Member of Technical Staff (GPU Performance Engineer)
- Level
- Staff
- Work type
- Remote · US only
- Visa
- Sponsors visas
Not stated in the posting: salary.
Open. First seen 2 October 2026.
About the role
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.
The team: Technical
This role is one of 5 open in Technical.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (4 of 5), C++ (3 of 5), Python (3 of 5), PyTorch (3 of 5), CUDA (2 of 5), Deep Learning (2 of 5)
OTHER ROLES ON THIS TEAM
- Member of Technical Staff (Robotics) posted Jul 31
- Member of Technical Staff (Machine Learning Engineer) posted Jun 11
- Member of Technical Staff (Applied AI) posted Jan 21
- Member of Technical Staff (ML) posted Aug 1
From the team and dates on Reka's own job board.
Similar jobs
- Member of Technical Staff - ML Infra at Trajectory
Shares 4 skills: CUDA, PyTorch, C++… · Staff level - Principal Engineer Team Lead, Prediction & ML Planner at Motional
Shares 5 skills: CUDA, Deep Learning, PyTorch… · Staff level · same remote region - Engineering Manager, Active Sensors (LiDAR) at Torc Robotics
Shares 5 skills: CUDA, Deep Learning, PyTorch… · same remote region - Solutions Architect at Nebius
Shares 5 skills: CUDA, Deep Learning, PyTorch… · same country - Senior Software Engineer - GPU Kernel Authoring & Optimization at CoreWeave
Shares 5 skills: CUDA, PyTorch, C++… - Member of Technical Staff (Data Intelligence) at Reka
Also at this company
Is this your posting and you want it taken down? Email info@careerholo.com.