Systems Engineer

Augment CodePalo Alto, CA
4h

About The Position

As a Systems Engineer at Augment Code, you'll play a crucial role in bridging the gap between complex AI research and real-world SAAS applications. You'll be tasked with designing, implementing, and maintaining our infrastructure, ensuring high availability and optimal performance for AI-driven services catered to a global user base.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is an advantage.
  • 5+ years of experience as a Systems Engineer, with exposure to AI-driven environments or SaaS platforms being a significant plus.
  • Expertise in software development in relevant languages (any of Python, Go, Rust, C++, etc)
  • Proven problem-solving skills, especially in troubleshooting complex issues in distributed systems.
  • Strong written and verbal communication abilities.

Nice To Haves

  • Proficiency in cloud computing platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with containerization technologies like Docker and orchestration platforms like Kubernetes.
  • Previous experience working with AI/ML, distributed systems, HPC, and systems/infrastructure is a plus.

Responsibilities

  • Product Development: Help design, develop, and maintain product features and services.
  • Infrastructure Development: Set up and maintain scalable and highly available systems that underpin our AI-driven SAAS platform.
  • Performance Optimization: Monitor the health and performance of systems. Ensure high availability and optimal performance of resources crucial to our AI services.
  • Security/Privacy Measures: Implement best practices to maintain the integrity, security, and privacy of our data and infrastructure.
  • Collaboration: Work hand-in-hand with our AI researchers to understand their needs and optimize systems to handle intensive AI computations and deployments.
  • Automation: Streamline operations by identifying processes ripe for automation and deploying suitable solutions.
  • Continuous Learning: Stay abreast with the evolving landscape of AI infrastructure needs and tools. Integrate best practices into our operations to enhance our services.

Benefits

  • Flexible work hours
  • Competitive salary & Equity
  • Tools Stipend
  • Health, Dental, Vision and Life Insurance
  • Short Term and Long Term Disability
  • Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair
  • Numerous company social events
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service