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Cuda Kernel Engineer Jobs in Chicago, IL (NOW HIRING)

YO AI Labs

CUDA Software Engineer - Remote

Chicago, IL · Remote

$60 - $100/hr

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 ...

YO AI Labs

CUDA Developer - Remote

Chicago, IL · Remote

$60 - $100/hr

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 ...

YO AI Labs

CUDA Engineering Expert - Remote

Chicago, IL · Remote

$60 - $100/hr

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 ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

... CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA ...

Parallel Works

Senior HPC Systems Engineer

Chicago, IL · Remote

$107K - $146K/yr

Driver and CUDA stack, DCGM health checks, XID triage, fabric manager and NVLink checks, InfiniBand ... Kernel and network tuning, systemd, cgroups, NUMA. * Production Slurm administration. You have ...

All JobsCuda Kernel Engineer JobsCuda Kernel Engineer Jobs in Chicago, IL

Cuda Kernel Engineer information

What is a CUDA Kernel Engineer?

Cuda Kernel Engineers are specialized software developers who design, implement, and optimize parallel computing algorithms using NVIDIA's CUDA platform. They write 'kernels,' which are functions that run on Graphics Processing Units (GPUs) to accelerate computational tasks in areas such as machine learning, scientific simulations, and graphics rendering. These engineers need strong skills in C/C++ programming, GPU architecture, and performance optimization techniques. Their work is crucial for applications that require high-speed data processing and efficient resource utilization.

What skills and qualifications are needed to be a CUDA Kernel Engineer?

To thrive as a CUDA Kernel Engineer, you need strong proficiency in C/C++ programming, parallel computing concepts, and a solid foundation in GPU architectures, typically supported by a degree in computer science or a related field. Expertise in NVIDIA CUDA toolkits, GPU profiling tools like Nsight, and familiarity with version control systems are essential. Analytical thinking, problem-solving abilities, and effective collaboration skills help engineers optimize code and work well within development teams. These skills and qualities are crucial for delivering high-performance, scalable GPU solutions in computationally intensive applications.

What are common challenges faced by CUDA Kernel Engineers when optimizing GPU code for performance?

Cuda Kernel Engineers often encounter challenges such as managing memory hierarchy efficiently, minimizing data transfer between host and device, and avoiding thread divergence. Ensuring optimal occupancy and maximizing parallelism while preventing bottlenecks like bank conflicts or uncoalesced memory access are also key concerns. Collaborating closely with software architects and data scientists is common, as solutions frequently require balancing algorithmic accuracy with hardware limitations. Addressing these challenges requires continuous profiling, testing, and iterative optimization.

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Cuda Kernel Engineer jobs near you
Infographic showing various Cuda Kernel Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 59% In-person, and 41% Remote job distribution.

CUDA Engineer - Kernel Optimization - AI Trainer

Chicago, IL • On-site, Remote

Mercor
See more jobs at Mercorexternal

$144K/yr

Full-time

Posted 8 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: CUDA Engineering Expert
Type: Contract
Compensation: $500/hour
Location: Remote

Role Responsibilities

  • Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
  • Use profiler metrics like L2 cache hit rate and occupancy to guide kernel improvements.
  • Review GPU kernel implementations and identify bottlenecks without deep algorithmic background.
  • Write and modify C++17, Python, and GPU programming code.
  • Apply expertise in CUDA, HIP, and shader programming to improve performance.
  • Document optimization decisions clearly, focusing on profiler metrics' utility.

Qualifications

Must-Have

  • Available to work at least 20 hrs/wk.
  • Fluent in core C++ features through C++17.
  • Working knowledge of Python and Git.
  • Fluent in one GPU programming model like CUDA or HIP.
  • 1+ year of professional or research experience with GPUs.
  • Strong understanding of GPU profiler performance metrics.

Preferred

  • Experience with CUDA, HIP, and CUDA C++ Core Libraries.
  • Experience optimizing kernels for NVIDIA Blackwell hardware.
  • Familiarity with NSight Compute.
  • Prior experience with NVIDIA, AMD, or Qualcomm.
  • Open-source contributions related to GPU kernel optimization.

Application Process (Takes 20–30 mins to complete)

  • Submit your resume or relevant technical background.
  • Qualified applicants may complete a brief technical assessment or submit additional information.

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor