Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Staff ML Performance Engineer, you will play a key role in high-impact projects, optimizing ML inference for edge accelerators and GPUs. The focus of this team is to run large transformer-based models efficiently on low-cost, low-power edge devices to enable Wayve’s first driving product. You will help set the technical direction for turning these models into production systems that run reliably on in-vehicle compute. This is a hands-on role working across ML systems, compilers, runtimes, kernels, and embedded deployment, contributing to several early-stage, high-impact projects at Wayve.

Responsibilities

Profile and pinpoint bottlenecks across the full inference stack and deliver measurable improvements.
Implement and validate optimisations in compilers, runtimes, and/or kernels.
Build robust benchmarking and regression testing to ensure performance improvements hold across models, devices, and software releases.
Optimise for multiple targets and work with teams to support these in a maintainable way.
Collaborate with model developers to influence architecture and training/deployment decisions that affect on-device performance.
Contribute to technical roadmaps and tooling and help raise the standard of performance engineering across the team.

Requirements

Proven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).
Strong proficiency with at least one relevant stack/toolchain and confidence learning adjacent frameworks quickly.
Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.
Strong software engineering fundamentals (debugging, profiling, testing, and maintainable code).
Clear communicator and collaborative teammate; able to align multiple stakeholders on performance trade-offs and priorities.
Exposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system-level constraints.
Experience with NVIDIA and/or Qualcomm SoCs and performance tooling.
Python and C++ proficiency.
Experience mentoring others and/or driving technical direction in a small, fast-moving team.

Skills

ML inference
Edge accelerators
GPUs
Transformer-based models
ML systems
Compilers
Runtimes
Kernels
Embedded deployment
Operator fusion
Scheduling
Quantisation-aware performance
Custom kernels
Benchmarking
Regression testing
NVIDIA Orin/Thor
Qualcomm
Model architecture
Training
Deployment
Technical roadmaps
Tooling
Performance engineering
TensorRT
CUDA
Qualcomm QNN
Triton
OpenCL
Python
C++

Location

London

Work Type

Full-time
Hybrid

Experience Level

Staff

About the Company

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!

Equal Opportunity

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.