Full-Time

Distributed Systems Engineer

Posted on 9/26/2024

WebAI

WebAI

51-200 employees

Modular deep learning platform for enterprises

AI & Machine Learning
Financial Services
Healthcare

Mid, Senior

Remote in USA

Flexible work week.

Category
Backend Engineering
Software Engineering
Required Skills
Rust
Python
Apache Kafka
Cassandra
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Strong problem-solving skills and the ability to work effectively in a collaborative environment.
  • Excellent communication and interpersonal skills.
  • Deep understanding of distributed system architectures, including microservices, event-driven architectures, and data consistency models.
  • Proven experience in designing and implementing distributed systems.
  • Strong programming skills in Rust, Go, and Python.
  • Understanding P2P network stacks, projects, and concepts like Libp2p, Bitswap, and DHTs.
  • Knowledge of P2P projects such as Bittorrent, IPFS, and others.
  • Experience with distributed databases, messaging systems, and caching technologies (e.g., Apache Kafka, MQTT, Cassandra).
Responsibilities
  • Design, implement, and maintain distributed systems that are scalable, reliable, and efficient.
  • Collaborate with product managers, software engineers, and data scientists to understand system requirements and deliver innovative solutions.
  • Optimize system performance, identify bottlenecks, and implement solutions to enhance system scalability and reliability.
  • Conduct performance testing and implement strategies to improve system performance.
  • Ensure high availability and fault tolerance of distributed systems.
  • Stay updated with the latest industry trends and technologies to continuously improve our systems and processes.
  • Mentor junior engineers and provide technical guidance to the team.

WebAI provides a Deep Learning Platform (DLP) that is modular and secure, aimed at researchers, developers, and enterprises wanting to implement advanced AI solutions. The platform allows users to collect, train, and deploy neural networks with minimal computational resources, making it ideal for environments with limited cloud connectivity. Unlike many competitors, WebAI focuses on low data requirements and high accuracy, ensuring that clients can operate efficiently without extensive resources. The platform features strong encryption for data security and supports seamless integration of new code. WebAI's goal is to make advanced AI technology accessible to a wider range of users, particularly in industries like healthcare, finance, and manufacturing that demand secure and accurate AI applications.

Company Stage

Series A

Total Funding

$74.9M

Headquarters

Grand Rapids, Michigan

Founded

2020

Growth & Insights
Headcount

6 month growth

35%

1 year growth

35%

2 year growth

35%
Simplify Jobs

Simplify's Take

What believers are saying

  • WebAI raised $60M in Series A, boosting its innovation and market reach.
  • Increased demand for edge AI solutions aligns with WebAI's platform capabilities.
  • Healthcare and finance sectors' reliance on AI presents growth opportunities for WebAI.

What critics are saying

  • Emerging AI startups may increase competition in edge computing solutions.
  • Rapid AI advancements could render WebAI's platform features obsolete if not updated.
  • Economic downturns may reduce enterprise spending on AI tools, affecting WebAI's revenue.

What makes WebAI unique

  • WebAI offers a modular Deep Learning Platform for secure, distributed AI deployment.
  • The platform functions efficiently with low computational resources, ideal for edge deployments.
  • WebAI provides state-of-the-art encryption and interoperability for seamless AI integration.

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