Senior GPU Systems Engineer for High-Performance AI

Quantum Technologies. LLC; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Quantum Technologies LLC is seeking an expert-level GPU Software Engineer to support a high-visibility platform initiative. You will develop, optimize, and port GPU kernels and AI workloads to a specialized hardware platform, working with a custom compiler and SDK.

You'll collaborate with platform architects and compiler teams to enhance end-to-end system performance, ensuring robust validation and performance testing across current and next-generation hardware.

Qualifications

• Expert-level GPU software engineering for high-visibility platform initiatives.
• Develop and optimize GPU kernels for specialized hardware.
• Port AI/ML models into custom SDK environments.
• Collaborate with platform architects and compiler teams to improve system performance.

Responsibilities

• Develop high-performance GPU kernels for specialized hardware using Torch and Triton.
• Build software solutions leveraging custom compiler toolchains and SDK capabilities.
• Design and implement kernel-level optimizations to control and improve hardware execution behavior.
• Port and optimize AI/ML models for proprietary or custom SDK environments.
• Adapt and run HPC benchmarks and stress workloads, including HPL and BERT.
• Develop stress testing and validation workloads aligned with hardware behavior and platform reliability goals.
• Support validation and performance testing for both current and next-generation hardware platforms.
• Collaborate closely with platform architects, compiler teams, and system engineers to enhance end-to-end system performance.

Skills

GPU kernel development

High-performance computing

AI/ML acceleration

Benchmarking

Tools

Torch

Triton

Custom compiler toolchains

SDK

Job description

Quantum Technologies LLC is seeking an expert-level GPU Software Engineer to support a high-visibility platform initiative. You will develop, optimize, and port GPU kernels and AI workloads to a specialized hardware platform, working with a custom compiler and SDK.

You'll collaborate with platform architects and compiler teams to enhance end-to-end system performance, ensuring robust validation and performance testing across current and next-generation hardware.