Full-Time

AI Support Engineer

Confirmed live in the last 24 hours

Codeium

Codeium

1-10 employees

Optimizes deep learning inference workloads

Data & Analytics
Automotive & Transportation
AI & Machine Learning

Junior, Mid

Mountain View, CA, USA

Category
Customer Experience
Customer Support
Customer Success & Support
Required Skills
Kubernetes
Python
Java
Docker
Go
Requirements
  • 2+ years of professional experience in a technical role.
  • Bachelor's or higher degree in Computer Science, Software Engineering, or related field.
  • Proficiency in programming languages such as Python, Java, or Go.
  • Knowledge of distributed computing, containerization, and orchestration technologies (e.g., Docker, Kubernetes).
  • Strong organizational skills and customer friendliness.
  • Strong problem-solving skills and the ability to work in a fast-paced, dynamic startup environment.
  • Passion for artificial intelligence and large language models. Hands-on experience with these technologies is not required, but is a plus.
Responsibilities
  • First line of response to any customer issues: Customer issues could stem from misuse of the software, errors in the deployment, or bugs in the underlying software. Support engineers are required to use their AI and CS knowledge to root cause, reproduce, and respond to any type of issue. Support engineers will help define processes and build automations to streamline our support function.
  • Escalation, resolution, and education: If a support engineer is unable to resolve a customer issue, they are responsible for escalating the issue to the appropriate Codeium stakeholders (deployed engineering, field IT, or enterprise engineering), tracking and understanding the resolution of the issue, and educating the customer on the solution.
  • Knowledge documentation and distribution: Support engineers are responsible for documenting learnings about failure modalities across use and deployment and distributing that knowledge to end customers and internal engineering teams.
  • Product testing and feedback: Codeium’s product works across a range of IDEs, programming languages, and modalities. Support engineers will be instrumental in testing each release. Support engineers will also use their CS and AI skills to automate parts of the QA process.

Codeium provides a service that optimizes deep learning inference workloads for businesses using AI applications. This service enhances the efficiency of computations that allow AI to make decisions based on data, leading to significant improvements in resource utilization and cost savings for clients. Codeium's approach involves relocating GPU code to remote resources that are highly utilized, while keeping the core logic on more affordable CPU instances. This method effectively addresses common bottlenecks in CPU, I/O, and network that can hinder the performance of deep learning applications. Codeium's service is particularly beneficial for demanding applications, such as large-scale autonomous vehicle simulations, where performance is critical. The company operates on a business model that charges clients for optimizing their deep learning models, ensuring that they achieve better performance and lower costs.

Company Stage

Series C

Total Funding

$236.4M

Headquarters

San Jose, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-90%

2 year growth

-88%
Simplify Jobs

Simplify's Take

What believers are saying

  • The substantial funding round indicates strong investor confidence and provides resources for scaling and improving the product.
  • Working at Codeium offers the opportunity to be at the forefront of AI-driven coding technology, which is a rapidly growing and highly impactful field.

What critics are saying

  • The competitive landscape for AI-powered coding tools is intensifying, with major tech companies also investing heavily in similar technologies.
  • Rapid expansion and scaling can lead to operational challenges and potential dilution of company culture.

What makes Codeium unique

  • Codeium's focus on generative AI for coding sets it apart from traditional coding tools, offering a more advanced and efficient solution for developers.
  • The recent $65M Series B funding led by Kleiner Perkins provides significant financial backing, enabling rapid innovation and expansion.

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