Internship

Deployed Engineer Internship

Posted on 1/11/2025

Codeium

Codeium

1-10 employees

Optimizes deep learning inference workloads

No salary listed

Mountain View, CA, USA

The team goes into the office 5 days a week.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Requirements
  • Basic coding skills
  • Willingness to learn and take on new challenges with limited context
  • Ability to collaborate in teams of technical and non-technical individuals
  • Be able to communicate technology in a simple manner
  • Be awesome at demos and videos
  • Passion for AI and new technology
  • Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others
  • Writing tests and automation are a plus
  • Must be planning on graduating in Fall 2025 or Summer 2026
Responsibilities
  • Work directly with customers to understand their pain points and challenges in software development
  • Assist Deployed Engineers with conducting technical discovery
  • Provide technical training
  • Create technical documentation
  • Troubleshoot deployments and resolve customer issues
  • Deploy the Codeium solution (configuration, implementation, and testing)
  • Support the team in demonstrating how organizations can optimize their software development lifecycle through AI assistance
Desired Qualifications
  • Experience in consulting roles, technical sales roles, or previous software engineering internships is a huge plus
  • Familiarity with AI-powered developer tools like Codeium, Copilot, ChatGPT, and others is a strong plus
  • Writing tests and automation are a plus

Codeium focuses on enhancing the efficiency of deep learning applications by optimizing how they run on computing resources. The company's main service involves relocating GPU code to remote resources that are more cost-effective, such as spot instances, while keeping essential logic on less expensive CPU instances. This method helps businesses improve their resource utilization and reduce operational costs associated with deep learning workloads. Unlike many competitors, Codeium simplifies the process for clients by managing the complexities of cluster management and performance tuning, allowing them to concentrate on developing their AI applications. The goal of Codeium is to provide businesses in the AI sector with solutions that maximize the performance and cost-effectiveness of their deep learning infrastructure.

Company Size

1-10

Company Stage

Series C

Total Funding

$243M

Headquarters

San Jose, California

Founded

2021

Simplify Jobs

Simplify's Take

What believers are saying

  • AI model compression techniques complement Exafunction's services, reducing GPU computational load.
  • Federated learning benefits from Exafunction's remote resource optimization for distributed inference tasks.
  • The rise of spot instances aligns with Exafunction's strategy for cost-effective GPU workload relocation.

What critics are saying

  • Emerging startups offering similar solutions could erode Exafunction's market share.
  • Rapid AI model evolution may outpace Exafunction's current optimization capabilities.
  • Dependency on cloud providers for GPU resources poses risks if pricing or availability changes.

What makes Codeium unique

  • Exafunction optimizes deep learning inference, enhancing GPU utilization and reducing costs.
  • The company relocates GPU code to remote resources, improving computational efficiency.
  • Exafunction's team includes leaders from top deep learning companies, ensuring cutting-edge solutions.

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Benefits

Professional Development Budget

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