Full-Time

Software Engineer – New Grad

Confirmed live in the last 24 hours

Codeium

Codeium

1-10 employees

Optimizes deep learning inference workloads

Enterprise Software
AI & Machine Learning

Entry

Mountain View, CA, USA

The team goes in 5 days a week into the office.

Category
Full-Stack Engineering
Software QA & Testing
Software Engineering

You match the following Codeium's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelors / Masters degree in computer science, mathematics or physics
  • Ideally prior internships, attendance at a top university, or participation in programming contests
  • A self-starter with a hunger to dream up, plan, and execute tasks independently.
Desired Qualifications
  • Prior internships
  • Attendance at a top university
  • Participation in programming contests

Codeium provides a service that optimizes deep learning inference workloads for businesses using AI applications. The service enhances the performance of these applications by addressing common bottlenecks in CPU, I/O, and network, which can hinder the effective use of GPU hardware. Codeium achieves this by relocating GPU code to remote resources that are highly utilized, while keeping the core logic on more affordable CPU instances. This approach can lead to significant improvements in resource utilization and cost savings, sometimes up to tenfold. The company’s clients include those involved in demanding applications, such as large-scale autonomous vehicle simulations. Codeium's goal is to improve the efficiency and cost-effectiveness of deep learning applications, making it a trusted partner for businesses looking to enhance their AI capabilities.

Company Stage

Series C

Total Funding

$236.4M

Headquarters

San Jose, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for GPU optimization due to global chip shortages.
  • Increased interest in remote GPU resource utilization aligns with Exafunction's offerings.
  • Rising investment in AI startups indicates strong market interest in optimization solutions.

What critics are saying

  • Competition from Codeium's Windsurf Editor could attract clients away from Exafunction.
  • Codeium's $150M funding may lead to aggressive market expansion and increased competition.
  • Global chip shortage could impact Exafunction's access to necessary GPU resources.

What makes Codeium unique

  • Exafunction optimizes deep learning inference workloads for improved resource utilization.
  • The company addresses bottlenecks in CPU, I/O, and network for better GPU utilization.
  • Exafunction's service is proven effective in large-scale autonomous vehicle simulations.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Professional Development Budget