Junior Software Engineer - AI Infrastructure

1705545
  • $120,000 base per year
  • Chicago, Illinois, United States
  • Permanent
  • 100000


Are you looking for an exciting new opportunity? 

Join a fast-growing research and advisory firm delivering critical market insights and analysis across the technology sector. The organization provides strategic guidance to clients navigating complex and rapidly evolving industries, offering opportunities to work on high-impact research, collaborate with expert teams, and influence key business and technology decisions.

If you would like to learn more about this opportunity, feel free to reach out and apply today!


Responsibilities:

  • Design and scale a full-stack Next.js application used to track pull requests, CI health, and performance benchmarks for global AI accelerators.
  • Build and maintain robust data pipelines using the GitHub API and webhooks to provide real-time visibility into open-source ecosystem health.
  • Develop interactive data visualizations to communicate complex performance trends and hardware parity metrics to a technical audience.
  • Architect and optimize PostgreSQL schemas to handle deep-dive metrics for diverse hardware platforms, including NVIDIA, AMD, AWS, and Google.
  • Synthesize raw benchmark data and CI test results into technical reports and weekly digests regarding upstream contribution health.
  • Collaborate with a global team of analysts and engineers to align software tracking with emerging semiconductor innovations.


Skills/Must have:

  • Professional experience with React and Next.js, specifically utilizing App Router, Server Components, and Server Actions.
  • Proficiency in TypeScript and SQL, with specific experience in PostgreSQL (Neon preferred).
  • Strong understanding of GitHub API integrations and managing webhook-driven data pipelines.
  • Demonstrated ability to synthesize complex data from multiple hardware platforms (e.g., AMD ROCm, NVIDIA CUDA, AWS Trainium, or Google TPU).
  • Proactive, self-motivated mindset capable of working independently within a distributed, global team.
  • Interest in learning or existing knowledge of AI accelerator stacks, machine learning frameworks (PyTorch, JAX), and GPU infrastructure.


Benefits:

  • Comprehensive 100% company-paid healthcare including medical, dental, and vision coverage.
  • Generous Paid Time Off (PTO) policy to ensure a healthy work-life balance.
  • Remote-friendly workspace with provided office stipends for equipment and setup.
  • Support for continuous learning, including paid attendance at major industry conferences.
  • Paid coding challenges during the interview process to respect your time and expertise.


Salary:

  • $120,000 base per year
Ben Davies Director Global AI Infrastructure

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