaborative and communicative, able to work closely with multidisciplinary teams to drive product innovation and troubleshooting
- Willing to work in-office from our Charlestown, MA location at least three days per week
- Adaptable and eager to learn, staying up to date with the latest advancements in robotics, AI, and motion planning
Responsibilities
- Invent novel technologies to solve real-world problems related to robotic warehouse operations, including loading and unloading trucks
- Maintain awareness of developments in the rapidly changing AI field, and leverage new and exciting technologies to address robotics challenges
- Develop innovative technologies that improve key performance metrics for speed and reliability by reacting intelligently to environmental disturbances and system faults
- Combine traditional motion planning and control algorithms with newer deep learning models, including reinforcement learning and diffusion models, to maximally leverage the benefits of both
- Identify risks in new approaches, and mitigate risk by developing and executing appropriate experiments
- Collaborate with colleagues to grow the Pickle AI team and overall corporate expertise in robotics and AI
Preferred Qualifications
- Experience with additional programming languages, such as Drake is highly preferred
- A master’s degree or higher is strongly preferred