About the role

About us

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

As an Engineering Manager in the Embedded Automotive Platforms (EAP) team, you’ll lead a US-based team building portable, production-grade core libraries and standardized APIs that sit at the boundary between Wayve’s autonomy stack and real vehicle platforms. Your team’s work enables Wayve software to run reliably across multiple automotive reference platforms and runtime environments (e.g., NVIDIA Drive Orin on Linux/QNX, Qualcomm platforms), accelerating real-world AV experiments and customer programs.

This is a hands-on engineering management role: you’ll be expected to spend roughly 40% of your time coding/designing and ~60% leading, coaching, and delivering through the team.

Key Responsibilities

Lead and grow an embedded software team in the US, with plans to scale headcount over time.
Own the team roadmap: translate milestones into clear objectives, align priorities with stakeholders, and track execution to deliver against committed milestones.
Drive development of portable core libraries and platform abstractions (SDK-style APIs) that enable repeatable deployment of Wayve’s autonomy software to vehicle compute.
Guide reference platform adaptation and integration, ensuring our libraries run reliably across target environments (Linux/QNX and automotive SoCs).
Be responsible for delivering automotive functional safety (FuSA) certified core production libraries.
Coach and develop engineers; set high standards for engineering excellence, maintainability, and delivery discipline.
Stay hands-on: contribute to architecture and design, review code, and personally implement critical pieces where needed.

About you

Experience managing and developing software engineers, with strong ownership of delivery (planning → execution → quality).
Strong engineering background, including substantial proven experience in embedded system development, preferably in the automotive industry or similar
Strong background in developing software for embedded systems using high-performance system languages like C++ and/or Rust, with the ability to be hands-on (coding + design).
Experience delivering software in safety-/quality-conscious environments (automotive strongly preferred), including familiarity with standards/processes such as ASPICE and MISRA.
Demonstrated ability to collaborate cross-functionally and communicate clearly with stakeholders across teams and time zones.
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

Desirable

Experience with Linux and/or QNX, build systems, and platform integration.
Familiarity with automotive platform concepts (e.g., AUTOSAR Adaptive, middleware/IPC for high-throughput systems).
Experience working with or delivering software on NVIDIA Drive Orin and/or Qualcomm automotive platforms.
Experience delivering platform/software components used broadly across internal teams and by external partners / 3rd parties.
Experience in FuSA and ISO26262 or similar compliance frameworks in fields like medical, aerospace.

This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $280,000 to $305,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

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.

Skills & Tags

go rust ai data product design

Aplyr's read

Wayve pioneers AI-driven autonomous vehicle tech, attracting talent in robotics and deep learning. Ideal for those passionate about cutting-edge automotive innovation.
Synthesized from recent postings & public sources

What's promising

•Wayve leverages deep learning to advance autonomous vehicle technology, a rapidly growing field.
•The company attracts top talent in AI and robotics, fostering a strong innovation culture.
•Recent roles suggest a focus on scalability and integration, indicating growth and expansion.

What to watch

•Limited public information about financial stability and long-term viability.
•Autonomous vehicle technology faces regulatory and public acceptance challenges.
•High competition from well-funded tech giants in the autonomous driving space.

Why Wayve

•Wayve emphasizes deep learning over traditional sensor-heavy approaches for autonomy.
•The company focuses on city driving, a complex environment for autonomous systems.
•Wayve's approach allows for rapid adaptation and learning across different environments.

Aplyr’s read is generated by AI from public sources. Was it useful?