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RFA Engineering Software Engineer - Machine Vision in Des Moines, Iowa

RFA Engineering (www.rfamec.com) is seeking Software Engineering talent in the field of Robotics, Perception, Vision Processing and Machine Learning to architect, develop and integrate new intelligent features into the next generation of agricultural and off-highway equipment. From this midwestern location, you could work as part of a global team of world-class engineers and researchers that are leading the implementation of autonomous and semi-autonomous technology in their industry.

This position is based at our client’s Des Moines based R&D center where you would be welcomed by our team of similarly skilled employees which includes our own leadership, training, team building and mentoring support.

Responsibilities

  • Develop vehicles, systems, and sub-systems to enable autonomous and automated assist methods to improve machine productivity, comfort, and safety.

  • Perform independent and team research and development involving architecture, coding, simulation, calibration, validation, for systems that require high levels of reliability.

  • Collaborate with diverse team members in a wide range of disciplines including Robotics, Control Engineering, Machine Learning, Computer Vision, Software Engineering, and Systems Engineering.

  • Develop novel algorithms and machine learning schemes for object detection, classification, tracking and prediction using stereo camera, radar, lidar, etc.

  • Develop vision and navigation systems that are robust to dynamically changing environmental conditions such as lighting, weather conditions, airborne dust and debris, varying vegetation and crop conditions while operating in previously un-mapped and challenging terrain.

  • Develop 3D map reconstruction algorithms using data from cameras, GNSS, and IMU

  • Perform sensor and system calibration to validate all systems and algorithms using both simulations and test vehicles.

  • Explore and develop new methods for improving and optimizing computational throughput and performance of technologies including CPU, GPU and FPGA.

  • Interface with embedded development teams to support overall vehicle architecture.

  • Assist with the development and maintenance of specialized robotics software tools.

  • Participate in reviews with peers and internal project stakeholders.

    Required Experience

  • BS/MS or PhD in Robotics, Computer Science, Software, Electrical, Computer or Agricultural Engineering or a related field.

  • Demonstrated experience and familiarity with image processing and computer vision technology, especially 3D vision.

  • Programming and software design skills to support vision and perception development.

  • Experience with vision-based sensors such as LIDAR, radar, and cameras.

  • Excellent analytical and program solving skills are required.

  • Strong written and oral communication skills are required.

  • We are looking for goal oriented candidates with passion and motivation to continuously learn and overcome obstacles.

    Desired Experience

  • C++ Experience including Qt, Boost, OpenCV.

  • Experience with real time embedded Linux.

  • Experience using "classical" and Deep Learning approaches to vision and perception.

  • Knowledge of GPU and FPGA for image processing and/or machine learning.

    Benefits

  • Health, Dental, Vision, Disability and Life Insurances

  • Retirement Savings Account (Traditional 401k & Roth 401k)

  • Flexible Spending Plans for Medical Expenses and Dependent Care

  • Quarterly Bonus System

  • Paid Holidays and Time Off (PTO)

    About RFA Engineering

    RFA Engineering (www.rfamec.com) has provided engineering services to industry leading clients since 1943. Our primary focus is product development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, a satellite location in Dubuque, IA, and at numerous client sites throughout the U.S.

    Equal Opportunity and Veteran Friendly

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