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Remote Kernel Developer Jobs in New York (NOW HIRING)

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton ...

Kernel H ardware - A cceleration - V irtualization - O perating Systems - C ontainerization - K ... Ability to effectively prioritize and communicate proposed features and fixes in a remote-employee ...

C++ Software Engineer

New York, NY · On-site +1

$175K - $300K/yr

In-depth knowledge of the Linux kernel, systems programming * A passion for solving challenging ... In office Monday-Friday with 10 remote days per year Base Salary Range $175,000 - $300,000 ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... and kernel-level optimization across tasks. * Collaborate with other subject matter experts to ...

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CUDA Developer - Remote

YO AI Labs

New York, NY • Remote

Full-time

Posted 7 days ago


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.