GPU Kernel Engineer

3 weeks ago


Canada Acceler8 Talent Full time

GPU Kernel Engineer

We are at the forefront of developing cutting-edge code models, aiming to create a coworker, not just a copilot. Our mission is to build safe AGI that advances humanity's progress on critical global issues. We believe in the transformative potential of code generation, both as a product and a pathway to achieving AGI. We are dedicated to solving AGI safety and creating innovative AI products through our proprietary frontier-scale models.


About the Company

Our team is driven by the ambition to automate research and code generation to improve model alignment beyond human capabilities. Leveraging frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and test-time compute, we develop state-of-the-art models. Backed by significant funding from top-tier investors and equipped with thousands of GPUs, we are positioned to address the challenges of AGI development.


About the Role

As a GPU Kernel Engineer, you will play a critical role in designing, implementing, and maintaining high-performance kernels to optimize throughput and latency during training and inference. Your work will directly impact the efficiency and effectiveness of our novel AI architectures.


What We Can Offer You:

  • Competitive annual salary range (95th percentile)
  • Significant equity as part of the total compensation package
  • 401(k) plan with 6% salary matching
  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Unlimited paid time off
  • Option to work in-person in San Francisco or remotely
  • Visa sponsorship and relocation stipend to SF
  • A collaborative, fast-paced, and focused team environment


Key Responsibilities:

  • Design, develop, and optimize custom high-performance GPU kernels
  • Enhance inference efficiency for our novel architectures by writing more efficient code and optimizing trade-offs between accuracy and speed
  • Contribute to the overall model training process by suggesting and implementing improvements beyond the kernel level


Requirements:

  • Proficiency in CUDA; familiarity with NCCL is a plus
  • Comfortable working with SASS and writing PTX
  • Deep understanding of GPU functionality and AI accelerators


We value high-potential individuals who can excel in a dynamic environment. Quick learning and determination are as important as skill and experience. Our culture emphasizes integrity, hands-on involvement, teamwork, focus on AGI deployment, and delivering quality that feels like magic.

If you are an engineer passionate about optimizing GPU kernels and contributing to groundbreaking AI technologies, this role is for you.


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