Staff Autonomy Software Engineer, Localization

Kodiak
Mountain View, CA
On-site

Who this role is best for

A natural match if you have experience in autonomous vehicle navigation systems and a track record of leading technical teams.

Best fit for

  • Candidates with leadership experience in autonomous navigation systems and a history of mentoring engineers
    — “A history of mentoring engineers and elevating the technical practices of a team.”
  • Individuals with strong sensor fusion and state estimation expertise for commercial trucking applications
    — “Deep experience transforming raw sensor data from GNSS, IMU, wheel speed, etc. into 6-DOF pose using Kalman Filtering, factor graphs, or comparable state estimation techniques.”
  • Candidates who have built high-reliability deployed applications in C++ and have a strong software engineering foundation
    — “Strong software engineering skills and experience building high-reliability deployed applications.”

Things to consider

  • Potential eligibility checks for U.S. person status or citizenship due to national security-related restrictions
    — “roles that carry more sensitive requirements may be limited to candidates that can satisfy additional scrutiny”
  • The role may involve working in Mountain View, CA, with no explicit mention of remote flexibility
    — “Our office is centrally located in Mountain View, CA”

How to stand out

  • Highlight leadership in technical strategy and system-wide solutions during interviews
    — “Set the technical strategy and architecture for our onboard navigation and pose estimation systems.”
  • Demonstrate experience with sensor fusion and failure mode anticipation in your resume
    — “Lead the design and development of advanced sensor fusion and pose estimation approaches across IMU, camera, and lidar sensors, anticipating failure modes before they arise in the field.”
  • Showcase your ability to define and evangelize evaluation methodologies for navigation systems
    — “Define and evangelize navigation metrics and evaluation methodology used across the org to assess algorithm and system performance.”
  • Emphasize your hands-on approach and ability to build infrastructure from scratch
    — “Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in defining and building lasting infrastructure components from scratch.”
  • Demonstrate your communication skills by including clear design documentation examples in your portfolio
    — “Great communicator. You have experience writing clear, concise design documentation to gather feedback from across the team to find the best solution.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Set technical strategy and architecture for onboard navigation and pose estimation systems
  • Lead the design and development of advanced sensor fusion and pose estimation approaches
  • Define and evangelize navigation metrics and evaluation methodology
  • Serve as a technical escalation point for complex localization problems
Typical background
BS, MS or PhD in Computer Science, Electrical Engineering, or related fieldExperience in building navigation, localization, and odometry systems

Skills & requirements

Required

C++Kalman FilteringFactor GraphsSensor FusionPose EstimationState EstimationInertial NavigationVisual OdometryLidar OdometryHigh-reliability Deployed ApplicationsTechnical LeadershipProblem SolvingSoftware EngineeringTeam Mentoring

Preferred

Computer VisionPoint Cloud Processing

Stack & domain

C++Kalman FilteringFactor GraphsComputer VisionVisual OdometryOdometry From Point CloudsSensor FusionPose EstimationLeadershipProblem SolvingCommunicationMentoringTeamworkFlexibilityCuriosityAutonomous Ground TransportationArtificial IntelligenceCommercial TruckingPublic SectorSelf-driving SoftwareU.S. Department Of Defense

About the role

Original posting from Kodiak via Greenhouse

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 Engineer on our Calibration, Localization and Mapping (CLAM) team — a technical leader with deep expertise in state estimation, inertial navigation, and sensed odometry who can set technical direction across the team and organization.

In this role, you will:

Set the technical strategy and architecture for our onboard navigation and pose estimation systems.

Lead the design and development of advanced sensor fusion and pose estimation approaches across IMU, camera, and lidar sensors, anticipating failure modes before they arise in the field.

Drive the direction of visual and lidar odometry algorithms, including evaluating build-vs-adopt tradeoffs for new techniques.

Define and evangelize navigation metrics and evaluation methodology used across the org to assess algorithm and system performance.

Serve as a technical escalation point for complex, ambiguous, or cross-cutting localization problems.

Evaluate sensor performance and optimize sensor selection.

Verify correct sensor calibrations, settings, and uncertainty characterizations.

What you’ll bring:

Strong technical background. BS, MS or PhD with academic or industry experience in building navigation, localization, and odometry systems.

Expert in C++ and strong problem-solving skills. 

Strong software engineering skills and experience building high-reliability deployed applications . You write well-designed, highly maintainable code. Code is your craft.

Deep experience transforming raw sensor data from GNSS, IMU, wheel speed, etc. into 6-DOF pose using Kalman Filtering, factor graphs, or comparable state estimation techniques — and judgment on when each approach is appropriate.

Experience with computer vision, visual odometry, and/or odometry from point clouds

A history of mentoring engineers and elevating the technical practices of a team.

A team player. You take ownership and work with the team to deliver exceptional results. You are interested in the performance of the entire system across engineering disciplines.

Ability to build and iterate quickly. You enjoy working fast and smart, and you are comfortable in defining and building lasting infrastructure components from scratch.

Hands on.  Curious.  Flexible.  Interested in new domains to expand your horizons and provide a complete system wide solution. 

Great communicator. You have experience writing clear, concise design documentation to gather feedback from across the team to find the best solution.

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$200,000—$260,000 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.

Source: Kodiak careers (Greenhouse)

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