Senior Software Engineer (Operations Research)

TL;DR

Senior Software Engineer (Operations Research): Developing orchestration algorithms for instrument scheduling and robot routing with an accent on reliability, performance, and scalability of backend systems. Focus on building data pipelines, designing robust APIs, and optimizing database architecture to translate AI-driven plans into efficient robotic movements.

Location: Cambridge, MA, USA

Salary: $180,000 - $256,000 USD

Company

hirify.global is building Scientific Superintelligence to automate the scientific method across medicine, materials, and energy.

What you will do

• Develop (Fleet) orchestrators, Schedulers, and Manufacturing Execution Systems (MES).
• Design and build high-performance APIs and backend services for AI-driven applications.
• Architect and scale diverse data systems including SQL, NoSQL, and Vector DBs.
• Optimize system bottlenecks to ensure high availability and low-latency performance.
• Deploy production-grade systems on AWS using Kubernetes and modern DevOps practices.
• Collaborate with robotics scientists and ML teams to integrate orchestration into scientific workflows.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5–10 years of experience building and deploying large-scale backend or data systems in production.
• Proficiency in distributed software and data systems such as Postgres, Flyte, Temporal, NATS/MQTT, and FastAPI.
• Experience using AI coding assistants to drive productivity is required.
• Proven ability to work cross-functionally with scientists, data engineers, and product teams.
• Must be based in or able to work from Cambridge, MA, USA.

Nice to have

• Experience with operations research solvers like OR-Tools, HiGHS, or Gurobi.
• Experience developing scheduling software or manufacturing execution systems.
• Knowledge of AWS, Kubernetes, Terraform, and GitHub Actions.
• Familiarity with Python for science libraries including pandas, polars, numpy, scipy, and pytorch.
• Domain background in laboratory software or analytics for life or material sciences.

Culture & Benefits

• Competitive base compensation with bonus potential.
• Generous early-stage equity.
• Comprehensive U.S. and International benefits.
• Fast-paced startup environment driven by values of truth, trust, curiosity, grit, and velocity.