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5 часов назад

Principal Software Engineer, Data (AI)

204 000 - 348 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Principal Software Engineer, Data (AI): Building and supporting the data systems underpinning the AI Science Factory with an accent on real-time ingestion, large-scale analytical storage, and workflow orchestration. Focus on designing high-performance APIs, scaling diverse data systems, and integrating data pipelines into scientific workflows.

Location: Cambridge, MA USA or San Francisco, CA USA

Salary: $204,000 - $348,000 USD

Company

hirify.global is building Scientific Superintelligence to autonomously execute the scientific method, accelerating discovery across medicine, materials, and energy.

What you will do

  • Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications.
  • Develop schemas and manage diverse data systems including SQL, NoSQL, and Vector databases for optimal scalability.
  • Diagnose and optimize system bottlenecks to ensure high availability and low-latency performance for large-scale workloads.
  • Leverage AWS services, Kubernetes, and modern DevOps practices to deploy production-grade systems.
  • Collaborate with ML researchers, engineers, and scientists to integrate data pipelines into scientific workflows.

Requirements

  • 8-15 years of engineering experience building and deploying large-scale production systems.
  • Strong expertise in scalable backend system design.
  • Full Stack experience with React, TypeScript, Python, and FastAPI.
  • Proficiency with ORMs (SQLAlchemy, SQLModel, Django) and orchestration tools (Airflow, Prefect, Temporal, or Dagster).
  • Familiarity with data science and ML libraries such as pandas, numpy, scipy, jax, or pytorch.
  • Proven track record of working cross-functionally with scientists and product teams.

Nice to have

  • Hands-on experience with AWS, Kubernetes, Terraform, CloudFormation, and GitHub Actions.
  • Domain background in laboratory software or analytics for life sciences or material sciences.
  • Experience with laboratory devices, robotics, or hardware.

Culture & Benefits

  • Competitive base compensation with bonus potential.
  • Generous early-stage equity.
  • Comprehensive U.S. and International benefits.
  • Fast-paced startup environment focused on solving challenges of historic importance.

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