GPU Programming Software Engineer Expert - Remote

YO AI Labs View all jobs
Washington, DC, United States
14 days ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence C++ (Programming Language) Nvidia CUDA Linux OpenGL Shading Language Performance Tuning Scientific Computating Graphics Processing Unit (GPU) Internet Protocol Telephony Large Language Models 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., MANTECH seeks a motivated, career and customer-oriented VoIP Systems Engineer to join our team in McLean, VA. In this role, you’ll combine expertise in telephony systems, Linux ser…

  • 22 days ago

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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

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

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard · World Congress 2025

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

2:33 min

Architecting CUDA and the AI software stack

Michael Kagan Michael Kagan +1 · World Congress 2026 Europe

Videos

See all

Related articles

See all