Staff ML Performance Engineer (Training Efficiency)

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

We are looking for a Staff ML Performance Engineer to join our Training Tech

team working on optimizing large scale ML jobs to enable scaling our models to

the next order of magnitude. A successful candidate will increase efficiency of

training and inference workloads in order to allow Wayve to train larger models

faster.

Key responsibilities:

* Profile ML workloads to identify their bottlenecks, e.g. using NVIDIA Nsight

Systems

* Design and implement efficiency improvements to maximize MFU and throughput,

e.g. parallelism, model compilation, mixed precision

* Design and implement observability tools to identify bottlenecks and drive

performance improvements, e.g. to track MFU, throughput, latency, etc

* Design and implement benchmarking tools, e.g. to track efficiency gains or

regressions

* Collaborate closely with Research teams to integrate training efficiency

improvements and create a culture of performance optimization

ABOUT YOU

In order to set you up for success in this role, we’re looking for the following

skills and experience.

Essential

* 10+ years of industry experience driving performance engineering across ML

systems, GPU compute infrastructure, distributed platforms or similar field.

* Experience optimizing large scale jobs on GPU compute clusters.

* Experience in working in platform teams and working with research teams.

* Experience in writing, reporting, and tracking performance benchmarks in an

open and accessible way.

* Ability to write high quality, well-structured and tested Python code

* BS or MS in Machine Learning, Computer Science, Engineering, or a related

technical discipline or equivalent experience

Desirable

* Experience working with concurrent, parallel and distributed computing.

* Experience using NVIDIA NSight Systems or other system profilers.

* Experience implementing GPU kernels (CUDA, Triton, etc).

* Knowledge of computing fundamentals - what makes code fast, secure and

reliable.

This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably

estimated salary for this role ranges from $336,400 to $359,000, plus a

competitive equity package. Actual compensation is based on the candidate's

skills, qualifications, and experience.

#LI-HH1

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. [https://wayve.ai/careers/]

To learn more about what drives us, visit Values at Wayve

[https://wayve.ai/careers/]

For US candidates only, please visit E-Verify Notice

[https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf]

and Participation and Right to Work

[https://www.ussc.gov/sites/default/files/pdf/employment/RightToWork.pdf]

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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.