Logistics Research Team - Software Engineer (Senior)

About the Role

We’re hiring a Senior Software Engineer to join our Logistics Optimization team, where we tackle some of the hardest algorithmic and operational problems in healthcare. You’ll design systems that balance clinician supply, patient demand, and routing efficiency-essentially the logistics backbone of Sprinter’s in-home care delivery model. This is a deeply technical, high-impact role where you’ll work on problems at the intersection of operations research, simulation, and scalable distributed systems.

Hybrid & Office Experience

We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days.

We care deeply about work-life balance and are happy to provide flexibility when life happens. We ask that employees be in the office Monday through Thursday to collaborate with their teams while maintaining flexibility where it matters most.

Lunch is provided every day, and the entire team takes an hour to eat together. It's one of the ways we stay connected outside of meetings. You'll usually find us playing a board game before getting back to work.

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

• 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

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 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
• Free daily lunch in-office
• Annual learning stipend

The interview process

• We aim to complete the process within 2-3 weeks. It typically includes:
• Recruiter Screen (30 minutes)
• Technical Assessment (45-Minutes)
• Hiring Manager Conversation (30 minutes)
• Onsite Interview (3 hours) - Systems Design (optimization / logistics-focused) + Behavioral Interview + Lunch with the team
• References

Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.