Logistics Research Team - Software Engineer (Senior)

Sprinter Health; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Meaningful pre-IPO equity

Competitive salary

Medical, dental, and vision insurance

Flexible PTO

401(k) with company match

16-week parental leave

Life and disability coverage

Free daily lunch

Annual learning stipend

Job summary

A healthcare startup based in San Francisco seeks a Senior Software Engineer for its Logistics Optimization team. The successful candidate will design systems that balance clinician supply, patient demand, and optimize routing, contributing to in-home care delivery. Strong skills in JavaScript/TypeScript and Python are required, alongside experience in optimizing complex systems. The position offers a hybrid work environment and competitive benefits, fostering work-life balance.

Qualifications

• 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.

Responsibilities

• Design and implement algorithms that optimize clinician routing, scheduling, and dispatch.
• Build simulations that model demand, capacity, and patient behavior.
• Collaborate with product and ops teams on scalable software systems.

Skills

Software engineering experience

JavaScript / TypeScript

Python

Optimization systems

Collaboration with cross-functional teams

Tools

TypeScript

Node.js

AWS

BigQuery

GraphQL

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, 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 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 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.