Member of Technical Staff (GPU Performance Engineer)

US, UK, Singapore, Remote remote Until 8/21/2026 H-1B sponsor history First posted March 26, 2025 Last posted January 9, 2026
Job description

We are seeking an experienced GPU Performance Engineer with a strong background in Python and large-scale model training. In this role, you will design and implement improvements to our training infrastructure and directly contribute to technical decisions that optimize performance of our models. You will also work on post-training processes, including reinforcement learning and fine-tuning. Furthermore, you will contribute to improving the efficiency and scalability of our model serving infrastructure.

Ideal Experience

  • Strong engineering skills with fluency in Python and PyTorch (or other frameworks).

  • Proven experience implementing and training large deep learning models.

  • Experience writing and debugging low-level GPU code (CUDA, C++).

  • Experience scaling up GPU jobs using large-scale compute clusters (e.g., Slurm or Kubernetes).

  • Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads, including profiling, identifying bottlenecks, and implementing performance tuning techniques.

Reka's Mission
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organizations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to numerous breakthroughs in AI over the past decade.

Why Reka?

  • An Elite Team: Collaborate with top-tier engineers, researchers, and operators from renowned organizations like Google DeepMind, Facebook AI Research (FAIR), and successful startups, driving innovation in AI technology.

  • Cutting-edge Infrastructure: Train state-of-the-art models leveraging the latest software and hardware, expanding the frontier of innovation in AI infrastructure development.

  • Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.

  • Generous Benefits: Enjoy five weeks of paid leave to recharge, comprehensive healthcare benefits (including vision and dental), and additional perks that support your well-being.

  • Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.

About this role

Summary

Optimize GPU training infrastructure, improve model performance, scalability, and efficiency.

Job title

Member of Technical Staff (GPU Performance Engineer)

Experience level

proven experience

Industry

software

Location requirements

remote work allowed, US, UK, Singapore based

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

PythonPyTorchCUDAC++GPU performance tuning

Preferred skills

large-scale modelsKubernetesSlurmprofilingperformance optimization

Specializations

GPUperformanceCUDAPyTorchlarge-scale models
Locations

Structured locations inferred from the posting.

United States

Remote Country

United Kingdom

Remote Country

Singapore

Remote Country