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Senior Autonomy Engineer

Join Kodiak Robotics as a Senior Autonomy Engineer to lead safety strategies in autonomous trucking systems.

Location
Mountain View, CA
Compensation
$190k–$230k/yr
Level
senior
Type
full time · On-site

Posted by employer 6 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 16 hours ago

AI in the day-to-day

The company leverages AI-powered technology for autonomous trucking and safety analysis.

Requirements

Education
Master's degree
Visa
Sponsorship available

Not disclosed in this posting: years of experience.

Benefits

401k Match Commuter Benefits Unlimited PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

In the role of Senior Autonomy Engineer at Kodiak Robotics, the individual will focus on enhancing the safety of autonomous trucking systems through rigorous analysis and innovative problem-solving. Key skills include proficiency in C++ and a strong foundation in engineering principles, particularly in kinematics and system modeling. This position is ideal for experienced professionals with advanced degrees in technical fields who are comfortable tackling complex safety challenges in a fast-paced environment. Kodiak's commitment to pioneering autonomous technology positions this team at the forefront of the industry.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Kodiak Robotics's careers page October 27, 2026.
  • Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
  • Starts above 53% of 202 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 70 companies). See Python salary trends
  • Python appears in 52.3% of 551 comparable senior ai/ml roles in United States; Kalman filtering appears in 0.2% of 551 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Autonomy Engineer role remote?
No — this is an on-site role in Mountain View, CA.
What's the salary range?
Kodiak Robotics lists $190,000–$230,000 for this role.
Where is the role based?
Kodiak Robotics is hiring for this position in Mountain View, CA.
What's the tech stack?
Joblaze extracted these technologies from the posting: C++, Computer Vision, Control Systems, DO-178, FMEA, FTA.
Does Kodiak Robotics sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Kodiak Robotics targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Autonomy Engineer role at Kodiak Robotics.

From the original posting

Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move. Its Kodiak Driver is a vehicle-agnostic autonomous driving system that combines AI-powered software with modular hardware. Today it operates in long-haul trucking, industrial trucking, and defense. In 2024, Kodiak launched commercial Driver-as-a-Service operations with no one in the cab, and plans to launch driverless long-haul service between Dallas and Houston by the end of 2026.

This role demands deep technical expertise, mathematical rigor, and first-principles thinking to ensure safety in autonomous driving. You will own critical elements of our overall safety strategy to deliver safe, transformative autonomous trucking systems.

The Autonomy Safety team is charged with an incredibly challenging task: how to make — and prove — that an autonomous truck is incredibly safe (fewer than one fatal collision per 10⁸ hours). There is no textbook for this problem. You will be part of a small, high-impact team working at the frontier of safety, leveraging existing methods and pioneering new ones when needed.

What You'll Do:

  • Write C++ to efficiently search high-dimensional failure spaces at scale
  • Use first-principles analysis to develop requirements for safe perception, localization, prediction, motion planning, and control, collaborating directly with the Autonomy Software teams building those systems
  • Identify failure modes and edge cases that expose weaknesses in our system before they appear in on-road environments.
  • Perform hazard analysis, risk assessments, and fault tree analysis that feed directly into our safety case and drive system design decisions
  • Provide analysis to support complex autonomy system design trade-offs that affect safety and performance
  • Lead and support structured testing campaigns like simulation, track, on-road, and hardware-in-the-loop to validate that our safety claims hold
  • Pioneer new methods when existing ones aren't enough to hit our safety targets
  • Drive safety thinking cross-functionally — this team doesn't sit in a corner; it shapes how everyone builds

What you’ll bring:

  • M.S. or Ph.D. in engineering, mathematics, statistics, or a related technical field
  • Deep understanding of kinematics, dynamics, and system modeling
  • Strong foundation in probability and statistics
  • Strong programming skills in C++ and/or Python
  • Hands-on work across one or more of the following:
    • Sensor fusion and object tracking (e.g., Kalman filtering, particle filters, least squares estimation)
    • Machine learning methods (e.g., neural networks, SVMs, kNN, regression models, decision trees)
    • Classical computer vision (e.g., edge/corner detection, camera calibration, optics)
    • Motion planning (e.g., A*, RRT, potential fields)
    • Control systems (e.g., PID, nonlinear control, model predictive control)
  • Excellent verbal and written communication skills, particularly on technical topics
  • Safety analysis methodologies: FTA, FMEA, HARA
  • Safety-critical standards: ISO 26262, DO-178, IEC 61508, SOTIF, UL 4600
  • Redundancy strategies and fault-tolerant system design

What we offer:

  • Competitive compensation package including equity and annual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
  • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
  • Flexible PTO, 10 paid holidays, and generous parental leave policies
  • Our office is centrally located in Mountain View, CA
  • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
  • Long Term Disability, Short Term Disability, Life Insurance
  • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation)
  • Fidelity 401(k)
  • Commuter, FSA, Dependent Care FSA, HSA
  • Various incentive programs (referral bonuses, patent bonuses, etc.)

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
$190,000—$230,000 USD

Standard company text repeated across Kodiak Robotics's postings is omitted here.

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