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Job DescriptionJob DescriptionSalary: Base salary range $162k-200k
About the Job
Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, and logistics. Our technology automates complex pick, pack, and sort operations.
As part of the Research & Advanced Development group, you will develop new approaches to solving challenging manipulation problems for real-world robotics systems, allowing them to understand and interact with their environment in unprecedented ways. Your work will contribute to enhancing the capabilities of our robotic solutions and explore new solutions and approaches, unlocking new value to be delivered to our customers. This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges.
Responsibilities
Develop robotic learning solution prototypes to improve our robots ability to solve increasingly complex tasks at unprecedented speeds
Quickly prototype solutions, creating demos for stakeholders and visitors
Serve as subject matter 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 applicability to our challenges
Collaborate with external research partners to find solutions for BGs problem space
Assist with mentorship of more junior engineers or interns
Communicate technical priorities and status
Minimum Qualifications:
Masters degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field.
6+ 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
Provide technical leadership on key projects
Qualifications:
PhD in Robotics, Machine Learning, Computer Science or a closely related field.
Demonstrated technical proficiency in robot manipulation learning, such as reinforcement learning or imitation learning
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. 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
Possessing some of these qualifications is great to have but not required and should not discourage applicants from applying.
Why Berkshire Grey?
Opportunity to work with cutting-edge AI-powered robotic solutions that are transforming the supply chain and logistics industry.
A culture of innovation and collaboration, with a commitment to professional development and growth.
Competitive compensation and comprehensive benefits package.
6110-2504TK
About the Job
Berkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, and logistics. Our technology automates complex pick, pack, and sort operations.
As part of the Research & Advanced Development group, you will develop new approaches to solving challenging manipulation problems for real-world robotics systems, allowing them to understand and interact with their environment in unprecedented ways. Your work will contribute to enhancing the capabilities of our robotic solutions and explore new solutions and approaches, unlocking new value to be delivered to our customers. This position offers a unique opportunity to work at the cutting edge of robotics applied to real-world challenges.
Responsibilities
Develop robotic learning solution prototypes to improve our robots ability to solve increasingly complex tasks at unprecedented speeds
Quickly prototype solutions, creating demos for stakeholders and visitors
Serve as subject matter 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 applicability to our challenges
Collaborate with external research partners to find solutions for BGs problem space
Assist with mentorship of more junior engineers or interns
Communicate technical priorities and status
Minimum Qualifications:
Masters degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field.
6+ 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
Provide technical leadership on key projects
Qualifications:
PhD in Robotics, Machine Learning, Computer Science or a closely related field.
Demonstrated technical proficiency in robot manipulation learning, such as reinforcement learning or imitation learning
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. 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
Possessing some of these qualifications is great to have but not required and should not discourage applicants from applying.
Why Berkshire Grey?
Opportunity to work with cutting-edge AI-powered robotic solutions that are transforming the supply chain and logistics industry.
A culture of innovation and collaboration, with a commitment to professional development and growth.
Competitive compensation and comprehensive benefits package.
6110-2504TK