Kodiak Robotics

Kodiak Robotics

Senior Vehicle Integration Engineer

Lancaster, TX · Senior

Sponsorship not specifiedDetected 1 day ago
PythonMATLABSpringAWSLinuxData AnalysisIntellectual PropertyElectrical EngineeringCommunicationProblem Solving

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Entry-level history0
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Lottery odds40
Fits your clock70

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About the role

  • 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.

Responsibilities

  • Lead and own the continuous improvement of a customer-facing product, identifying and driving key technical initiatives.
  • Own the Design-for-Manufacturing and Serviceability feedback loop, influencing product architecture and long-term maintainability.
  • Oversee hardware quality inspections, proactively resolving manufacturing and build issues to ensure fleet-wide reliability.
  • Lead the broader hardware team in developing vehicle and subsystem BOMs, comprehensive documentation, and robust verification plans.
  • Great communicator. You write clear, concise, and detailed documentation and are skilled at leading and participating in cross-functional design reviews
  • Proven ability to drive testing through development, execution, analysis, corrective actions, and final report-outs, with a track record of bringing sustaining engineering practices to fielded products
  • In addition to directly diagnosing and repairing hardware and system issues, you will assist technicians and create repeatable, auditable documentation.
  • You will collaborate with cross-functional teams to maintain and enhance fleet standards.
  • 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.

Requirements

  • BS or MS in Mechanical or Electrical Engineering with 6+ years of experience in the autonomous vehicle, automotive, or a related industry
  • Experience with scripting and data analysis languages such as Python or MATLAB
  • You are equally comfortable with a wrench and a keyboard.

Compensation

  • Competitive compensation package including equity and annual bonuses

Benefits

  • 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)
  • Commuter, FSA, Dependent Care FSA, HSA

Company info

  • By submitting your application, you acknowledge that your application may be processed by AI systems as part of the screening and selection process.
  • Kodiak AI, Inc. (Nasdaq: KDK), founded in 2018, is a leader in Physical AI, developing driverless technology that powers machines that move.
  • Kodiak has partnered with many of the biggest names in freight, including Bosch for scaled hardware production, AWS, and leading customers including Atlas Energy Solutions, IKEA, Bridgestone, Werner Enterprises, C.R. England, Roehl Transport, and General Dynamics Land Systems.
  • We are seeking a Senior Vehicle Integration Engineer experienced in vehicle hardware and systems support.
  • As part of the evaluation process, we provide Endorsed with job requirements and candidate-submitted applications.

Equal opportunity

  • 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.

Visa & Work Authorization

  • 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.