Logistics Research Team - Software Engineer (Senior)

About the role

We're looking for a Senior Software Engineer to join our Logistics Optimization team. Your responsibilities will include:

• Design and implement algorithms that optimize clinician routing, scheduling, and dispatch at national scale
• Build simulations that model demand, capacity, and patient behavior under real-world constraints
• Develop predictive models for cancellations, no-shows, and overbooking optimization
• Collaborate with product and ops teams to translate complex logistics challenges into scalable software systems
• Prototype and productionize forecasting and optimization models in a distributed environment
• Own projects end-to-end—from design to implementation and iteration

Responsibilities

• Design and implement algorithms that optimize clinician routing, scheduling, and dispatch at national scale
• Build simulations that model demand, capacity, and patient behavior under real-world constraints
• Develop predictive models for cancellations, no-shows, and overbooking optimization
• Collaborate with product and ops teams to translate complex logistics challenges into scalable software systems
• Prototype and productionize forecasting and optimization models in a distributed environment
• Own projects end-to-end—from design to implementation and iteration

Requirements

• 5+ years of software engineering experience with strong backend or full-stack fundamentals
• Proficiency in JavaScript / TypeScript (preferred) and/or Python
• Experience designing or implementing optimization, forecasting, or simulation systems
• Background in operations research, applied math, or quantitative modeling
• Shipped production systems that balance technical complexity and real-world constraints
• Collaborated cross-functionally with product, ops, or data science teams to drive measurable impact

Qualifications

• Experience with global optimization techniques or Monte Carlo simulations
• Background in logistics, scheduling, or large-scale routing systems
• Prior work in healthcare or other operationally complex, data-heavy environments
• Experience in 0→1 environments or scaling early-stage technical systems

Skills

• Experience with TypeScript / Node.js
• Experience with Python
• Experience with GraphQL
• Experience with AWS services (AppSync, DynamoDB, Lambda, CloudFormation)
• Experience with BigQuery, Elasticsearch / OpenSearch
• Experience with Looker, Kibana
• Experience with forecasting, simulation, and optimization frameworks
• Experience with custom route annealing and distributed scheduling models

Benefits

• Meaningful pre-IPO equity
• Competitive salary aligned with senior engineering levels
• Medical, dental, and vision fully covered for you and your dependents
• Flexible PTO + 10 paid holidays
• 401(k) with company match
• 16-week parental leave (8 weeks for partners)
• HSA / FSA contributions
• Life, short-term, and long-term disability coverage
• Annual learning stipend

Pay

Salary is competitive and aligned with senior engineering levels.

Schedule

We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days. Lunch is provided every day, and the entire team takes an hour to eat together.