Engineering Manager, Embedded Automotive Platforms

Wayve

United States

Hybrid

USD 150,000 - 210,000

Full time

3 days ago
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Benefits offered by this job

Hybrid working model
Exposure to automotive platforms and O

Job summary

Wayve is seeking an Engineering Manager, Embedded Automotive Platforms, to lead a US-based team delivering portable core libraries and APIs for vehicle compute. You will remain hands-on in architecture and coding while guiding delivery through the team and cross-functional partners.

You should bring a strong embedded systems background with leadership experience, proficiency in C/C++, and familiarity with Linux, QNX, MISRA/ISO 26262, and automotive platforms such as NVIDIA DRIVE.

Qualifications

  • Strong embedded-systems background with hands-on coding and delivery responsibility.
  • Experience managing software engineers from planning through quality delivery.
  • Familiarity with automotive safety standards such as MISRA and ISO 26262.
  • Experience with Linux-based automotive platforms and cross-functional teams.

Responsibilities

  • Lead and grow a US-based embedded-software team.
  • Own the team roadmap, milestones, and delivery plans.
  • Coach engineers, support career development, and set quality standards.
  • Stay hands-on with architecture, code reviews, and critical components.
  • Align priorities with stakeholders across time zones and architectures.

Skills

Embedded-systems
Leadership/People management
C++
C
Rust
Linux
QNX
MISRA
ISO 26262

Tools

NVIDIA DRIVE
QNX
AUTOSAR Adaptive
Build systems

Job description

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

About our Engineering Teams

Wayve's Embedded Automotive Platforms team builds portable, production-grade core libraries and standardized APIs at the boundary between our autonomy stack and real vehicle platforms. Its work enables Wayve software to run reliably across automotive reference platforms and runtime environments, including NVIDIA DRIVE Orin on Linux/QNX and Qualcomm platforms.

As Engineering Manager, EAP, you'll lead and grow a US-based team responsible for foundational software used across real-world experiments and customer programmes. This is a hands-on management role: approximately 40% coding and design, and 60% leadership, coaching, and delivery through the team.

Your day-to-day
  • Lead, recruit, and grow an embedded-software team in the US.
  • Coach engineers, support career development, and set a high bar for engineering quality.
  • Own the team roadmap, turning milestones into clear objectives and delivery plans.
  • Align priorities with cross-functional stakeholders and maintain accountability for schedule and quality.
  • Stay hands-on through architecture, design, code review, and implementation of critical components.
  • Communicate progress, risks, and technical trade-offs across teams and time zones.
What you'll be working on:
  • Portable core libraries and SDK-style APIs for deploying Wayve autonomy software to vehicle compute.
  • Reference-platform adaptation across Linux, QNX, NVIDIA, Qualcomm, and other automotive environments.
  • Production-grade platform abstractions that reduce bespoke integration work.
  • Safety-and quality-conscious delivery, including FuSA-certified core libraries where applicable.
  • Technical and organisational foundations that allow the EAP team to scale.
  • Reliable software components used by internal teams, OEM programmes, and external partners.
You should apply if:
  • You have experience managing and developing software engineers while owning delivery from planning through quality.
  • You have a strong embedded-systems engineering background and can remain hands-on in C++, C, or Rust.
  • You have led embedded platform, core-library, or similar foundational software work.
  • You have experience in automotive or another safety-and quality-conscious industry.
  • You understand discipline development practices such as ASPICE, MISRA, ISO 26262, or comparable frameworks.
  • You communicate clearly and can align stakeholders across functions and locations.
  • Experience with Linux, QNX, build systems, AUTOSAR Adaptive, middleware/IPC, NVIDIA DRIVE, Qualcomm automotive platforms, or third-party platform delivery would be valuable.

Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.

More about Wayve:

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work - Locations & Flexible Working:

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg.

We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

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