Senior Software Engineer (Logistics Research Team)

• 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

• 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

• 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

Benefits

• Free lunch everyday and fully-stocked microkitchens and coffee/tea bar

• Team offsites, game hours, tech talks, and design sprints

• Health insurance benefits (PPO / HMO / HSA, 100% of family premiums paid)

• Dental / vision / wellness benefits

• 401k matching

• Unlimited PTO

• Flexible work-from-home policy for work/life balance (4 days in-office, accommodation for occasional WFH days)

• Relocation assistance

• Generous parental leave (4 months for the birthing parent, 3 months for a partner, 100% paid)- Collaborated cross-functionally with product, ops, or data science teams to drive measurable impact

• Experience designing or implementing optimization, forecasting, or simulation systems

• Proficiency in JavaScript / TypeScript (preferred) and/or Python

• 5+ years of software engineering experience with strong backend or full-stack fundamentals

• Background in operations research, applied math, or quantitative modeling

• Shipped production systems that balance technical complexity and real-world constraints

• Background in logistics, scheduling, or large-scale routing systems

• Experience with global optimization techniques or Monte Carlo simulations

• Prior work in healthcare or other operationally complex, data-heavy environments

• You’re motivated by solving real problems that improve access to care

• Experience in 0→1 environments or scaling early-stage technical systems- We aim to complete the process within 2–3 weeks. It typically includes:

• Recruiter Screen (30 minutes)

• Hiring Manager Conversation (30 minutes)

• Technical Assessment — algorithms, systems design, or applied problem solving (45 minutes)

• Onsite Interview (3 hours) - Systems Design (optimization / logistics-focused) + Behavioral Interview + Lunch with the team

• References