ZipRecruiter

Log In

1

Gpu Performance Engineer Jobs in Chicago, IL (NOW HIRING)

DRW

AI Engineer

Chicago, IL · On-site

... performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or ... programming skills in Python. • Demonstrated experience in building, validating, deploying ...

DV Trading

Senior AI Engineer

Chicago, IL · On-site

$200K - $300K/yr

Experience managing GPU infrastructure (provisioning, scheduling, utilization monitoring) in a ... skills, and performance throughout the interview process. This role is also eligible for a ...

Jump Trading

Campus FPGA Engineer (Intern)

Chicago, IL · On-site

$250K/yr

This is an opportunity to work on complex problems around networking, high performance computing ... Any programming close to the metal with CPU, GPU, microprocessors, etc. * Linux kernel and driver ...

Jump Trading

Campus FPGA Engineer (Intern)

Chicago, IL

$250K/yr

This is an opportunity to work on complex problems around networking, high performance computing ... Any programming close to the metal with CPU, GPU, microprocessors, etc. * Linux kernel and driver ...

Jump Trading

Campus FPGA Engineer (Intern)

Chicago, IL · On-site

$250K/yr

This is an opportunity to work on complex problems around networking, high performance computing ... Any programming close to the metal with CPU, GPU, microprocessors, etc. * Linux kernel and driver ...

DV Trading

Senior AI Engineer

Chicago, IL

$200K - $300K/yr

Experience managing GPU infrastructure (provisioning, scheduling, utilization monitoring) in a ... skills, and performance throughout the interview process. This role is also eligible for a ...

Vizient

Senior AI Financial Operations Analyst

Chicago, IL · On-site

$88K - $109K/yr

... to fuel exceptional performance through an inclusive environment both now and in the future ... GPU infrastructure, and AI developer tooling. This role requires a blend of financial acumen ...

Introl

Data Center Technician

Chicago, IL · On-site

$30 - $36/hr

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... performance and business demand. Key Responsibilities GPU Infrastructure & Hardware Management ...

Introl

Data Center Technician

Chicago, IL · On-site

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... performance and business demand. Key Responsibilities GPU Infrastructure & Hardware Management ...

The LaSalle Group

AI Infrastructure Director

Chicago, IL · On-site

$300K/yr

Collaborate with Cloud Engineering on landing zones, networking, subscription governance, and ... Experience integrating and operating on-premise GPU and high-performance computing environments ...

previous page

Showing results 41-60

All JobsGpu Performance Engineer JobsGpu Performance Engineer Jobs in Chicago, IL

Gpu Performance Engineer information

See Chicago, IL salary details

$11

$61

$101

How much do gpu performance engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for gpu performance engineer in Chicago, IL is $61.92, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $70.10 per hour, depending on experience, location, and employer.

What are some common challenges faced by a GPU performance engineer when optimizing graphics workloads?

GPU Performance Engineers often encounter challenges such as identifying performance bottlenecks within complex graphics pipelines, balancing resource utilization, and achieving optimal frame rates across diverse hardware configurations. They must use specialized profiling tools and collaborate closely with developers, driver engineers, and QA teams to address issues like memory bandwidth limitations or shader inefficiencies. Staying updated with rapidly evolving GPU architectures and optimizing for both current and next-generation hardware are also key aspects of the role.

What is a GPU performance engineer?

A GPU Performance Engineer is a specialist who analyzes, optimizes, and improves the performance of graphics processing units (GPUs). They work on identifying bottlenecks, optimizing code, and ensuring that GPU hardware and software deliver maximum efficiency and speed. Their role may involve working with drivers, firmware, and applications to enhance graphics and compute workloads. This job is essential in industries like gaming, AI, and high-performance computing where GPU efficiency directly impacts user experience and system performance.

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

To thrive as a GPU Performance Engineer, you need a strong background in computer architecture, programming (C/C++), and a degree in computer science, electrical engineering, or a related field. Proficiency with GPU profiling tools (e.g., NVIDIA Nsight, AMD Radeon GPU Profiler), performance analysis frameworks, and parallel computing libraries like CUDA or OpenCL is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with developers and debugging performance bottlenecks. These skills and qualities are essential for optimizing GPU performance, ensuring efficient software-hardware interaction, and delivering high-quality graphics or compute solutions.

What is the difference between Gpu Performance Engineer vs Gpu Hardware Engineer?

AspectGpu Performance EngineerGpu Hardware Engineer
Primary FocusOptimizing GPU performance, benchmarking, and tuning softwareDesigning, developing, and testing GPU hardware components
Required SkillsProgramming, performance analysis, GPU architecture knowledgeHardware design, circuit analysis, FPGA/ASIC experience
Work EnvironmentSoftware development teams, labs for testing performanceHardware labs, manufacturing facilities, R&D centers
Common CertificationsNone specific, often requires computer engineering or related degreesElectrical engineering, VLSI design certifications

The Gpu Performance Engineer primarily focuses on optimizing and testing GPU software performance, while the Gpu Hardware Engineer designs and develops the physical GPU components. Both roles require a strong background in computer engineering, but differ in their core responsibilities and work environments.

What are popular job titles related to Gpu Performance Engineer jobs in Chicago, IL? For Gpu Performance Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Gpu Performance Engineer jobs in Chicago, IL look for? The top searched job categories for Gpu Performance Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Gpu Performance Engineer jobs? Cities near Chicago, IL with the most Gpu Performance Engineer job openings:
Gpu Performance Engineer jobs near you

Campus AI Research Engineer Intern

Jump Trading

Chicago, IL • On-site

$300K/yr

Other

Re-posted 2 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

We are seeking world-class engineers to collaborate with our research, trading, and engineering teams to build state-of-the-art ML systems that solve some of the most complex problems in quantitative finance. Whether optimizing training pipelines on high-performance computing clusters, developing low-latency inference systems, or pushing the boundaries of AI research from concept to production, you'll have the opportunity to work on impactful projects in a fast-paced, collaborative environment. If you are driven by technical challenges, eager to work with large-scale systems, and passionate about advancing AI/ML capabilities, we want to meet you.

What You'll Do:

  • Apply state-of-the-art techniques to complex and challenging domains.
  • Work closely with researchers and quants to build flexible and reusable frameworks for financial AI/ML.
  • Optimize training pipelines to make the best use of our HPC resources.
  • Integrate AI/ML models into production systems where latency matters.
  • Work across a mix of programming languages: C / C++ / Python / CUDA and other low-level GPU languages.
  • Build large-scale AI/ML systems that are observable, performant, and flexible. Help improve productivity by reducing the iteration cycle time on research.
  • Other duties as assigned or needed.

Skills You'll Need:

This role covers a wide range of potential projects and skills. We don't expect everyone to have all of these, but for the applicable areas we are looking for deep technical expertise.

  • Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
  • Proficiency in Python and/or C++
  • Proficiency in PyTorch, JAX, TensorFlow, and/or similar frameworks
  • Ability to thrive in a collaborative, team-oriented environment
  • Expertise in GPU or accelerator programming (CUDA, Triton, SYCL, ROCm, or equivalent)
  • Experience building AI/ML systems at scale (hundreds of TBs of training data, low-latency or high-throughput inference requirements)
  • Excellent written and verbal communication skills in English
  • Reliable and predictable availability

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

The estimated base salary for this role (annualized) is $300,000 per year.

Apply