Robotics Generalist

Wayve

Sunnyvale (CA)

On-site

USD 85,000 - 120,000

Full time

14 days+

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Job summary

Wayve is seeking a Robotics State Estimation and Control Generalist in Sunnyvale, CA, to enhance autonomy in automated driving. This role entails refining algorithms, owning platform stability, and collaborating cross-functionally. The ideal candidate has over 3 years in robotics/automotive, strong control system knowledge, and is proficient in C++ and Python. This position requires hands-on troubleshooting and may involve domestic and international travel to support customer programs.

Qualifications

  • 3+ years of experience in a robotics or automotive context.
  • Strong background in control systems and state estimation.
  • Proficiency in C++ and Python.

Responsibilities

  • Refine and tune controller and state-estimation algorithms.
  • Own stability and performance of new vehicle platforms.
  • Collaborate on troubleshooting integration issues.
  • Support key customer programs with technical expertise.

Skills

Robotic system characterization
Control system design
State estimation
Sensor fusion
C++
Python

Job description

About the Company

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware‑agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In a fast‑paced environment, big problems ignite us – we embrace uncertainty, lean into complex challenges to unlock groundbreaking solutions, stay humble, and continually learn and evolve toward a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment, backing each other to deliver impact.

Role Description

The Vehicle Generalization team within Robotics Engineering seeks a highly skilled and motivated Robotics State Estimation and Control Generalist to ensure the successful integration, characterization, and stable operation of our autonomous driving software across a growing range of new vehicle platforms. This role is critical for the initial bring‑up phases of new vehicle development programs (ADPs), requiring deep expertise in control systems, state estimation, and hands‑on system troubleshooting. The ideal candidate is a generalist capable of quickly tackling complex, low‑level robotics challenges on‑site at our Sunnyvale location, working closely with Application Engineering and external customer teams.

Key Responsibilities
  • Algorithm Refinement and Tuning: Refine, tune, and generalize controller, state‑estimation (odometry, localization), and perception algorithms for performance and stability across various new vehicle platforms.
  • Platform Stability Ownership: Own the stability and performance of new vehicle platforms during the critical ADP bring‑up phases, including on‑vehicle debugging and integration work.
  • Cross‑functional Collaboration: Work closely with Application Engineering, Vehicle Software Integration, and Control teams to troubleshoot integration issues and provide expertise on the control stack.
  • Customer Program Support: Provide on‑ground technical support for key customer programs (e.g., Nissan), which may require domestic and international travel.
Required Skills and Experience
  • 3+ years of experience in a robotics or automotive context with hands‑on robotic system characterization and system identification.
  • Strong background and practical experience with control system design, state estimation (including odometry and localization), and sensor fusion.
  • Proficiency in C++ and Python.
  • Demonstrated strong robotics system thinking, enabling quick diagnosis and resolution of complex integration issues in dynamic environments.
  • Willingness and ability to travel (domestic and international) for on‑ground customer and vehicle support. Must be based in Sunnyvale, CA.
Nice‑to‑Have Skills and Experience
  • Experience with automotive Drive‑by‑Wire (DBW) systems.
  • Familiarity with mapping/navigation data and advanced odometry techniques.
  • Experience with data‑driven development, including defining metrics, building tooling, and performing data analysis.
  • Experience with advanced control techniques, particularly where motion planning/control is influenced by or performed by a neural network.
  • Experience building and maintaining data pipelines for robotics development.
  • Excellent cross‑functional communication and teamwork skills.
Equal Employment Opportunity

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self‑driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

Wayve is committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding), or any other basis as protected by applicable law.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non‑discriminatory.

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