Principal Software Engineer – Machine Learning

Optimus Ride

  • Full Time

About Optimus Ride
Optimus Ride is an autonomous mobility service provider on a mission to drive the future of transportation. We develop and own the full AV tech stack and user experience–algorithms, software, hardware, and system integration–for autonomous, electric rides for communities near and far. We’re focused on driving innovation and delivering convenient, turnkey transportation services for master planned communities, corporate and academic campuses, and mixed use developments. We’re driven to create safe, sustainable, and equitable transportation solutions for all.

Optimus Ride is headquartered in the Boston Seaport District, not far from our old stomping ground at MIT. From the boardroom to the test track, our teammates (affectionately referred to as Optimists) bring deep industry and subject matter expertise, a collaborative and focused work ethic, and an optimistic outlook on the future of autonomous, sustainable, community-serving transportation.

The Role
Optimus Ride software engineers create the software at the heart of our vehicles and systems. Our software needs to process complex dataflows and make decisions with real world consequences. We are looking for engineers who bring deep expertise in enabling vehicles and robots to perceive and understand the world around them.

Our team is focused on a rapid path to market in order to maximize the benefits of self-driving technologies for all. To do this, we need our engineers to be versatile, have leadership qualities, and be enthusiastic about tackling problems across the full range of our systems. Your peers will cumulatively have decades of experience from places like Google X, SpaceX, iRobot, Rethink Robotics, and Draper Laboratories, and have built self-driving vehicles, electric vehicles, manufacturing robots, surgical robots, autonomous drones, and more. You will be creating new technologies through software development that integrates your areas of expertise to enable self-driving systems to be possible today.

 

Responsibilities

 

  • Create advanced perception systems that accurately perceive a self-driving vehicle’s environment using imaging and 3D sensors
  • Develop, test, debug, and maintain reliable, safe, and production quality code
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    Requirements

     

  • A proven record of developing commercially fielded machine learning solutions to computer vision problems
  • Expert-level skills across all aspects of deep learning neural networks: collect/curate and annotate very large datasets, design/customize network architectures, train & test, and optimize for real-time operation
  • At least five years industry experience writing production quality C++ code
  • MS or PhD in computer science or a related field, or equivalent practical experience
  • Excellent communication skills in written and verbal English
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    Bonus

     

  • Publications at CVPR, NIPS, ICML, ICCV, ICLR, etc.
  • Distributed computing infrastructure for neural network training
  • GPU/CUDA programming
  • Automotive or robotics industry background
  • (We are open to reviewing resumes of candidates who may not have these qualities yet, but demonstrate the potential to learn them on the job.)

     

     

     

    Optimus Ride provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
    Benefits and Working Environment
    At Optimus Ride, we strive to support our employees by offering competitive compensation, comprehensive benefits and a world class working environment that is centered around the team. We nurture creativity and provide expansive opportunities for growth and development.
    Optimus Ride provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.