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Sunnyvale, California, United States
Hybrid
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 our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The Role
We are looking for a Data Ingestion Engineer to help build and strengthen the data foundations behind Wayve’s self-driving technology.
At Wayve, we do not hand-code cars to drive. We train them to drive from data. That makes data ingestion one of the most important parts of our learning system. The faster, more reliably and more intelligently we can process real-world driving data, the faster we can improve our models and bring embodied AI into the world.
This is a hands-on permanent role for an engineer who enjoy solving practical, high-impact problems at scale. You will help keep our ingestion pipelines running smoothly, unblock critical data flows, and contribute to the long-term evolution of the systems that support annotation, data science, model training and evaluation.
Our data platform operates at significant scale, with over 500,000 hours of driving data, equating to 100’s of PBs. As our ADAS and autonomy work grows, we need ingestion systems that are robust, efficient and cost-effective. A single bad data segment can block a pipeline, build up queues and slow down downstream teams, so this role has a direct impact on how quickly Wayve’s AI can learn.
Key Responsibilities
You will work within the Data Ingestion team to improve the reliability, efficiency and throughput of the pipelines that move real-world driving data through Wayve.
About You
You are an experienced Data Engineer, Platform Engineer or Distributed Systems Engineer who enjoys working on large-scale production data systems.
You have seen how data pipelines behave in the real world: messy inputs, strange edge cases, corrupt files, stalled queues, unexpected formats and failures that only appear at scale. You are comfortable digging into those problems, finding the root cause and making systems better as a result.
You combine strong technical depth with a practical, collaborative approach. You can take ownership of complex systems, work effectively across teams and balance urgent operational needs with thoughtful, durable engineering improvements.
Essential
Desirable
Experience in one or more of the following areas would be a strong advantage:
This is a full-time, permanent role based in our Sunnyvale, CA office. and the reasonably estimated salary for this role ranges from $210,000 to $250,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.
At Wayve, we want the best of all worlds, so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, with time spent working from home.
At Wayve we're 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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
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.
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.
At Wayve we're 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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
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.