Kodiak Robotics, Inc. was founded in 2018 and has become the trusted world leader in autonomous ground transportation committed to a safer and more efficient future for all. The company is developing an industry-leading artificial intelligence (AI) powered technology stack purpose-built for driverless military and long-haul trucking applications. Kodiak’s unique modular hardware approach integrates sensors into a streamlined sensor-pod structure that optimizes for perception, scalability, and maintainability. The company autonomously delivers freight daily for its commercial customers across the Sun Belt states and for Atlas Energy in the Permian Basin. Kodiak also leverages its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense.
We are looking for a candidate who can support Kodiak’s Probabilistic Risk Assessment efforts to quantify and manage the Kodiak Autonomy System’s SOTIF risk. An ideal candidate will have a deep understanding of probabilistic modeling, experience working with Bayesian statistics, and familiarity with verification and validation of autonomous systems. This will be used to support our safety claims about safe perception, motion planning, and control for autonomous robots so that we can ethically and safely deploy autonomous trucks to save lives and transform the freight industry.
The salary range for this full-time position is $180,000-$235,000 + bonus + equity + benefits. Actual salary ranges will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.
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.
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At Kodiak Robotics, Inc., we’re on a mission to revolutionize the freight industry with our autonomous ground transportation technology. As a Probabilistic Risk Assessment Engineer in our vibrant Mountain View office, you’ll dive deep into probabilistic modeling and Bayesian statistics, essential for quantifying the safety of our cutting-edge autonomy systems. Your role will involve developing Python-based probabilistic risk models focused on SOTIF risk, ensuring that our autonomous vehicles can safely navigate and deliver. Collaboration is key, as you'll work closely with both our autonomy software and hardware developers to refine these models regularly. By analyzing real-world driving data with your data science teammates, you will help construct thorough risk assessments that lead to safer autonomous driving experiences. If you have a strong background in Bayesian statistics, along with proficiency in Python—especially using libraries like numpy and scipy—you might just be the person we are searching for. In addition to rigorous model development, you’ll also be instrumental in identifying risk sources, leading project efforts that could transform the autonomous trucking industry. Your contributions will not only push technological boundaries but also play a vital role in saving lives and enhancing safety. Join us in this exciting challenge at Kodiak Robotics, where innovation meets a commitment to safety and efficiency. We offer a competitive compensation package, flexible PTO, and many fantastic perks, all in a vibrant and inclusive workplace culture. Ready to drive the future with us?
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