Logistics Research Team - Software Engineer (Senior)

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office, and for many the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last‑mile platforms, we deliver care where people are, especially those who need it most. We have supported more than 2 million patients across 22 states, completed 130,000+ in‑home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125 M to date from investors such as a16z, General Catalyst, GV, and Accel. 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. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work‑life balance and understand that there will be times where flexibility is needed. 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 productionise forecasting and optimisation 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 optimisation, forecasting, or simulation systems Background in operations research, applied math, or quantitative modelling 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 optimisation techniques or MonteCarlo 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 optimisation 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) Hiring Manager Conversation (30 minutes) Technical Assessment — algorithms, systems design, or applied problem solving (45 minutes) Onsite Interview (3 hours) – Systems Design (optimisation / logistics‑focused) + Behavioural Interview + Lunch with the team References Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected classes. #J-18808-Ljbffr Sprinter Health