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Internship Remote Entry Level Software Developer Jobs in New York

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 ...

New

Remote Commitment: 35 hours/week Role Responsibilities * Design realistic, multi-step software engineering challenges to push the limits of today's best AI coding agents. * Build reference solutions ...

Software Engineer

New York, NY · On-site +1

$100K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

However, they are open to remote work for someone with a depth of experience architecting and ... Seeking a Senior Backend Software Engineer with experience in design, development, and support of ...

Software Engineer

New York, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • PTO

However, they are open to remote work for someone with a depth of experience architecting and ... Seeking a Senior Backend Software Engineer with experience in design, development, and support of ...

Exposure to devops, statistics, and system architecture While helpful, we don't require you to have experience with systems-design, golang, or crypto; we're happy to hire clever engineers and support ...

Remote Job Overview 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 ...

New

Data Engineer - Remote

Jersey City, NJ · On-site +1

$125K - $150K/yr

NAVA Software solutions is looking for a Data Engineer with one of our clients. Details: Data Engineer Duration: 6 -12 months Location: Remote project Skill Sets & Experiences- * Experience modeling ...

Remote Apply Our mission is to automate coding. The first step in our journey is to build the best ... You care about developer experience, building solutions that are secure and frictionless. * You're ...

Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ... remote day Salary: $110-140k All your information will be kept confidential according to EEO ...

Help maintain and improve developer practices: CI/CD, testing, documentation, and operational ... remote day Salary: $110-140k All your information will be kept confidential according to EEO ...

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Infographic showing various Internship Remote Entry Level Software Developer job openings in New York as of July 2026, with employment types broken down into 84% Full Time, 6% Part Time, 1% Temporary, and 9% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

CUDA Developer - Remote

YO AI Labs

New York, NY • Remote

Full-time

Posted 3 days ago

New


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.