Senior Software Engineer – Computer Vision & Deep Learning

Cambridge, MA

Charles River Analytics Inc.

Charles River Analytics offers innovative solutions through innovative business intelligence software and systems.

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Charles River Analytics creates solutions and technology to tackle the world’s most challenging problems. Our team of technological entrepreneurs works together to push at the forefront of enhanced AI, robotics, smart sensing, and human-centered computing. The resulting research and development help to continuously advance government programs and discover new possibilities in the commercial marketplace. We are a 100% employee-owned company, encouraging participation, innovation, and responsibility from our entire staff. At Charles River, we take great pride in our success at attracting and retaining the most talented and creative problem-solvers in our field. Are you interested in being an Employee Owner at one of Boston's Best Places to Work? If this sounds like you, then we’d love to hear from you!

This is an exciting opportunity for an entrepreneurial-minded and experienced software engineer team lead with an interest in developing, leading, and overseeing cutting-edge solutions to America’s (and the world’s) most challenging problems. We are looking for candidates that want to continue to use their technical skills as well as provide technical leadership to projects and across projects. 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.

If you have pursued non-work or non-school related projects simply because you like building things and are not afraid of the challenges associated with exploring and learning outside of your comfort zone, we want to hear from you. This is a customer- and stakeholder-facing engineering role with the potential for becoming a key part of our engineering (and division) leadership.

How you will make a positive impact:

  • Mentor software engineers with a variety of skills and areas of expertise across multiple non-overlapping projects addressing problems in varying domains
  • Lead individual projects, across groups of projects, and mentor emerging project team leads in managing technical work on their projects, including schedules, milestones, and tasks
  • Develop clean, reusable computer vision algorithms to support a wide variety of applications, such as detection/tracking, image pre-processing, deep learning, and robotics
  • Work with team members (scientists and other engineers) to optimize framework-based (e.g., PyTorch, Caffe) deep learning models for fast inference performance
  • Contribute technically in other ways to projects, including reviewing pull requests, developing designs, architectures, and other more
  • Mentor team members on design, systems, and implementation decisions which maintain the right balance of forward-thinking, project requirements, and scope, while avoiding over-engineering
  • Work with internal team members and customers to understand project goals and translate those goals into technical requirements
  • Interact with customers (e.g., at project kickoff), users, and domain experts to analyze and understand challenges and to design and develop engineering solutions accordingly
  • Contribute technical content to proposals and reports
  • Maintain an understanding of technical capabilities of individual team members and help to assign roles based on project needs and engineer needs
  • Promote and scale technical capabilities towards larger company efforts, transition, and commercialization

To be successful in this role with us, you'll at least need:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field
    • The ideal candidate would possess a master’s degree in one of those fields
  • Demonstrated recent and hands-on technical experience with most or all of the following:
    • Computer Vision algorithms in C++ and/or Python
    • Deep learning tools such as TensorFlow and PyTorch
    • GPU languages such as CUDA/OpenCL/OpenGL/WebGL
  • Experience leading and overseeing technical teams on small projects and coordinating across small technical teams
  • Experience with systems engineering
  • Experience developing and/or overseeing both research and production-quality software
  • Experience with source control best practices (branching, pull requests, etc.)
  • Experience with CI/CD pipelines and modern DevOps/DevSecOps
  • Experience with containerization
  • Willingness to interact with and present to clients in areas relevant to your expertise
  • Experience writing technical documentation (e.g., written status reports, technical spec sheets, contributions to journal articles and/ or conference proceedings)
  • Willingness to work at Charles River Analytics headquarters in Cambridge, MA
  • Travel may be required, but rare during COVID (estimated at less than a week per quarter); may expand as that situation improves
  • U.S. Citizenship
  • The selected candidate will be expected to possess or apply for a U.S. Government Security Clearance upon being hired

Why CRA?

Charles River Analytics is a 100% employee-owned company that thrives on collaboration and values each employee-owner. We offer employee ownership, competitive compensation plus bonus and profit-sharing, with an attractive benefits package including 100% employer-paid medical and dental insurance, as well as vision, life, and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We offer tremendous flexibility and value work-life balance. We are also accessible by public transportation

Tags: Caffe CI/CD Computer Science Computer Vision CUDA Deep Learning DevOps Engineering GPU Pipelines Python PyTorch Research Robotics Security TensorFlow

Perks/benefits: Career development Competitive pay Health care Insurance Medical leave Parental leave Salary bonus

Region: North America
Country: United States

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