Staff Engineer - Robotics

Duties:

• The position shall provide Technical Engineering leadership for Computer Vision Machine Learning based application development projects
• Lead project teams and drive project execution, within acceptable cost, quality, and schedule
• Understand product requirements, prepare concepts/proposals, define execution plan, align stakeholders on delivery schedules
• Creates,
• analyzes technical requirements to
• determine the best technical solution for complex problems or projects of difficult scope
• Resolve software/schedule conflicts arising out of integration
• Facilitates communication with stakeholders for roadblocks, dependencies and ensures team stays productive
• Ensure quality deliverables from the team, perform design / code reviews, develop plans on test strategy
• Stay abreast of the latest technological changes in the areas of CVML and introduces the same to the team
• Contribute via technical papers , presentations in area of CVML as well as support the team in the same

Required:

• 12 to 15 years of excellent experience in the areas of Computer Vision & Machine Learning
• Deep knowledge & experience of:-
  • Image processing, Computer Vision, Machine Learning
  • Machine learning techniques, analysis, and algorithms
  • Object detection, tracking and recognition.
  • Mono & Stereo Camera Calibration & Imaging
  • Stereo Camera & Lidar 3D data processing, 2D and 3D Transformations
  • Building production-grade Neural Network models using Computer vision techniques
• Proficiency in: -
  • Python, C++
  • Image Processing and computer vision libraries like OpenCV
  • Programming with strong experience in Data structures, algorithms
  • Deep Learning fundamentals and experience with frameworks, such as TensorFlow, PyTorch, Caffe , Scikit
  • Common Data science tool kits,
  • Edge Compute - Embedded OS, Linux 

Desired :

• Experience in Robotics
• Sensor fusion of Camera, LIDAR, RADAR, GNSS etc.
• Experience working with AWS tools
• Experience with ETL tools, MLOps
• Experience of Deere Products and relevant domain

Education:

• Bachelors / Masters / PhD in Electronics / Computer Science Engineering or similar