Principal Engineer, Model Dev Platform

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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!  

Principal Engineer, Model Development Platform

As the Principal Engineer for the Model Development Platform at Wayve, you will own the end-to-end architecture that powers every aspect of our AI model lifecycle—from raw data ingestion to model training, experiment scheduling, and on-road testing. Sitting at the intersection of cutting-edge AI research, large-scale distributed systems, and robotic operations, you will ensure the reliability, scalability, and coherence of the systems that enable Wayve’s researchers and engineers to iterate rapidly and deploy autonomous driving models safely.

You will partner closely with the Head of Model Dev Platform to define and execute the technical vision for the organization, aligning infrastructure and tooling with company-wide goals. You will lead by technical example—diving deep into complex challenges across web applications, distributed compute orchestration, ML Ops, data pipelines, and optimization algorithms. Your architectural insight and mentorship will empower teams to deliver world-class platform capabilities that measurably accelerate model development and fleet learning.

Challenges you will own

System Architecture & Reliability

Design and evolve the overarching architecture of the model development platform, ensuring system-wide reliability, observability, and scalability. Define key performance, latency, and availability targets across diverse components and drive the engineering standards needed to achieve them.

Cross-Domain Technical Leadership

Work across disciplines—from front-end web UIs to large-scale distributed training, from Spark-based data pipelines to experiment scheduling algorithms using linear optimization—to unify the platform’s architecture and ensure smooth interoperability between systems.

Hands-On Problem Solving

Dive deep into the thorniest technical challenges faced by individual subteams, bringing your expertise in distributed systems, large-scale compute, and system design to bear. Drive architectural reviews and propose pragmatic solutions that balance innovation with operational simplicity.

Experimentation & Scheduling Systems

Develop and refine systems that optimize how models are tested—whether in simulation or on-road—balancing constraints like hardware availability, safety requirements, and research priorities. Use algorithmic techniques (e.g., linear programming, heuristic optimization) to improve throughput and turnaround time.

Data & Compute Infrastructure

Architect data processing pipelines capable of ingesting, transforming, and enriching petabytes of sensor data from the global fleet. Ensure efficient compute utilization across heterogeneous environments (GPU, CPU, cloud, and edge), supporting both rapid prototyping and large-scale production training.

Mentorship & Engineering Excellence

Serve as a mentor and coach for engineers across the organization—developing technical talent, improving design practices, and fostering a culture of learning and technical excellence. Act as a trusted advisor to senior engineers and a role model for engineering craft.

Strategic Collaboration

Partner with Product Management, Research, a