USWFHRekaSep 07, 2026
RE

Member of Technical Staff (GPU Performance Engineer)

at Reka

Apply directly for Member of Technical Staff (GPU Performance Engineer) at Reka. Verified 100% work-from-home position. View requirements, benefits, salary & direct application link.

Level: Staff
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Job Overview

Published

Sep 07, 2026

Expires

Sep 22, 2026

Source

Reka

Region

US

Type

Remote / Work From Home

Category

WFH

Seniority

Staff

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.

Remote Work Guidelines & Career Insights

Practical advice for succeeding as a remote professional in this role.

Asynchronous Productivity

High-performing remote teams prioritize asynchronous communication. Document your progress clearly in tickets, maintain organized project repositories, and communicate status updates proactively without waiting for real-time meetings.

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Home Office & Security

Ensure a private, quiet workstation with a reliable high-speed broadband connection (min 50 Mbps). Maintain compliance with employer cybersecurity policies by utilizing secure password managers, 2FA authentication, and authorized VPN services.

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Resume & Application Tips

Tailor your CV specifically to the requirements of Member of Technical Staff (GPU Performance Engineer). Highlight quantifiable achievements from past roles (e.g. revenue growth, efficiency improvements, or software shipped) and showcase proven experience collaborating with remote teams.

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Virtual Interview Prep

Test your video and audio hardware before virtual calls. Prepare concise STAR-format stories demonstrating how you manage time independently, handle conflicting priorities across different time zones, and solve complex problems autonomously.

Frequently Asked Questions

Key answers about the application process, remote setup, and compensation for Member of Technical Staff (GPU Performance Engineer).

Is the Member of Technical Staff (GPU Performance Engineer) role 100% remote?+

Yes, this is a fully remote work-from-home position with Reka. You can collaborate asynchronously, manage project deliverables, and participate in virtual team meetings from your home office without daily commuting.

What qualifications and experience are needed for Member of Technical Staff (GPU Performance Engineer)?+

Applicants are typically evaluated on relevant industry background, core capabilities, and self-management. Key requirements include strong English communication skills, independent problem-solving abilities, and familiarity with modern remote collaboration platforms like Slack, Zoom, and project management tools.

Who is eligible to apply for this job?+

This remote opening welcomes applications from US and eligible remote regions. Candidates must ensure they meet the work authorization, residency, or independent contractor criteria required by Reka.

What is the salary and benefits package for Member of Technical Staff (GPU Performance Engineer)?+

The expected compensation for this role is competitive compensation aligned with global remote market standards. In addition to base compensation, remote positions often provide flexible working hours, home office equipment stipends, and professional growth opportunities.

How do I apply and what should I prepare for the interview?+

Click the "Apply Now" button on this page to visit Reka's official application portal. Tailor your resume to highlight relevant achievements, and prepare to discuss your experience working productively in an asynchronous remote environment.

Related Skills & Keywords

#member#technical#staff#gpu#performance#engineer#work from home#remote jobs

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Member of Technical Staff (GPU Performance Engineer)
Reka • Verified Remote
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