Jobs at Berkshire Grey

Provides advanced technical support for robotic systems during commissioning and 24/7 customer operations. Diagnoses hardware, software, controls, Linux, network, and automation failures; analyzes logs and telemetry; develops integrations and support workflows; leads major incidents; coordinates engineering, field service, and customer teams; manages cases and corrective actions; validates AI-assisted diagnostics; and mentors engineers while improving system reliability and recovery times.

Leads a 15–20-person multidisciplinary hardware engineering organization developing robotic picking systems and electromechanical products. Oversees product development from concept through validation, production, deployment, and sustaining support. Partners with software, product, program management, operations, and supply chain teams; manages customer requirements, design reviews, safety compliance, manufacturing scale-up, reliability improvements, risk mitigation, and predictable execution. Supports customer engagements and travel to domestic and international sites.

Designs, prototypes, tests, and launches electrical systems for robotic automation products. Responsibilities span PCB and circuit design, industrial power systems, motors, sensors, safety controls, CAD documentation, troubleshooting, root cause analysis, production support, and deployment updates. The role supports the complete electrical design lifecycle from concept through production and field service, including integration of conveyors, robots, controls, and sensing technologies.

Leads architecture, technical direction, and hands-on development of robotic manipulation software. Develops motion planning, kinematics, control, multi-arm coordination, simulation, hardware integration, and distributed-system interfaces. Oversees testing, deployment, production support, troubleshooting, design reviews, and engineering standards while mentoring engineers and coordinating with multidisciplinary teams.

Develop learning-based robotics software for spatial reasoning, sequential decision-making, perception, planning, and manipulation. Build and evaluate models in simulation and on physical robotic systems, prototype solutions, improve reliability under uncertainty, and transition successful methods into products. The role includes collaborating with research partners, mentoring junior engineers, communicating technical priorities, and applying machine learning, real-time control, sensor data, and sim-to-real techniques to robotic packing and manipulation.

Designs, manages, and troubleshoots hybrid cloud and bare-metal infrastructure supporting robotic systems. Responsibilities include networking equipment management, cloud infrastructure optimization, Kubernetes and Terraform deployments, Linux administration, infrastructure automation, architecture planning, performance troubleshooting, security, and global deployments. The role also supports customers, evaluates technologies, improves processes, and participates in an on-call rotation.

Lead the development and standardization of conveyor architecture, reusable modules, simulation models, layout rules, and station interfaces for an industrial automation platform. Evaluate throughput, bottlenecks, buffering, costs, safety, serviceability, and operational performance through simulation and trade studies. Collaborate with controls, software, hardware, applications, and solutions architecture teams to validate designs, integrate PLC and system behavior, document standards, assess vendors, and mentor engineers.

Develop production-grade robotic manipulation software for motion planning, kinematics, control, execution, simulation, and multi-arm coordination. Integrate robotic capabilities with hardware and software systems, design APIs and services, support testing, and provide technical leadership and mentorship.

Develop and prototype computer vision and machine learning solutions for robotic trailer unloading. Train and adapt models for perception tasks such as object detection, segmentation, grasp estimation, depth estimation, and anomaly detection. Troubleshoot real robotic systems, evaluate emerging robotics advancements, transition prototypes to product teams, communicate technical priorities, mentor junior engineers, and provide technical leadership on key projects.

Develop and support industrial robotic automation systems throughout the product lifecycle, from concept through production and long-term support. Responsibilities include PLC programming, controls orchestration, functional safety, sensor and drive integration, industrial networking, distributed I/O, electrical design, system debugging, data analysis, source control, CI/CD, and control-system API development.

Leads presales design of intelligent warehouse automation solutions, including customer data analysis, requirements management, technical proposals, presentations, and proof-of-concept development. Defines solution architectures, technical requirements, feasibility assessments, and risk mitigation plans. Partners with Sales, Marketing, Engineering, Operations, and Product Management to identify applications, prioritize features, support deployment, and develop commercialization strategies. Travel of 25% or more is required.

The Senior Software Engineer will develop and support software for robotic manipulation, focusing on motion planning, kinematics, and integration with robotic systems, while providing mentorship to junior engineers.

Lead rapid prototyping of robotic automation systems from concept and CAD through fabrication, software integration, perception, motion planning, controls, testing, and iteration. Develop and debug Python/C++ and ROS/ROS2 code, integrate robot arms, sensors, and end effectors, bring up incomplete systems across mechanical/electrical/software boundaries, run experiments to validate designs, and coordinate with suppliers and customers to deliver working prototypes and early production concepts.

Lead mechanical design for new electromechanical products from concept through production. Own system-level requirements, design, prototyping, testing, and release using SolidWorks and PLM. Drive manufacturability, reliability, DFMEA, GD&T, and supplier collaboration; mentor junior engineers and support fielded systems.

Develop and prototype robotic learning solutions for manipulation tasks, extend simulation environments, collaborate with research partners, transition prototypes to product teams, mentor junior engineers, and communicate technical priorities to stakeholders to improve real-world robotic system capabilities.