Senior GPU Kernel Engineer

Location San Francisco
Discipline: AI & Machine Learning Jobs
Job type: Permanent
Salary: US$200000.00 - US$400000.00 per annum
Contact name: Taryn Manna

Contact email:
Job ref: BBBH14826_1685107796
Published: 7 days ago

About the Company:

We are a series A startup building the next generation of Artificial General Intelligence (AGI) systems. Our mission is to create intelligent machines that can learn and reason like humans, with the potential to revolutionize industries and solve some of the world's most challenging problems.

About the Role:

We are looking for a Senior GPU Kernel Engineer who will play a critical role in developing and optimizing deep learning algorithms for our AGI systems. You will work with a team of software engineers, machine learning researchers, and hardware engineers to design, implement, and optimize GPU kernels for deep learning algorithms


  • Design and implement GPU kernels for deep learning algorithms
  • Optimize GPU performance for training and inference
  • Develop and improve GPU modeling infrastructure, including software tools and architectures
  • Work with hardware teams to ensure optimal performance of our systems
  • Stay up-to-date with the latest research and advancements in GPU kernel development


  • MS or PhD in Computer Science, Electrical Engineering, or related field
  • 5+ years of experience in GPU kernel development and optimization
  • Strong programming skills in CUDA and C++
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Experience with GPU profiling and performance analysis


We offer a competitive salary and equity. You will have the opportunity to work on cutting-edge AI technology with a talented and passionate team.

If you are interested in this exciting opportunity to work on groundbreaking AI technology and help build the future of AGI, please apply with your resume.