Senior GPU Performance Engineer

Wayve
·
Posted: 
April 21, 2023
·
Onsite
Job Commitment
Full-time
Job Commitment
Senior
Job Function
Dev & Engineering
Salary
N/A
Job Commitment
Full-time
Experience Level
Senior
Workplace Type
Onsite
Job Function

This job is closed

We regret to inform you that the job you were interested in has now been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

About the position

The job overview for this position is that the GPU Performance Engineer will be responsible for optimizing the hardware on autonomous vehicles to enable larger and more powerful models to be deployed on the road. This will involve profiling, debugging, and optimizing model architecture for fast inference, as well as building a runtime environment that maximizes model capacity and speed. The ideal candidate will have deep knowledge of GPU architectures, experience with PyTorch and CUDA, and knowledge of model optimization techniques such as pruning and quantization. The role offers competitive compensation and stock options, as well as the opportunity to shape the future of autonomous driving.

Responsibilities

  • Profiling, debugging, and optimizing model architecture for fast inference
  • Rewriting core parts of the model architecture for maximum performance
  • Building a runtime environment that maximizes the model capacity and speed
  • Applying model optimization techniques to improve training time
  • Staying current with developments in GPU computing and machine learning techniques
  • Identifying, debugging, and fixing performance bottlenecks in models
  • Having deep knowledge of GPU architectures and how to squeeze the most out of them
  • Having experience with PyTorch and CUDA
  • Having strong C++ and Python ability
  • Knowing model optimization techniques such as pruning and quantization
  • Having experience with GPU profiling and debugging tools such as NVIDIA Nsight and Intel VTune

Requirements

  • Deep knowledge of GPU architectures and how to squeeze the most out them
  • Ability to identify, debug and fix performance bottlenecks in our models
  • Experience with PyTorch and CUDA
  • Strong C++ and Python ability
  • Knowledge of model optimization techniques such as pruning and quantisation
  • Experience with GPU profiling and debugging tools such as NVIDIA Nsight and Intel VTune
  • Knowledge of more recent technologies such as Torch inductor or Triton (desirable)
  • A strong foundation in deep learning concepts would be helpful (desirable)

Benefits

Job Application Resources

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Wayve

Wayve offers businesses with multiscreen advertising solutions to connect with audiences across mobiles and PCs.
Location
London, England
Company Size
1-10
Workplace Type
Industries
Advertising
Computer
Marketing Automation
Consumer Electronics
Hardware
Sales and Marketing
Software
Open Roles
9
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Wayve

Wayve offers businesses with multiscreen advertising solutions to connect with audiences across mobiles and PCs.
Company Overview

Wayve offers businesses with multiscreen advertising solutions to connect with audiences across mobiles and PCs.

Benefits
  • 25 days annual leave and bank holidays
  • Enhanced parental leave (eligibility criteria apply)
  • Workplace nursery scheme
  • Competitive salary and benefits
  • Opt-in private health insurance
  • On-site chef
  • Dog-friendly office
  • Access to mental health platform/therapy
  • The opportunity to shape the future of autonomous driving and tackle one of the biggest challenges of our time
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