Simplify Logo

Full-Time

AI GPU Performance Engineer

Confirmed live in the last 24 hours

Modular

Modular

51-200 employees

AI developer platform for unified hardware and frameworks

Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$127.5k - $242kAnnually

+ Bonus + Equity

Senior, Expert

Remote in USA + 1 more

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
CUDA
Requirements
  • Deep understanding of computer architecture
  • 3+ years of relevant experience working on complex code and software systems
  • Experience with GPU programming languages such as CUDA or OpenCL
Responsibilities
  • Design, develop, and optimize high-performance AI numeric and data manipulation kernels/operators for GPUs
  • Achieve state-of-the-art performance by leveraging software and micro-architectural features of GPUs
  • Work with compiler, framework, runtime, and serving teams to deliver end-to-end performance that fully utilizes GPU workstations and servers
  • Collaborate with machine learning researchers to guide system development for future ML trends

The company offers a next-generation AI developer platform that unifies AI frameworks and hardware, providing unparalleled performance and cost savings. The platform includes a new programming language, Mojo, and a modular engine that enables model deployment, compute portability, and scalability, revolutionizing AI infrastructure.

Company Stage

Series A

Total Funding

$130M

Headquarters

Palo Alto, California

Founded

2022

Growth & Insights
Headcount

6 month growth

13%

1 year growth

54%

2 year growth

910%