---
title: 'Member of Technical Staff (GPU Performance Engineer) at Reka'
canonical: 'https://feeny.ai/job/member-of-technical-staff-gpu-performance-engineer-reka-us-uk-1vtpm3jbn8ma'
type: 'job'
last_seen: '2026-09-09'
---

# Member of Technical Staff (GPU Performance Engineer) at Reka

- **Company:** Reka
- **Location:** US UK, Singapore
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-01-08
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/reka/6595a48b-8dfc-479d-ba2a-0bf9d188ec4d

## 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 Reka

## Company Overview
- **One-liner**: Reka is an AI research and product company building foundational multimodal models and infrastructure for understanding and interacting with the physical world.
- **Entity Type**: Private (Series B)
- **Headquarters**: Sunnyvale, California, United States
- **Founded**: 2022
- **Founders**: Dani Yogatama (CEO), Mikel Artetxe, Qi Liu

## Core Business
- **Primary industry/industries**: Artificial Intelligence, Foundation Models, Multimodal AI, Enterprise AI Infrastructure
- **Target customers**: B2B — enterprises, developers, and organizations needing multimodal AI models (vision, video, language) for deployment at scale.
- **Mission or purpose statement**: To advance science and build generative AI models for the benefit of humanity, organizations, and enterprises; specifically, to build models and infrastructure for the physical AI era.

## Products & Services
- **Reka Core, Flash, Edge**: A family of multimodal language models available in three sizes, supporting comprehensive multimodal input (text, images, video, audio), with leading reasoning and coding capabilities. Deployable on-premise, via API, or in the cloud.
- **Infer (Inference Infrastructure)**: An inference engine and API for multimodal AI, built for speed, scale, and enterprise reliability.
- **Video Processing Infrastructure**: Scalable infrastructure to tag, reason over, search, and clip large volumes of video data, available via API, MCP, or the Reka app.
- **Claru (Data Infrastructure)**: Builds training data for frontier AI, including egocentric video, robotics trajectories, world-model footage, and expert human judgment at scale.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding: **$170M** across two rounds (Series A: $60M in June 2023; Series B: $110M in August 2025)
- **Notable Investors/Partners**: DST Global, Radical Ventures, Snowflake (strategic investor), NVIDIA (led Series B)
- **Growth Signals**: Headcount grew ~10.7% YoY to 44 employees; actively hiring for 6 technical roles (ML, Robotics, GPU Performance, Applied AI); expanding globally with presence in 9 countries.

## Competitive Advantages
- **Multimodal-native models**: Built from the ground up to handle text, images, video, and audio — not stitched together from separate systems.
- **Flexible deployment**: Models can run on-premise, in the cloud, or at the edge (e.g., Reka Edge), appealing to security-conscious enterprises.
- **World-model focus**: Unique emphasis on physical-world understanding (robotics trajectories, egocentric video, video processing) positions them for the next wave of embodied AI.
- **Founding team pedigree**: Core team from DeepMind, Google Brain, and FAIR, giving deep research credibility.

## Strategic Focus
- **Physical AI infrastructure**: Building the data, inference, and model stack for robotics, autonomous systems, and world-model applications.
- **Enterprise adoption**: Prioritizing on-premise deployment, security, and customization for large organizations.
- **Global, remote-first scaling**: Hiring top talent worldwide, with a focus on engineering and research roles.

## Why Work Here
- **Remote-first culture**: Fully remote flexibility with a "work from anywhere" policy and budget to personalize your home workspace.
- **Strong benefits**: Full health/dental/vision, mental health support, 25 days PTO, family support, stock options, and "Reka Appreciation Days" (extra company-wide days off).
- **Global team**: 17 nationalities represented; regular international offsites (Japan, Bali, Las Vegas, etc.) and in-person hackathons for creative collaboration.
- **Engineering culture**: Described as a team of "curious builders, researchers, and engineers" who value open communication, speed, ownership, and excellence. Titles matter less than curiosity and shared ambition.
- **High-impact roles**: Active openings in ML, robotics, GPU performance, and applied AI — working on frontier research with real-world deployment.

## Sources
1. [reka.ai](https://reka.ai/)
2. [reka.ai/careers](https://reka.ai/careers)
3. [reka.ai/teams](https://reka.ai/teams)
4. [LinkedIn - Reka AI](https://www.linkedin.com/company/reka-ai)
5. [reka.ai - Series A Announcement](https://reka.ai/news/announcing-our-60m-funding-to-build-generative-models-and-advance-ai-research)
6. [jobs.ashbyhq.com/reka](https://jobs.ashbyhq.com/reka)

## Other roles at Reka

- [Program Lead](https://feeny.ai/job/program-lead-reka-san-francisco-e9avd6xykztd) — San Francisco, CA
- [Supply Lead](https://feeny.ai/job/supply-lead-reka-united-states-t9hgsxn43wxr) — United States
- [Member of Technical Staff (Robotics)](https://feeny.ai/job/member-of-technical-staff-robotics-reka-united-kingdom-p85pcqwtmkbx) — United Kingdom
- [Member of Sales Staff](https://feeny.ai/job/member-of-sales-staff-reka-united-states-dqnn4qw6mp13) — United States
- [Member of Technical Staff (Machine Learning Engineer)](https://feeny.ai/job/member-of-technical-staff-machine-learning-engineer-reka-remote-45hyjxyn206a)
- [Member of Technical Staff (Data Intelligence)](https://feeny.ai/job/member-of-technical-staff-data-intelligence-reka-us-uk-n155ext6casq) — US UK, Singapore
- [Member of Technical Staff (Applied AI)](https://feeny.ai/job/member-of-technical-staff-applied-ai-reka-us-gk4gysdvaahe) — US, United Kingdom
- [Member of Technical Staff (ML)](https://feeny.ai/job/member-of-technical-staff-ml-reka-us-nssbv180j6qd) — US, United Kingdom