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Charles River Analytics

Software Engineer - Robotics & Computer Vision (Pipeline Opportunity)

Posted 3 Days Ago
In-Office
Cambridge, MA
Junior
In-Office
Cambridge, MA
Junior
Develop and implement software solutions in computer vision and machine learning, working with various domains and collaborating with interdisciplinary teams.
The summary above was generated by AI

At Charles River Analytics, we develop leading-edge solutions and technology to address the world’s most complex challenges. Our team of innovative entrepreneurs drives advancements in AI, robotics, smart sensing, and human-centered computing. Our research and development efforts not only propel government programs forward but also unlock new opportunities in the commercial sector. As a 100% employee-owned company, we foster a culture of participation, innovation, and accountability among our staff. We take immense pride in our ability to attract and retain the industry's most talented and creative problem solvers.

This is an exciting opportunity for an entrepreneurial-minded software engineer with an interest in developing cutting-edge solutions to America’s (and the world’s) most challenging problems. You will work with our science and interdisciplinary engineering teams to determine the requirements for a range of different problems and domains, to conceptualize innovative and scientifically rigorous methods for solving those problems, and to assist in implementing these designs in software in a way that can be communicated to our customers and is intuitive to end-users. This position is best suited to an independent thinker with an entrepreneurial drive, who has a track record of self-motivated investigation and tinkering, who has a passion for ideation and pushing technical boundaries, and who can connect technical accomplishments to larger transition and commercial opportunities.

How you will make a positive impact:

  • Implement robust, reusable software with a focus in computer vision/machine learning to support a wide variety of applications, such as object detection/tracking, image manipulation and processing, across a variety of domains: maritime, space, robotics, drone operations
  • Optimize framework-based (e.g., PyTorch, TensorFlow) deep learning models for fast inference performance
  • Contribute technically to projects, including developing architectures and detailed designs, reviewing pull requests, and generating content for proposals and reports
  • Interact with customers (e.g., at project kickoff, at field exercises, etc.), users, and domain experts to analyze and understand challenges and to design and develop engineering solutions accordingly
  • Work with team members (scientists and other engineers) and customers to understand project goals and translate those goals into technical requirements
  • Promote and scale technical capabilities towards larger company efforts, transition, and commercialization

What you will need:

  • Bachelor's degree in Computer Science, Computer/Electrical Engineering, or related field
    • Equivalent work experience is also acceptable
  • 2 or more years of demonstrable experience (or a Master’s degree with a relevant field) with the following (level will be informed by experience):
    • A modern programming language such as Python and C++
    • Experience with some of the following: object detection, object tracking, vSLAM, visual odometry, segmentation, image denoising, and/or other subfields of computer vision
  • Experience with software development and source control best practices (e.g., testing, branching, code reviews)
  • Experience with containerization
  • Experience working in, building and setting up Linux computer systems
  • Able to lift 50 lbs
  • Willingness to occasionally travel within the US to support on-site integration and testing with customers
  • Willingness to assist in physical installation, fabrication, testing, and troubleshooting where needed (e.g., in operationally relevant ground environments like forests, urban settings, etc. and marine environments such as on-board boats)
  • U.S. Citizenship
  • The selected candidate will be expected to possess or apply for a U.S. Government Security Clearance upon being hired
  • Ability to work in a Hybrid onsite/remote schedule (60% in person, 3 days on site per week)

Experience that will make you stand out:

  • Experience with tools like OpenCV and Robot Operating System (ROS)
  • Experience working with physical systems (i.e., processing live sensor data, operating physical robots)
  • Experience with multi-perspective camera fusion (stereo vision, overlapping fields of view)
  • Experience with deep learning tools such as TensorFlow and PyTorch
  • Experience developing both research and production-quality software
  • Experience with data engineering and managing data sets
  • Experience with computer networking and network programming
  • Experience developing for and/or operating uncrewed vehicles
  • Experience using electrical test equipment (multimeters, and oscilloscopes)

Why Charles River? 

Charles River Analytics is a 100% employee-owned company that thrives on collaboration and values each team member. We provide competitive compensation including profit sharing, bonuses, and an attractive benefits package. Our comprehensive benefits include 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance. We offer generous paid time off, paid maternity/paternity leave, tuition reimbursement, a monthly gym allowance, and a casual work environment. We have free parking on site and are conveniently accessible by public transportation. At Charles River, we prioritize and truly value work-life balance, including our offer of a flexible hybrid schedule (60% onsite / 40% remote). Join our team of employee-owners to solve important problems—for our military, our homeland, our society, and our planet.

Top Skills

C++
Opencv
Python
PyTorch
Robot Operating System (Ros)
TensorFlow
HQ

Charles River Analytics Cambridge, Massachusetts, USA Office

625 Mt. Auburn St., Cambridge, MA, United States, 02138

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