What You’ll Accomplish:
- Research and implement cutting-edge machine learning techniques to develop new capabilities for our autonomous truck unloading robots, allowing them to handle increasingly complex tasks with greater efficiency.
- Enhance the existing capabilities of our robots, driving improvements in both speed and reliability to optimize unload performance.
- Collaborate with cross-functional software engineering teams to seamlessly integrate your contributions into broader hardware and software systems.
- Play a key role in designing and contributing to the architecture of scalable software systems that support the deployment of multiple robots in diverse and dynamic environments.
- Act as a mentor and subject matter expert to earlier career software engineers to help improve the team’s overall capabilities in machine learning.
You Are:
- A seasoned Software Engineer with 5+ years of experience, preferably within robotics or a closely related field.
- A graduate with a bachelor’s or master’s degree in robotics, computer science, or a similar discipline—Master’s degree preferred.
- An engineer with a proven track record in developing autonomous robotic systems.
- Highly proficient in programming languages like Python and C++, with experience in other relevant languages as a plus.
- An expert in machine learning for robotics, with experiences in techniques such as reinforcement learning.
- Experienced in motion and behavioral planning for robots or other autonomous systems, with a deep understanding of these key areas.
- Experienced in working with complex algorithms and data pipelines, capable of optimizing for performance and scalability.
- A strong, clear communicator who centers discussion on ideas and experiments.
- Willing and able to work from our Cambridge, MA office at least three days per week.
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