The company
Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit
www.outrider.ai
The role
We’re searching for a computer vision and machine learning engineer with at least 3 years experience developing algorithms and training models for one of the following: object detection, tracking, segmentation, pose estimation, and classification of obstacle types (vehicle, truck, pedestrian, etc.).
The Engineer, Computer Vision & Machine Learning, will join a team that is developing the next-generation perception stack for The Outrider System. The team is working on interesting and challenging problems in pose estimation and object detection using LIDAR, RADAR, vision, and GNSS/INS.
The engineer in this role will help drive the development of perception capabilities by owning the full development lifecycle model, from dataset curation and model development to integration with the perception pipeline.
The Engineer, Computer Vision & Machine Learning will report to the Manager of Machine Learning and develop perception-based software capabilities through all phases of Outrider's pilot and deployment programs. This position plays an essential role in helping deliver a reliable, profitable, performant, safety-critical system -- it offers a very talented software engineer the chance to help develop a market-defining enterprise product that combines autonomous vehicle technology with a software-as-a-service (SaaS) business model.
The ideal candidate will embrace our goal to drive zero-emission, self-driving vehicle adoption, and help us realize our potential to define, build, and lead a new category of robotic automation for the enterprise.
Duties and responsibilities
- Develop and train models for applications such as object detection, tracking, classification, segmentation, and pose estimation
- Evaluate model performance
- Incorporate models in perception algorithms
- Integrate models into production-vehicle perception systems
- Maintain training, validation, and testing sets across customer sites and weather conditions
- Be responsible for the full software engineering lifecycle: requirements, design, source code implementation, unit test, integration, and system test
- Travel and perform fieldwork, depending on initial customer locations (up to 10%)
Required qualifications
- 3+ years of professional experience training, evaluating, and deploying models for object detection, segmentation, and pose estimation with a deep learning framework such as PyTorch or Tensorflow
- 3+ years of professional C++ and Python experience
- Experience working on a team in a Linux environment and targeting embedded deployment
- Masters degree in computer science or relevant field with exposure to classic and modern computer vision techniques
- Experience with at least one of the following: vision, LIDAR, radar, or thermal sensing technology
Ideal qualifications
- AWS experience with S3, SQS, Lambda, DynamoDB, and EC2
- Experience with docker
- ROS / software for ground robotic systems
- Experience with embedded computer vision
- Prior experience designing annotation ontologies and working with data labeling vendors
- FOSS libraries/frameworks such as OpenCV, the Point Cloud Library (PCL), and similar packages
- FOSS tools supporting software engineering, such as CMake, continuous integration packages, the Google test framework and others
- PhD and relevant publications and patents
At Outrider, we believe in cultivating an environment where there is diversity of perspectives, experiences, and knowledge with the expectation that we thrive in an inclusive environment. Outrider is committed to a workforce where everyone's opportunities are limitless regardless of race, national origin, gender, age, religion, disability, veteran status, or any others that are protected by law.
To protect yourself against the increasing number of recruiting scams, please make sure that you are communicating with Outrider Technologies, Inc. or one of its employees. The only way to communicate with us is through our corporate website at www.outrider.ai, through corporate emails utilizing our domain name of @outrider.ai, and through our job board at jobs.lever.co/outrider. Be vigilant when checking domains because imitators often make very small changes to trick the eye. Additionally, please know that Outrider does not use text messaging or public messaging platforms, such as Telegram or Whatsapp, to communicate with candidates and Outrider will never ask an employment candidate for financial information or for payment of any kind.
