Operations Research Scientist I/II (Robotics)

TL;DR

Operations Research Scientist I/II (Robotics): Developing algorithms to orchestrate autonomous laboratories for a scientific superintelligence platform with an accent on translating scientific priorities into schedulable plans and adapting to real-time execution constraints. Focus on formulating and solving large-scale optimization problems for task allocation, scheduling, and dynamic routing under uncertainty, and deploying solutions collaboratively with robotics and software teams.

Location: Onsite in Cambridge, MA, USA

Salary: $176,000–$304,000 USD per year

Company

hirify.global is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science, pioneering boundless discovery through AI.

What you will do

• Develop algorithms to orchestrate autonomous laboratories for a scientific superintelligence platform.
• Design logic to translate scientific priorities into schedulable, dispatchable plans for autonomous systems.
• Formulate and solve large-scale, inter-connected optimization problems for task allocation, scheduling, and dynamic routing under uncertainty.
• Build and use simulations to model diverse lab scenarios, benchmark approaches, and identify bottlenecks.
• Collaborate with the robotics and software teams to implement optimization models into production.

Requirements

• Ph.D. or M.S. in Operations Research, Computer Science, Applied Mathematics, Industrial Engineering, or equivalent experience.
• Deep expertise in discrete optimization, such as mixed-integer programming (MIP), constraint programming (CP), or network flow.
• Ability to model complex temporal constraints and dependencies in dynamic environments.
• Ability to work and communicate cross-functionally on projects with evolving scope.
• Strong software development skills, with experience deploying optimization logic into production environments.
• Familiarity using a variety of commercial or open-source MILP/CP/heuristic solvers (e.g., Gurobi, CPLEX, Google OR-Tools).

Nice to have

• Background in stochastic optimization or decision-making under uncertainty.
• Experience integrating optimization logic into robot control stacks or automated laboratories.
• Familiarity with temporal constraint networks.
• Experience developing solvers or benchmarking algorithms.
• Strong publication record in optimization algorithms.

Culture & Benefits

• Committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
• Generous early equity along with bonus potential.
• Accelerate the mission by enabling fully autonomous workflows for scientific discovery.