Logistics Optimization - Senior Software Engineer

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. 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. So far, we’ve 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 $125M to date from investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway.

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 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)

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

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.

Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false offers. All legitimate job postings appear on our official Sprinter Health Careers website, and communication will only come from emails ending in @sprinterhealth.com.

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