Logistics Research Team
Software Engineer on the Logistics Optimization team designing and implementing algorithms for clinician routing, scheduling, dispatch, simulations, and predictive models to optimize in-home healthcare delivery at national scale. Requires 2-3 years software engineering experience with optimization, forecasting or simulation systems, preferably in TypeScript/Python.
About the job
What will you do
- 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
What you have done
- 2-3 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
What gives you an edge
- 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
- You’re motivated by solving real problems that improve access to care
Our tech stack
- TypeScript / Node.js
- Python
- GraphQL
- AWS Amplify Stack (AppSync, DynamoDB, Lambda, CloudFormation)
- BigQuery, Elasticsearch / OpenSearch
- Looker, Kibana
- Forecasting, simulation, and optimization frameworks
- Custom route annealing and distributed scheduling models
What we offer
- Meaningful pre-IPO equity
- Competitive salary aligned with 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
- Free daily lunch in-office
- Annual learning stipend
Skills
TypeScript, Node.js, Python, GraphQL, AWS, DynamoDB, AWS Lambda, BigQuery, Elasticsearch, Optimization Algorithms, Simulation, Forecasting Models
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