Kodiak Robotics

Staff Software Engineer, Controls

Mountain View, CA · Staff+

Sponsorship not specified$190k-$230kDetected 5 days ago

PythonC++MATLABSpringIntellectual PropertyEmbedded SystemsSystems EngineeringRoboticsSimulink

About the role

The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector.
In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer.
Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview.

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
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)
Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.
At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited.

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
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++

Competitive compensation package including equity and biannual bonuses
Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
Flexible PTO and generous parental leave policies
Long Term Disability, Short Term Disability, Life Insurance
Wellbeing Benefits
Headspace, One Medical, Gympass, Spring Health
Commuter, FSA, Dependent Care FSA, HSA
Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package

Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all.
The company delivers freight daily for its customers across the southern United States using its autonomous technology.
We are looking for an experienced Controls Software Engineer who is passionate about safety-critical systems to join our Motion Planning & Controls team.
As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications.
By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process.

equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

Should the position require, and Kodiak determines that a candidate's residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-rel

This listing is sourced directly from Kodiak Robotics's careers page and normalized into a canonical job model.