Staff Software Engineer, Learned & Hybrid Behavior Planning

Mountain View, CAPosted 7 days ago

Role Overview

Kodiak is hiring a Staff Software Engineer, Learned & Hybrid Behavior Planning. This is a full-time hybrid role, based in Mountain View. Part of Kodiak's Qa hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

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 has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.

We are looking for a Staff Software Engineer to help shape how learned models are integrated into behavior planning for autonomous driving. In this role, you will sit at the intersection of Planning and Machine Learning, working closely with ML engineers and autonomy teams to bring learned components into a production autonomy stack.

This is a high-impact role for someone who understands both the practical constraints of real-world planning systems and the opportunities enabled by modern learned models. You will help shape how ML improves autonomy behavior while ensuring that new capabilities are safe, measurable, debuggable, and deployable.

What You’ll Do

Lead Planning-side integration of learned models into the behavior planning stack.
Collaborate closely with ML teams on model improvements, requirements, evaluation, and deployment.
Work on learned planning components as well as other ML-driven planning signals, such as behavior classification, actor intent understanding, and data-driven decision-making.
Design integration strategies that balance learned components with existing heuristic planning systems.
Define validation, fallback, monitoring, and safety criteria for learned planning components.
Debug and analyze model behavior using simulation, logs, metrics, and real-world autonomy data.
Partner with cross-functional teams across Perception, ML, Planning, Simulation, Systems, and Safety.
Lead technical designs and mentor other engineers.

What We’re Looking For

Strong experience in autonomous vehicles, robotics, or a related autonomy domain.
Deep technical background in behavior planning, decision-making, or motion planning.
Strong software engineering skills with proficiency in C++. Python proficiency is a plus.
Experience working with heuristic or classical planning systems.
Experience integrating or developing learned behavior policies, behavior classification, trajectory prediction, or actor intent models.
Ability to reason about safety, system behavior, evaluation, and deployment risk.
Excellent cross-functional communication and technical leadership skills.

The pay range listed below reflects the base salary in our SF/Silicon Valley location, across several internal levels. Actual starting pay will be based on job-related factors including: work location, experience, relevant training, education, skill level and performance during interview. Total compensation at Kodiak includes base pay, equity, bonus and a competitive benefits package

California Pay Range

$240,000—$265,000 USD

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. Kodiak is committed to 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.

In alignment with its business operations, Kodiak adheres to all relevant statutes, regulations, and administrative prerequisites. Accordingly, roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny and eligibility for such positions may hinge on verification of a candidate’s residence, U.S. person status, and/or citizenship status. 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-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. If applicable, Kodiak may provide visa sponsorship for eligible candidates.

We use a third-party AI tool (Endorsed) to assist in the initial screening of applications. As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications. Final hiring decisions are made by our human recruitment team, and no automated system makes the ultimate decision regarding hiring. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. We began using Endorsed on January 1, 2026. You can review the independent bias audit report covering our use of Endorsed [here](https://endorsed.com/local-law-144). By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process. If you have any questions or would like to request a separate review of your application, please contact careers@kodiak.ai with "Separate Review Request" in the email subject line.

About Kodiak

Kodiak

QaHybrid

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Frequently Asked Questions

How do I apply for the Staff Software Engineer, Learned & Hybrid Behavior Planning position at Kodiak?

Use the Apply button above to submit your application directly to Kodiak. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Staff Software Engineer, Learned & Hybrid Behavior Planning role at Kodiak remote or in-office?

This is a hybrid role based in Mountain View. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.

What does a Staff Software Engineer, Learned & Hybrid Behavior Planning at Kodiak earn?

Kodiak has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Staff Software Engineer, Learned & Hybrid Behavior Planning role at Kodiak posted?

This role was posted on July 2, 2026 (7 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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