Kodiak Robotics Logo

Kodiak Robotics

Software Engineer, Localization

Reposted 14 Days Ago
Be an Early Applicant
Easy Apply
In-Office
7 Locations
180K-215K Annually
Mid level
Easy Apply
In-Office
7 Locations
180K-215K Annually
Mid level
Develop onboard navigation and pose estimation algorithms, optimize sensor fusion, and troubleshoot performance metrics for autonomous systems.
The summary above was generated by AI

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 Localization Engineer --- a problem solver with solid expertise in state estimation, inertial navigation, and sensed odometry.

In this role, you will:

  • Develop and integrate onboard navigation and pose estimation algorithms.
  • Optimize sensor fusion and pose estimation using IMU, camera, and lidar sensors.
  • Develop visual and lidar odometry algorithms.
  • Develop navigation metrics for evaluating algorithms specifically for the autonomous trucking domain.
  • Troubleshoot, problem solve, innovate, create, and collaborate.
  • 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.
  • Skilled 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.
  • Experience with IMUs, and wrangling IMU data, especially in the automotive domain.
  • Experience with computer vision, visual odometry, and/or odometry from point clouds
  • Solid understanding of metrics, data analysis, and scientific evaluation.
  • 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 biannual bonuses
  • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Anthem, and Guardian (including a medical plan with infertility benefits)
  • Flexible PTO 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, One Medical, Gympass, Spring Health
  • 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
$180,000$215,000 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.

Top Skills

C++
Computer Vision
Imu
Lidar
HQ

Kodiak Robotics Mountain View, California, USA Office

1045 Terra Bella Ave, Mountain View, CA, United States, 94043

Similar Jobs

22 Days Ago
Easy Apply
In-Office or Remote
3 Locations
Easy Apply
132K-207K Annually
Senior level
132K-207K Annually
Senior level
Artificial Intelligence • Cloud • eCommerce • Enterprise Web • Software • Design • Generative AI
The Senior Software Engineer will enhance Webflow's content discovery and localization features, working on full-stack systems to improve user experience with content management workflows. Responsibilities include designing scalable features, collaborating with team members, and mentoring peers.
Top Skills: ExpressMernMongoDBNode.jsReactTypescript
7 Hours Ago
In-Office
Kitchener, ON, CAN
Senior level
Senior level
Robotics • Automation • Manufacturing
The Senior Software Developer - Localization will design and develop localization algorithms, optimize software for performance, and contribute to testing frameworks in robotic systems.
Top Skills: C++Factor GraphsKalman FiltersLinuxParticle FiltersPythonRobot Operating System (Ros)Slam
3 Hours Ago
Hybrid
Mississauga, ON, CAN
Junior
Junior
Fintech • Financial Services
Manage and optimize credit product performance, analyze portfolio trends, build client relationships, and present recommendations for strategic initiatives.
Top Skills: ExcelPower BIPythonSQLTableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account