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Weekend Software Engineer Gpu Jobs in Chicago, IL

Jobtailor

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

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

We are hiring a Senior Software Engineer to build AI platform and production systems that support ... Nice To Have - Experience supporting GPU inference workloads, large-model deployment pipelines ...

HERE Technologies

Sr. Software Engineer

Chicago, IL

$130K - $140K/yr

What's the role?We are hiring a Senior Software Engineer to build AI platform and production ... Nice To Have- Experience supporting GPU inference workloads, large-model deployment pipelines ...

HERE Technologies

Sr. Software Engineer

Chicago, IL · On-site

$130K - $140K/yr

We are hiring a Senior Software Engineer to build AI platform and production systems that support ... Nice To Have - Experience supporting GPU inference workloads, large-model deployment pipelines ...

Auria

Software Engineer - Sentinel

Chicago, IL · On-site

$70 - $175/hr

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

Shure

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 ...

Shure

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 ...

Shure

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 ...

Shure

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 ...

Shure Incorporated

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 ...

Shure

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 ...

Chicago Blackhawks

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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All JobsSoftware Engineer Gpu JobsWeekend Software Engineer Gpu JobsWeekend Software Engineer Gpu Jobs in Chicago, IL

Weekend Software Engineer Gpu information

See Chicago, IL salary details

$65.4K

$152K

$211.7K

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

As of Aug 19, 2026, the average yearly pay for weekend software engineer gpu in Chicago, IL is $151,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $178,200.00 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 Chicago, IL?

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

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

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

Weekend Software Engineer Gpu jobs near you

Software Engineer II

Jobtailor

Niles, IL • On-site

$100 - $140/hr

Other

Posted yesterday

New

Job description

Responsibilities
  • Collaborate: work as part of a cross-functional team to create, design & implement cutting edge features and products
  • Ideate: brainstorm with research scientists and other stakeholders to identify use cases of value to Shure customers empowered by AI/ML and opportunities to optimize and platform solutions.
  • Conduct Research: survey literature and conduct original research and experiments to optimize implementation strategies and characteristics, solve problems, share findings and prototypes with colleagues, senior staff, and executives
  • Identify Software Requirements: in collaboration with AI/ML research scientists, other software engineers, and product managers. Identify and document architectural options and opportunities for platforming and reuse including working research scientists to standardize platformed solutions to frameworks and software deployments.
  • Implement Prototypes: software features in diverse areas from embedded (primary) to mobile apps, desktop, cloud, and database applications.
  • Suggest subject‑matter‑relevant features and other software opportunities to enhance research scientists’ chances of success (e.g. DSP approaches).
  • Develop Product Software Features: Implement, optimize, and test software applications and functionalities for real-time, semi‑latent, and offline applications.
  • Work with research scientists to identify and optimize input features, frame rates, model structures, and other characteristics that impact implementation characteristics.
  • Evaluate: Validate implemented AI/ML and other algorithm features: write software to automate measurement of AI and algorithmic features against defined metrics
  • Lead: Mentor, coach, and monitor the work of less experienced engineers.
  • Follow Coding Best Practices: Participate in code reviews and provide constructive feedback to peers.
  • Stay Current in Field: track progress in software methodologies, tools, and best practices
  • Participate in Working Groups: to promote collaborative problem solving in specific areas, sometimes tangential to your expertise
  • Design and Document Software Approach: in collaboration with team (or on own in independent projects) documented in collaborative systems
  • Invent: contribute to intellectual property, participate in brainstorming, and encourage general innovation in the group
Requirements
  • Bachelor’s degree in computer science, computer engineering or related field; with minimum 2 years of related experience OR Master’s degree
  • Proficiency in C++
  • Proficiency in one or more other high level programing languages such as Python, Rust, Java, etc
  • Proficiency in software development principles, design patterns, and object-oriented design methodology, multi-thread real-time application.
  • Experience with embedded software development, Mac & PC application development, mobile apps, or cloud-based applications and services.
  • Working knowledge of signal processing, computer vision, and machine learning
  • Experience with any of the following highly desirable: Real time video applications: processing, encoding, transmission, etc; Embedded Linux or AOSP development; GPU programming; Hardware deep learning accelerators.
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas.
Core Competencies

Demonstrates expertise in C++ and proficiency in additional programming languages such as Python or Java, with a strong foundation in software development principles and embedded software development. Capable of collaborating with cross-functional teams to design and implement innovative AI/ML solutions while adhering to coding best practices.

Tools & Technologies
  • Embedded Linux
  • AOSP
  • GPU Programming
  • Cloud-Based Applications
  • Mac Application Development
  • PC Application Development
  • Mobile Apps
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