Member of Technical Staff (GPU Performance Engineer)

Reka · AI/ML

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Full TimePosted Sep 7, 2026

Source: Jobicy

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Category
AI/ML
Employment type
Full Time
Experience level
Senior

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Typical AI/ML role$212,444 / year

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Original employer: RekaSource ATS: JobicyJob status: Active

Reka is hiring a Senior GPU Performance Engineer to optimize large-model training and infrastructure in a remote-first capacity for candidates in the US, UK, and Singapore.

The engineer will design and implement optimizations for training and serving large-scale multimodal AI models. Responsibilities include analyzing distributed bottlenecks, enhancing post-training processes like reinforcement learning, and collaborating with a global team of experts from leading AI organizations.

Why You’ll Love This Role

Remote from USA, UK, Singapore
Senior level position
Focus on AI infrastructure and GPU performance
Global research-focused team
5 Weeks of paid leave

What You’ll Bring

Fluency in Python and PyTorch
Proven experience implementing and training large deep learning models
Experience writing and debugging low-level GPU code using CUDA and C++
Experience scaling up GPU jobs using large-scale compute clusters like Slurm or Kubernetes
Demonstrated ability to analyze and optimize the performance of GPU-accelerated workloads

What You’ll Get

Five weeks of paid leave
Comprehensive healthcare benefits including vision and dental
Visa assistance for US employees

About the Company

Reka is a globally distributed foundation model startup headquartered in the San Francisco Bay Area. They focus on building useful multimodal artificial intelligence and are founded by veterans of major AI research labs.

Listing checked for remote eligibility · Posted Sep 7, 2026 · JobicyApply
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