Logistics Research Team - Software Engineer (Mid-Level)

Alt; San Francisco (CA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Pre-IPO equity

Competitive salary

Medical, dental, and vision coverage

Flexible PTO + 10 paid holidays

401(k) with company match

Free daily lunch

Job summary

Sprinter Health, Inc. in San Francisco is looking for a Senior Software Engineer to join the Logistics Optimization team. This role focuses on designing systems that balance clinician supply and patient demand within a hybrid work schedule, allowing for flexibility and collaboration.

The ideal candidate will have strong experience in software engineering, particularly in optimization and simulation systems, and will work on high-impact technical projects that improve access to healthcare.

Qualifications

• 5+ years of software engineering experience.
• Proficiency in JavaScript / TypeScript (preferred) and/or Python.
• Experience with optimization, forecasting, or simulation systems.

Responsibilities

• Design and implement algorithms for clinician routing.
• Build simulations modeling demand and patient behavior.
• Develop predictive models for cancellations and overbooking.

Skills

Backend or full-stack fundamentals

JavaScript / TypeScript

Python

Operations research

Quantitative modeling

Optimization systems

Tools

Node.js

GraphQL

AWS Amplify

BigQuery

Elasticsearch

Job description

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 with investors like a16z, General Catalyst, GV, and Accel and enjoy a 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.

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

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.