New Grad Applied AI Engineer, Kodiak Robotics

• We are looking for a highly skilled New Grad Software Engineer with a focus on deep learning for computer vision applications to join us and solve real-world robotics problems
• Strong technical background
• BS, MS or PhD with academic or at least 1+ years industry/internship experience in designing and implementing deep neural networks
• You are a skilled software engineer with experience in Python/ C++ and strong problem-solving skills
• You are passionate about solving real-world robotics problems, and you have ideally worked on autonomous robots before
• You ideally also have a strong knowledge of data processing pipelines for training ML models in the cloud
• A team player
• You take ownership and work with the team to deliver exceptional results
• You are interested in the performance of the entire system across engineering disciplines
• Ability to build and iterate quickly
• You enjoy working fast and smart, and you are comfortable in the earlier stages of developing an algorithm from scratch
• Hands on
• You are not only passionate about ML research but also experienced working with production machine learning pipelines, from dataset collection and labeling to training and validation
• Great communicator
• You have experience writing clear, concise, and detailed documentation
• You can enable your colleagues to leverage the ML models resulting from your work in their algorithms and systems

• Be responsible for designing machine learning algorithms and implementing them in robust, efficient, and well-tested C++ and/or Python code
• Lead the development of deep neural networks to solve real-world robotics challenges such as lane detection, object detection and classification, sensor fusion, tracking, prediction, anomaly detection, and planning
• Work with camera, laser, radar, and ultrasound data and curate datasets for machine learning
• Set up automated training pipelines and develop data analytics tools to incrementally improve our performance on a growing dataset
• Collaborate closely with other experts on the team, including the planning and systems engineering team

• Remote-friendly work environment
• 401k
• Generous PTO policy
• Life insurance
• Assortment of medical (PPO/HMO/HDHP), dental, vision, and FSA plans
• Family-friendly company events
• Dog-friendly office
• Employee-driven fitness classes
• Beautiful, renovated facilities in Mountain View, CA and Lancaster, TX
• Free EV charging
• Trivia and board game nights

Total funding: $240m

Global supply chains rely on frictionless long-haul trucking freight networks, but the repetitive and stationary nature of the job has resulted in a lack of willing drivers. Whilst this has been partially resolved through the introduction of self-driving trucks, such systems are notoriously difficult to maintain which ultimately leads to significant downtime.