GPU Programmer - Remote

YO AI Labs View all jobs
Atlanta, GA, United States
14 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Compensation
$49,000.0 - $91,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Unix C++ (Programming Language) Nvidia CUDA Computer Programming Perl (Programming Language) OpenGL Shading Language Network Programming Performance Tuning Scientific Computating Graphics Processing Unit (GPU) Large Language Models
+1 more
Gpu Programming

Job description

Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL. Profile and optimize GPU kernels and shaders for performance and efficiency. Develop host-side logic and GPU integrations using C++. Create GPU-focused tasks and solutions for AI/LLM applications. Analyze performance bottlenecks and implement optimization strategies., Unix System Programmer Unix/Linux System Programmer with strong expertise inC programming, Perl scripting, and Unix/Linux system and network programming…

  • 17 hours ago
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Requirements

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions., Strong experience with GPU programming, particularly on NVIDIA GPUs. Proficiency in CUDA, WebGPU, or GLSL. Strong C++ programming skills. Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields. Strong understanding of GPU architecture and performan

Benefits & conditions

Lightfold

  • Atlanta, GA
  • $75,000-95,000 per year Lightfold Games · Atlanta, GA Lightfold is a creator-first entertainment studio bringing fans and creators together to build original worlds across animation, comics, games, and …

  • 2 days ago +

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:30 min

Exploring the Python-enabled GPU programming software stack

Paul Graham Paul Graham · World Congress 2026 Europe

6:21 min

Previewing upcoming hardware acceleration capabilities for Python environments

Chris Heilmann +2 · LIVE

2:03 min

Microsoft integrating native Unix coreutils into Windows environments

Chris Heilmann +2 · LIVE

48 sec

Transitioning from scaling GPU workloads to building coding agents

Alex Laubscher Alex Laubscher · World Congress 2025

1:37 min

Accelerating compute with focused developer tools

Julia Koch Julia Koch +1 · World Congress 2026 Europe

3:32 min

Evolution of general purpose GPU computing and Python

Paul Graham Paul Graham · World Congress 2025

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