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Temporary Software Engineer Gpu Jobs in Elmhurst, IL

YO AI Labs

GPU Programmer - Remote

Chicago, IL · Remote

$60 - $85/hr

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 ...

YO AI Labs

GPU Programming Expert - Remote

Chicago, IL · Remote

$60 - $85/hr

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 ...

YO AI Labs

CUDA Software Engineer - Remote

Chicago, IL · Remote

$60 - $100/hr

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 ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

Strong software-engineering experience in a modern backend language such as Python, Java, Scala, Go ... Familiarity with GPU workloads, model serving or ML evaluation systems. * Experience supporting AI ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

Strong software-engineering experience in a modern backend language such as Python, Java, Scala, Go ... Familiarity with GPU workloads, model serving or ML evaluation systems. * Experience supporting AI ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

Partner with data scientists and ML engineers to turn prototypes into maintainable software ... Familiarity with GPU workloads, model serving or ML evaluation systems. * Experience supporting AI ...

Actalent

Software Engineer

Schaumburg, IL

$55 - $80/hr

Software Engineer (Mid to Principle Level Openings!!) We have multiple openings from Midlevel to ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

Strong software-engineering experience in Python, C++, Java, Go or another relevant systems/backend ... Experience with GPU-backed or large-scale batch workloads. The expected base salary range for this ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

Strong software-engineering experience in Python, C++, Java, Go or another relevant systems/backend ... Experience with GPU-backed or large-scale batch workloads. The expected base salary range for this ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

Strong software-engineering experience in Python, C++, Java, Go or another relevant systems/backend ... Experience with GPU-backed or large-scale batch workloads. The expected base salary range for this ...

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Temporary Software Engineer Gpu information

See Elmhurst, IL salary details

$63.2K

$146.9K

$204.7K

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

As of Sep 4, 2026, the average yearly pay for temporary software engineer gpu in Elmhurst, IL is $146,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $172,300.00 per year, depending on experience, location, and employer.

What does a temporary software engineer GPU do?

A Temporary Software Engineer GPU is responsible for designing, developing, and optimizing software that interacts with graphics processing units (GPUs), typically for a specific project or short-term period. Their duties may include writing code to improve GPU performance, working on graphics or compute-intensive applications, and collaborating with hardware and software teams to ensure efficient GPU utilization. These roles are often contract-based and require strong programming skills in languages such as C++ or CUDA, as well as a solid understanding of GPU architectures.

What are the typical projects a temporary software engineer GPU might work on, and how do they collaborate with permanent team members?

As a Temporary Software Engineer GPU, you can expect to be assigned to specific, time-bound projects such as optimizing graphics performance, supporting new hardware integration, or debugging GPU-related issues. You’ll often work closely with permanent engineers, participating in code reviews, daily stand-ups, and cross-functional meetings to ensure alignment and knowledge transfer. Collaboration is key, as you may need to quickly get up to speed with existing codebases and tools, and contribute solutions that fit seamlessly into larger, ongoing projects. The role offers a fast-paced environment where adaptability and strong communication skills are highly valued.

What are the key skills and qualifications needed to thrive as a temporary software engineer GPU, and why are they important?

To thrive as a Temporary Software Engineer GPU, you need a solid background in computer science, experience with GPU programming (such as CUDA or OpenCL), and proficiency in languages like C++ or Python. Familiarity with GPU development environments, debugging tools, and version control systems, along with any relevant certifications, is highly valuable. Strong problem-solving abilities, adaptability, and effective teamwork skills help set candidates apart in this fast-evolving field. These skills enable efficient development, optimization, and integration of GPU-accelerated applications, which is crucial for meeting project deadlines and technical goals.

What cities near Elmhurst, IL are hiring for Temporary Software Engineer Gpu jobs?

Cities near Elmhurst, IL with the most Temporary Software Engineer Gpu job openings:

Temporary Software Engineer Gpu jobs near you

GPU Programming Software Engineer Expert - Remote

YO AI Labs

Chicago, IL • Remote

$60 - $85/hr

Full-time

Posted 15 days ago

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