Member of Technical Staff (GPU Performance Engineer)

Reka Singapore, UK, USA 2026-09-07T19:38:55+00:00

What is Member of Technical Staff (GPU Performance Engineer)?

Member of Technical Staff (GPU Performance Engineer) is a professional role at Reka based in Singapore, UK, USA. This role offers competitive compensation and the opportunity to work in the technology sector with modern tools and methodologies.

Employment Type: Type: Full-time

Work Arrangement: Remote work available with flexible scheduling

Industry: Information Technology & Professional Services

Complete 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.

Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/member-of-technical-staff-gpu-performance-engineer-reka

What skills are required for this member of technical staff (gpu performance engineer)?

The essential skills and qualifications for this position include:

Programming

Additional preferred qualifications may include problem-solving abilities, strong communication skills, and experience working in collaborative team environments.

What type of employment is this member of technical staff (gpu performance engineer)?

This is a Type: Full-time position offering:

  • Competitive compensation in EUR currency
  • Remote work flexibility
  • Professional development opportunities
  • Modern technology stack and tools

How can I apply for this member of technical staff (gpu performance engineer)?

To apply for this position, you have the following options:

Apply Online

Submit your application directly through the original job posting for the fastest response.

Contact Person

Reka

Application Tips

  • Tailor your application to highlight relevant experience
  • Include specific examples of your technical skills
  • Mention your availability and preferred start date
  • Research the company and role before applying
View Original Posting