Member of Technical Staff (GPU Performance Engineer)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 298d ago
The date the source published, not the day we noticed it (2026-01-08). Last seen at its source 3h ago.
We have tracked this listing since 19 Aug 2026 (74 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
US, UK, Singapore, Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States, United Kingdom, Singapore
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay, by region:
- Europe €93.4k–125.5k/yr (115 listings, Senior)
- North America $168.8k–230.1k/yr (2,841 listings, Senior)
- Asia $5,375–7,250/mo (10 listings, Senior)
Middle 50% of Engineering listings that do state pay in each region, in the currency most of them state. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 74d ago · last seen 3h ago
The listing
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.