B Garage
Sr. Computer Vision Engineer
B Garage, San Jose, California, United States, 95199
About B GARAGE
B GARAGE was founded in 2017 by a Ph.D. graduate from Stanford University. After having spent over five years researching robotics, computer vision, aeronautics, and drone autonomy, the founder and team set their minds on building a future where aerial robots would become an integral part of our daily lives without anyone necessarily piloting them. Together, our common goal is to redefine the user experience of drones and to expand the horizon for the use of drones.
Our Story and Technology
Amazing technology with $20M funded, B GARAGE (TechCrunch LINK)
Key ResponsibilitiesDesign and develop perception for aerial robot and inventory recognition for warehouses by leveraging computer vision and deep learning techniquesAid the computer vision team to deliver prototype and product in a timely mannerCollaborate with other teams within the companyMinimum Qualifications
M.S. degree in computer science, robotics, electrical engineering, or other engineering disciplines10+ years of experience with computer vision and machine learningProficient in image processing algorithms and multiple view geometry using cameraExperience with machine learning architectures for object detection, segmentation, text recognition etc.Proficient with ROS, C++, and PythonExperience with popular computer vision and GPU frameworks/libraries (e.g., OpenCV,TensorFlow, PyTorch, CUDA, cuDNN etc.)Proficient in containerization technologies (Docker, Kubernetes) and container orchestration technologiesExperience in cloud computing platforms (AWS, GCP, etc.)Experience with robots operating on real-time onboard processingSelf-motivated person who thrives in a fast-paced environmentGood problem solving and troubleshooting skillsLegally authorized to work in the United StatesOptional Qualifications
Ph.D. degree in computer science, robotics, electrical engineering, or other engineering disciplinesExperience with scene reconstruction, bundle adjustment and factor graph optimization librariesExperience with Javascript and massively parallel cloud computing technologies involving Kafka, Spark, MapReducePublished research papers in CVPR, ICCV, ECCV, ICRA, IROS, etc.Benefits & Culture
Competitive compensation packagesMedical, dental, vision, life insurance, and 401(k)Flexible vacation and paid holidaysComplimentary lunches and snacksProfessional development reimbursement (online courses, conference, exhibit, etc.)Recruitment Process
Recruiter Screen > Technical Interview 1 > Coding Assessment > Technical Interview 2 > Onsite Interview
B GARAGE stands for an open and respectful corporate culture because we believe diversity helps us to find new perspectives.
B GARAGE ensures that all our members have equal opportunities - regardless of age, ethnic origin and nationality, gender and gender identity, physical and mental abilities, religion and belief, sexual orientation, and social background. We always ensure diversity right from the recruitment stage and therefore make hiring decisions based on a candidate's actual competencies, qualifications, and business needs at the point of the time.
B GARAGE was founded in 2017 by a Ph.D. graduate from Stanford University. After having spent over five years researching robotics, computer vision, aeronautics, and drone autonomy, the founder and team set their minds on building a future where aerial robots would become an integral part of our daily lives without anyone necessarily piloting them. Together, our common goal is to redefine the user experience of drones and to expand the horizon for the use of drones.
Our Story and Technology
Amazing technology with $20M funded, B GARAGE (TechCrunch LINK)
Key ResponsibilitiesDesign and develop perception for aerial robot and inventory recognition for warehouses by leveraging computer vision and deep learning techniquesAid the computer vision team to deliver prototype and product in a timely mannerCollaborate with other teams within the companyMinimum Qualifications
M.S. degree in computer science, robotics, electrical engineering, or other engineering disciplines10+ years of experience with computer vision and machine learningProficient in image processing algorithms and multiple view geometry using cameraExperience with machine learning architectures for object detection, segmentation, text recognition etc.Proficient with ROS, C++, and PythonExperience with popular computer vision and GPU frameworks/libraries (e.g., OpenCV,TensorFlow, PyTorch, CUDA, cuDNN etc.)Proficient in containerization technologies (Docker, Kubernetes) and container orchestration technologiesExperience in cloud computing platforms (AWS, GCP, etc.)Experience with robots operating on real-time onboard processingSelf-motivated person who thrives in a fast-paced environmentGood problem solving and troubleshooting skillsLegally authorized to work in the United StatesOptional Qualifications
Ph.D. degree in computer science, robotics, electrical engineering, or other engineering disciplinesExperience with scene reconstruction, bundle adjustment and factor graph optimization librariesExperience with Javascript and massively parallel cloud computing technologies involving Kafka, Spark, MapReducePublished research papers in CVPR, ICCV, ECCV, ICRA, IROS, etc.Benefits & Culture
Competitive compensation packagesMedical, dental, vision, life insurance, and 401(k)Flexible vacation and paid holidaysComplimentary lunches and snacksProfessional development reimbursement (online courses, conference, exhibit, etc.)Recruitment Process
Recruiter Screen > Technical Interview 1 > Coding Assessment > Technical Interview 2 > Onsite Interview
B GARAGE stands for an open and respectful corporate culture because we believe diversity helps us to find new perspectives.
B GARAGE ensures that all our members have equal opportunities - regardless of age, ethnic origin and nationality, gender and gender identity, physical and mental abilities, religion and belief, sexual orientation, and social background. We always ensure diversity right from the recruitment stage and therefore make hiring decisions based on a candidate's actual competencies, qualifications, and business needs at the point of the time.