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Sprinter Health leverages last mile delivery technology and AI to close healthcare accessibility gaps across the US.
The Role
As a Senior Software Engineer, you'll optimize clinician routing, scheduling, and dispatch systems while building simulations and predictive models within a distributed environment.
Summary Generated by Built In
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.
Top Skills
Aws Amplify
BigQuery
Elasticsearch
GraphQL
JavaScript
Opensearch
Python
Typescript
What the Team is Saying
Josh
Software Engineer, Growth
Dara
Staff Data Engineer
Wes
Senior Software Engineer
Sharmane
Manager, Clinical Recruitment
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The Company
What We Do
At Sprinter Health, we're focused on dramatically expanding access to healthcare by reimagining the patient experience—delivered at home and powered by technology for scale. We’re a boots-on-the-ground clinician network for the tele-health age, bringing routine blood draws, labs, and vitals checks into people's busy lives. We have completed over 140,000 appointments in 2025 across the US!
Why Work With Us
Sprinter Health is reinventing access to care, founded by the co-founder of Oculus in 2020. With tech, AI, and an incredible clinical team, we bring preventive care into patients’ homes—reaching the vulnerable communities the healthcare system often misses. Join us in a supportive, flexible, family-friendly culture.
Gallery
Sprinter Health Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
3 days a week
