Senior Software Engineer, Robotic Packing/Manipulation

Berkshire Grey · Bedford, MA · 3 wk ago

On-siteEngineeringFull-time

Develop learning methods for spatial reasoning, sequential decision-making, and robotic manipulation.
Combine learned policies and predictive models with planning and optimization to solve physically constrained tasks.
Design training and evaluation workflows that measure task success, robustness, and execution efficiency.
Create demos for stakeholders and visitors to quickly prototype solutions.
Serve as subject matter expert for transitioning prototypes to product teams.
Identify high-impact areas for improvements of our robotic systems to solve real problems.
Utilize and extend simulation software environments to develop and test manipulation behaviors.
Stay abreast of the latest advancements in robotics and related fields, evaluating their applicability to our challenges.
Collaborate with external research partners to find solutions for BG’s problem space.
Assist with mentorship of more junior engineers or interns.
Communicate technical priorities and status.

Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field.
4+ years of experience in software development with a focus on robotics manipulation or related areas.
Strong development expertise in Python and C++.
Experience with major deep learning frameworks such as PyTorch.
Experience with data science tools & libraries like numpy, pandas, scipy, matplotlib, scikit-learn.
Experience in working with ROS or ROS2.
Demonstrated experience training and adapting of existing machine learning architectures for robot learning, to solve tasks in domains such as manipulation, locomotion, or navigation.
Demonstrated ability to: Develop on and troubleshoot real robotic systems, Determine and communicate justification of technical priorities, Rapidly prototype and iterate on solutions to challenging problems, Work independently on a variety of projects while maintaining focus, Work in a fast-paced environment with changing priorities, Mentor junior engineers, Strong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders.

PhD in Robotics, Machine Learning, Computer Science or a closely related field.
Demonstrated technical proficiency in solving spatial reasoning and sequential decision-making in robotics.
Experience with: Applying machine learning to hardware interacting with the real world, Real and simulated data capture, Sim-to-real for robotic manipulation, Real-time perception-based control, Incorporating tactile sensor information into manipulation behaviors, Robot simulators (e.g. OpenRAVE, Isaac Sim or MuJoCo), Robot learning frameworks (e.g. Isaac-Gym, Orbit / Isaac Labs), Combining model-based and data-driven approaches, Docker, cloud computing, or similar applications, Experiment tracking and dataset management (e.g. Weights & Biases), Database systems as data source, such as MongoDB, Parallel/distributed systems and asynchronous/concurrent programming, Knowledge of LLM usage within robotics context.

Unique opportunity to work at the cutting edge of robotics applied to real-world challenges.
Opportunity to enhance the capabilities of our robotic solutions and explore new solutions and approaches, unlocking new value to be delivered to our customers.

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