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Weekend Software Engineer Gpu Jobs in Lisle, IL (NOW HIRING)

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

Software Engineer II

Niles, IL · On-site

$100 - $140/hr

Identify Software Requirements: in collaboration with AI/ML research scientists, other software ... GPU programming; Hardware deep learning accelerators. * Applicants for this position must be ...

New

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

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 ...

Posted today

Software Engineer - ChicagoThis role is within the Investment Technology team. Our mission is to ... weekends.Requirements:Expertise with the.NET framework focusing on C#, ASP.Net, LINQ, Lambda ...

Software Engineer - ChicagoThis role is within the Investment Technology team. Our mission is to ... weekends.Requirements:Expertise with the.NET framework focusing on C#, ASP.Net, LINQ, Lambda ...

The 9/80 schedule allows employees to work nine-hour days, which creates a three-day weekend every ... As a Software Engineer (SWE), you will be a pivotal member of the Command & Control Embedded ...

New

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

As an Engineer II, Software , you will play a critical role in transforming cutting-edge AI/ML ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

Engineer II, Software

Niles, IL

$98K - $134K/yr

As an Engineer II, Software , you will play a critical role in transforming cutting-edge AI/ML ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

As an Engineer II, Software , you will play a critical role in transforming cutting-edge AI/ML ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

Engineer II, Software

Niles, IL · On-site

$98K - $134K/yr

As an Engineer II, Software , you will play a critical role in transforming cutting-edge AI/ML ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

Engineer II, Software

Niles, IL · On-site

$90.60 - $145/hr

As an Engineer II, Software , you will play a critical role in transforming cutting‑edge AI/ML ... GPU programming * Hardware deep learning accelerators Applicants for this position must be ...

Senior Software Engineer

Chicago, IL · On-site

$100K - $110K/yr

Senior Software Engineer Department: Business Strategy & Analytics Reports To: Director ... However, all positions may occasionally require non-traditional hours (nights, weekends, holidays ...

Senior Software Engineer

Chicago, IL · On-site

$100K - $110K/yr

Senior Software Engineer Department: Business Strategy & Analytics Reports To: Director ... However, all positions may occasionally require non-traditional hours (nights, weekends, holidays ...

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Weekend Software Engineer Gpu information

See Lisle, IL salary details

$62.6K

$145.5K

$202.6K

How much do weekend software engineer gpu jobs pay per year?

As of Aug 21, 2026, the average yearly pay for weekend software engineer gpu in Lisle, IL is $145,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $170,600.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Software Engineer Gpu vs Weekend Software Engineer Cloud?

AspectWeekend Software Engineer GpuWeekend Software Engineer Cloud
Required CredentialsBachelor's in Computer Science or related, experience with GPU programmingBachelor's in Computer Science or related, experience with cloud platforms
Work EnvironmentOn-site or remote, focused on GPU hardware and softwareRemote or hybrid, focused on cloud infrastructure and services
Industry UsageGaming, AI, high-performance computingWeb services, SaaS, enterprise solutions
Search & Comparison IntentYesYes

The Weekend Software Engineer Gpu and Weekend Software Engineer Cloud roles share similar educational backgrounds and work environments but differ in focus areas. The GPU role emphasizes hardware acceleration and high-performance computing, while the Cloud role centers on cloud infrastructure and services. Both are in high demand and often compared by job seekers exploring flexible tech roles.

What are the most commonly searched types of Software Engineer Gpu jobs in Lisle, IL?

The most popular types of Software Engineer Gpu jobs in Lisle, IL are:

What cities near Lisle, IL are hiring for Weekend Software Engineer Gpu jobs?

Cities near Lisle, IL with the most Weekend Software Engineer Gpu job openings:

GPU Programming Software Engineer Expert - Remote

YO AI Labs

Chicago, IL • Remote

$60 - $85/hr

Full-time

Posted yesterday

New


Job description

GPU Programmer / Software Engineer

Job Type: Contractor
Location: 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 programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities
  • 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.

Required Qualifications
  • 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