Software Engineer, Kodiak Robotics
Controls
$175-220k
+ Bonus + equity
Self-driving technology for long-haul trucks
Open for applications
Self-driving technology for long-haul trucks
201-500 employees
Open for applications
$175-220k
+ Bonus + equity
201-500 employees
Company mission
Kodiak Robotics' mission is to carry freight forward—so people, partners, and the planet thrive.
Role
Who you are
- A strong background in robotics, controls, optimization, and mathematics (MS, PhD, or equivalent experience)
- Developed, tested, and tuned controllers for mobile autonomous robots, ideally trucks, cars, or flying vehicles
- Performed system identification, modeling, simulation, or other characterization for systems with complex dynamics
- A strong theoretical foundation paired with practical experience in controls, system modeling, and/or redundant architectures
- A focus on end-to-end vehicle safety
- Software development experience writing production-level C or C++
Desirable
- Experience with software design and implementation in safety-critical domains (e.g. automotive, aerospace, medical, etc)
- Written low-level drivers for software/hardware interfacing using protocols such as CAN or ethernet
- Written efficient code running on resource-constrained embedded systems with a real-time operating system
- Experience with formal verification methods, writing requirements, and systems engineering processes
- Comfortable with Python, Matlab/Simulink, or other simulation/analysis tools used in feedback system design
What the job involves
- We are looking for an experienced Controls Software Engineer who is passionate about safety-critical systems to join our Motion Planning & Controls team
- Be responsible for designing and implementing our feedback, control, and actuation strategies using both established & novel techniques
- Architect, develop, and test reliable, redundant, and safety-critical software that controls fully-loaded trucks driving on the road
- Characterize the vehicle platform (e.g., steering, braking, throttle/engine management, dynamics) to develop models that can be used for precise motion planning, simulation, and controls
- Work on fundamental problems in redundant actuation, degraded operation, and fail-safe control
- Collaborate with other teams at Kodiak (e.g. hardware, motion planning, and systems engineering) to deliver a robust vehicle control architecture (for example: requirement specifications, test plans, test documentation, and implemented testing at all levels of integration)
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Insights
21% employee growth in 12 months
Company
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
Funding (last 2 of 3 rounds)
Sep 2023
$75m
CONVERTIBLE
Nov 2021
$125m
SERIES B
Total funding: $240m
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