Engineering Manager - Robot Software , Inference and Accelerators Sunnyvale

Wayve Technologies Ltd.; Sunnyvale (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Wayve Technologies Ltd. seeks an Engineering Manager for Robot Software in Sunnyvale. This full-time role involves leading a talented engineering team to enhance autonomous driving technology through innovative software development. Candidates should have a strong background in software team leadership, experience with complex systems, and technical proficiency in programming languages like C++ or Rust. Wayve fosters an inclusive workplace where diverse contributions are valued.

Qualifications

• 5+ years leadership experience in software development.
• Strong hands-on development in C++ or Rust.
• Experience with IPC/RPC frameworks on Linux.

Responsibilities

• Lead a team of software engineers to deliver AI software.
• Own the technical roadmap and manage stakeholder expectations.
• Guide team in developing fault-tolerant software solutions.

Skills

Leadership

Communication

C++

Rust

Data serialization

IPC/RPC frameworks

Real-time systems

Edge computing

Education

Degree in Computer Science

Degree in Electrical Engineering

Job description

Engineering Manager - Robot Software , Inference and Accelerators

Sunnyvale

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.

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

The Robot Software team is responsible for the software that runs on our internal fleet of vehicles to enable autonomous driving and collect data for training new driving models. As the Engineering Manager for the Inference & Accelerators team, you will lead a motivated and talented team of engineers to deliver a reliable, stable and flexible software stack to support on-road experimentation by our model developers and scientists. Your work will enable these teams to iterate quickly and gather the data they need to improve our autonomous driving capabilities and support new product features, which is critical to the success of Wayve’s mission.

The Inference & Accelerators team sits at the fulcrum of Wayve’s AI technology by abstracting away the hardware and software from AI engineers who want to test and validate new ideas. Their software is delivered onto our development fleet and ensure the right data arrives in the right place at the right time in a way that is easy to dynamically configure. They work closely both with partner AI and machine learning compiler teams.Additionally, they support software layers which enable extending our inference abstractions to new target hardware and accelerators in development and validation environments.

Key responsibilities:

• Own software layers which interface with inference and IPC systems
• Develop novel abstraction and data movement frameworks to enable dynamically configured AI inference
• Create and deliver software which enables new inference hardware types to be added to our portfolio of capabilities
  
• Lead a high performing team of software engineers, providing technical direction and working with the technical lead to break down organizational goals into clear objectives and milestones
• Own the technical roadmap for your team, working with internal stakeholders, customers and other engineering teams to align on priorities and delivery timelines
• Empower your team to operate autonomously, ensuring they have the resources, skills and information they need in order to succeed
• Guide your team to develop fault-tolerant software solutions with comprehensive diagnostic tools, to enable any operational issues affecting our internal fleet to be rapidly identified, addressed and diagnosed
• Communicate with leadership and other stakeholders to manage expectations, remove roadblocks and overcome any issues affecting the delivery or team
• Support the development of your team members through guidance, mentorship and the ongoing provision of high quality feedback

About you

• Experience with data serialization and IPC/RPC frameworks on Linux (or similar) systems.
  
• Proven leadership and management experience in a software development team, preferably working with complex and/or embedded systems
• Strong hand-on development experience in a high performance programming language such as C++ or Rust
• Demonstrated ability to build, manage and grow high-performing teams, owning the recruitment process and supporting career development
• Excellent communication skills and a track record of effective collaboration across teams and functions
• Strategic acumen and the ability to distill company objectives and customer requirements into a vision and technical roadmap for your team’s internal product
• A degree in Computer Science, Electrical Engineering, or a related field, or equivalent professional experience
  
• Experience coordinating host-to-accelerator and accelerator-to-host workflows
• Experience with PCIe, RDMA, NVLink, or other high-speed interconnects
• Familiarity with DMA engines, memory-mapped I/O, and zero-copy data transfer techniques
• Creation and use of software that executes common datasets across multiple ML runtimes, hardware platforms, or models
  
• Experience working with real-time systems and edge computing
• Experience with robotics, autonomous systems, or other real-world sensing applications
• Familiarity with middleware frameworks (e.g., DDS, ROS 2, custom telemetry systems)
• Experience in developing automotive software, knowledge of DriveOS

This is a full-time role based in our office in Sunnyvale. 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, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.

#LI-AB1

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.

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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Have you held a leadership role within software development or embedded systems for at least 5 years?

Do you have experience directly managing a software development team guiding them through all stages of the software lifecycle?

Are you proficient in Linux-based development, real-time systems, and edge computing?

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