Full-Time

Deployed Engineer

Pre Sales

Confirmed live in the last 24 hours

Codeium

Codeium

1-10 employees

Optimizes deep learning inference workloads

Enterprise Software
AI & Machine Learning

Junior, Mid

Mountain View, CA, USA

The role requires in-office presence five days a week.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
LLM

You match the following Codeium's candidate preferences

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

Degree
Experience
Requirements
  • Bachelor’s in CS/related field or equivalent experience, plus coding proficiency (in an OOP language).
  • At least 1 year in presales or consulting; comfortable translating complex tech into clear business value.
  • Familiarity with AI-powered developer tools (e.g., Codeium, Copilot, ChatGPT) and excitement for emerging technologies like LLMs.
  • Strong written and verbal abilities, capable of engaging both technical and non-technical audiences.
  • Ability to learn quickly, work independently, and thrive in a fast-paced environment.
Responsibilities
  • Present Codeium’s vision, benefits, and differentiators to stakeholders at every level, from developers to the C-suite.
  • Drive product discussions, conduct evaluations, and showcase how Codeium addresses diverse use cases.
  • Deliver technical training, create documentation and demos, and develop resources (blog posts, guides, videos) to help developers maximize productivity.
  • Provide critical feedback from customers to Product and Engineering, influencing the product roadmap and success strategies.

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. Clients can register their deep learning models with Codeium, which then optimizes their performance, making it a trusted solution for demanding applications like large-scale autonomous vehicle simulation. The goal of Codeium is to improve the efficiency and cost-effectiveness of deep learning applications for its clients.

Company Stage

Series C

Total Funding

$236.4M

Headquarters

San Jose, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for GPU optimization due to global chip shortages benefits Exafunction.
  • Growing interest in AI-powered tools indicates a robust market for Exafunction's services.
  • Recognition of AI-driven tools highlights the potential of Exafunction's optimization services.

What critics are saying

  • Emergence of new AI-powered tools could increase competition for Exafunction.
  • Global chip shortage may affect Exafunction's ability to optimize workloads.
  • FTC investigation into GPU market could impact Exafunction's operations or costs.

What makes Codeium unique

  • Exafunction optimizes deep learning inference workloads for improved resource utilization.
  • The company addresses CPU, I/O, and network bottlenecks in deep learning applications.
  • Exafunction's service is effective in demanding applications like autonomous vehicle simulation.

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Benefits

Professional Development Budget