Perception Intern, Kodiak Robotics

Fall 2023

Salary not provided

The monthly range for this intern position is $9,166-$10,000. Our salary ranges are determined by role, level and location

Python

C++

San Francisco Bay Area

Office located in Mountain View, CA

Self-driving technology for long-haul trucks

Job no longer available

Self-driving technology for long-haul trucks

201-500 employees

B2BArtificial IntelligenceLogisticsFreightSupply ChainAutomation

Job no longer available

Salary not provided

The monthly range for this intern position is $9,166-$10,000. Our salary ranges are determined by role, level and location

Python

C++

San Francisco Bay Area

Office located in Mountain View, CA

201-500 employees

B2BArtificial IntelligenceLogisticsFreightSupply ChainAutomation

Company mission

To carry freight forward - so people, partners, and the planet thrive.

Job

Company

Role

Who you are

Strong technical background. You are currently pursuing an MS or Ph.D. and have hands-on experience in designing and implementing deep neural networks and other computer vision algorithms. You are a skilled software engineer with experience in 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 perception intern to join us and solve real-world robotics problems
Be responsible for designing perception 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 to build and evaluate real world perception systems
Set up automated training pipelines and develop data analytics tools to improve our performance
Start Date: September 2023
Our internship program is 12-16 weeks; the end date is flexible based on individual needs
Location: Mountain View, CA
Housing: interns are responsible for housing

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.

odiak 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.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

21% employee growth in 12 months

Glassdoor (3.5)

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 & Founder)

Experience as Co-founder of Otto. Software Technical Lead at Uber from 2016 to 2018.

Salary benchmarks

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