Kodiak Robotics

Senior Autonomy Engineer, Perception

Kodiak Robotics$180K — $235K *
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years industry experience in state estimation and sensor fusion systems, or 3 years with a PhD.
  • Expertise in sensor fusion, state estimation, Kalman filtering, and deep learning.
  • Proficient in C++ with strong problem-solving abilities.
  • Experience in software engineering for high-reliability applications.
  • Solid understanding of metrics and data analysis.

Responsibilities

  • Lead advancements in learned scene estimation solutions for the Kodiak Driver.
  • Fuse data from various sensors to enhance perception performance.
  • Boost multi-target tracking capabilities including initiation and tracking maintenance.
  • Create new algorithms for processing noisy measurements.
  • Develop tools and metrics to improve sensor fusion performance.
  • Promote innovation and teamwork to address challenges effectively.

Benefits

  • Comprehensive medical, dental, and vision plans including infertility benefits.
  • Flexible PTO policy with 10 paid holidays and generous parental leave.
  • Central office location in Mountain View, CA with convenient perks.
  • Various wellbeing benefits and programs for mental health support.
  • Commuter benefits and reimbursement options available.
Full Job Description
We are seeking a highly skilled Autonomy Perception Engineer to join our Perception Engineering team. In this role, you will use your expertise in state estimation & multi object tracking to shape the perception stack as we scale, incorporating and developing state of the art algorithms and techniques. You'll leverage advanced Artificial Intelligence (AI) models and techniques to deploy and scale safe autonomous perception systems. If you're passionate about how robots perceive and understand the world at scale, this role is for you. In this role, you will: - Lead efforts to advance learned scene estimation solutions in the Kodiak Driver. - Use principled approaches for fusing information from multiple modalities (camera, radar, lidar, thermal, and IMU) to improve perception performance. - Improve multi-target tracking performance including track initiation, measurement to track association, and track state maintenance. - Develop novel algorithms to incorporate noisy measurements to construct a solid foundational understanding of the world. - Develop tooling, metrics, and visualization to advance sensor fusion performance. - Embody innovation and collaboration. Think creatively and resourcefully to solve problems. What you'll bring: - Strong technical background. BS or MS with at least 5 years industry experience, or PhD with at least 3 years of academic or industry experience, in building state estimation and sensor fusion systems. - Domain Expertise. Topics of interest include sensor fusion, state estimation, Kalman filtering, particle filtering, multi-object tracking, deep learning, learned scene estimation, behavior prediction. - Skilled in C++ with strong problem-solving skills. - Strong software engineering skills and experience building high-reliability deployed applications . You write well-designed, highly maintainable code. - 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 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 $180,000-$235,000 USD

About Kodiak Robotics

Kodiak Robotics is a startup that is developing autonomous trucks for long-haul freight transportation. The company was founded in 2018 by Don Burnette and Paz Eshel, both former employees of the self-driving truck company Otto. Kodiak's trucks use a combination of sensors, cameras, and software to navigate highways and other roads without a human driver. The company has raised $40 million in funding from investors including Battery Ventures and CRV. Kodiak is headquartered in Mountain View, California, and has a testing facility in North Texas.
Learn more about Kodiak Robotics
Size
101 employees
Market Cap
$347.1 million
Industry
Net Income
-$133.1 million
Founded
2016
NASDAQ

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