Perception Research Engineer

2 Months ago • 1-3 Years • Research & Development • Undisclosed

About the job

Job Description

RETHINK MANUFACTURING  

The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next.  

Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you. 

ABOUT THE ROLE

As a Perception Research Engineer in the Robot Perception team at Bright Machines, you will be a hands-on contributor to the development and deployment of industrial strength robot-based automation with 3D-vision system for navigation and visual-validation on the Bright Robotic Cells.

As a member of this team, you will develop, maintain and improve the Bright Machines Perception platform and applications. The platform provides the core components & tools needed to support experimentation, verification, monitoring and deployment of 3D Vision and ML models in production. You will design, develop highly automated verification and validation pipelines, with Bright Robots in the loop, to help release features of highest quality using Agile best practices. You will have the opportunity to work with the service engineering team to deploy these advanced vision-based solutions and work closely with the both internal and external stake holders to ensure successful roll-out of our products, as-well-as help define and influence the future product roadmap.

WHAT YOU WILL BE DOING

    • Develop, maintain and improve the Bright Machines Perception platform and applications.
    • Integrate and verify algorithms and functional features, developing software automation pipelines/tools to execute tests, collect and analyze data
    • Implement and optimize current and new algorithms for navigation and inspection for high performance & running on accelerated compute
    • Developing scenarios to test accuracy and performance of Robot Perception software using hardware and software in the loop testing environments
    • Communicating with developers, mechanical and electrical engineers to proactively identify problems and gaps in test coverage and documentation
    • Developing clear and concise test reports
    • Qualifying each release of Robot Perception team's software for deployment to the microfactories

WHAT WE WANT TO SEE

    • Master's degree in Computer Science, PhD preferred
    • 1-3 years of relevant experience
    • Programming language experience with Python and/or C++
    • Experience with ML framework, Pytorch preferred
    • Expertise in machine vision and sensor calibration
#LI-DNI

BE EMPOWERED TO CHANGE AN INDUSTRY 

We’re looking for people who believe they can personally help modernize a global industry and want to work alongside passionate teammates who share their vision. As a global company working toward a common goal, we have a highly collaborative and inclusive approach to work, striking a balance between celebrating team success and focusing on individual growth.  

We exist to transform the way things are made. Join us on the journey.  
 
Bright Machines was named a “Technology Pioneer” by the World Economic Forum, one of “America’s Most Promising Artificial Intelligence Companies” by Forbes, and an Inc. “Best in Business” winner.  
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About The Company

San Francisco, California, United States (On-Site)

San Francisco, California, United States (Hybrid)

California, United States (On-Site)

San Francisco, California, United States (Hybrid)

Cork, County Cork, Ireland (On-Site)

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