GPU System Engineer

Valiant Technologies LLC; Chicago (IL); Presencial; USD 120.000 - 180.000; Tempo integral

Resumo da vaga

Valiant Technologies LLC in Chicago seeks expert-level GPU Software Engineers to support a high-visibility Maya program, building tooling atop a custom compiler and SDK. You will develop, optimize, and port GPU kernels and AI workloads for a specialized hardware platform, collaborating with platform architects and compiler teams to push end-to-end performance.

The role demands exceptional skills in CUDA/C++, Python, and HPC benchmarks, with a track record of delivering high-performance GPU

Qualificações

• Requires expert GPU software engineering and optimization.
• Proven ability to port AI/ML workloads to specialized hardware.
• Experience with HPC benchmarks such as HPL and BERT is a plus.

Responsabilidades

• Develop high-performance GPU kernels for specialized hardware using Torch and Triton.
• Build software leveraging custom compiler toolchains and SDK.
• Design and implement kernel-level optimizations to improve hardware execution.
• Port and optimize AI/ML models to proprietary SDK environments.
• Run HPC benchmarks and stress workloads to validate platform performance.
• Collaborate with platform architects and compiler teams to enhance end-to-end performance.

Conhecimentos

GPU expertise

Kernel optimization

Python

C++

AI model porting

Ferramentas

Torch

Triton

Custom compiler SDK

Descrição da vaga

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Description:

We are seeking expert-level GPU Software Engineers to support a high-visibility platform initiative within the Maya program, focused on building software tooling on top of a custom compiler and SDK.

The role involves developing, optimizing, and porting GPU kernels and AI workloads to a specialized hardware platform.

Key Responsibilities:

• Develop high-performance GPU kernels for specialized hardware platforms using Torch and Triton frameworks
• 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 open-source AI/ML models for proprietary or custom SDK environments
• Adapt and run high-performance computing benchmarks and stress workloads, including:
• High Performance LINPAC (HPL)
• BERT and similar benchmark-style workloads
• 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

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.