New Graduate Applied AI Engineer, Kodiak Robotics
Computer Vision
$135-170k
+ Equity + Biannual bonuses
Self-driving technology for long-haul trucks
Be an early applicant
Self-driving technology for long-haul trucks
201-500 employees
Be an early applicant
$135-170k
+ Equity + Biannual bonuses
201-500 employees
Company mission
Kodiak Robotics' mission is to carry freight forward—so people, partners, and the planet thrive.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
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.
Kodiak Robotics develops self-driving technology for long-haul trucks, providing wing mirrors built with sensors called Kodiak SensorPods. These sensors provide the technology necessary for the trucks to be driven safely and autonomously and have been designed to be replaced or serviced rapidly to minimize downtime.
Whilst the company’s most significant challenge will present itself as other self-driving truck providers, Kodiak Robotics has taken a unique approach by recognizing the high-maintenance nature of existing self-driving systems, innovating upon this through its easily replaceable SensorPods. Through this approach and several successful rounds of funding, the company aims to fill empty truck driving positions with safer AI drivers, whilst ensuring its technology is quick and simple to maintain.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2023
$75m
CONVERTIBLE
Nov 2021
$125m
SERIES B
Total funding: $240m
Company benefits
- 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
Company HQ
Mountain View, CA
Leadership
Don Burnette
(CEO)Experience as Co-founder of Otto. Software Technical Lead at Uber from 2016 to 2018.
Salary benchmarks
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