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Logistics Optimization - Senior Software Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Sprinter Health
Full Time position
Listed on 2026-01-01
Job specializations:
  • Software Development
    Software Engineer
Job Description & How to Apply Below
Logistics Optimization - Senior Software Engineer

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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 $125 M to date from investors like a16z, General Catalyst, GV, and Accel and enjoy multi‑year runway.

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 product ionize 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 / Type Script (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

• Type Script / Node.js

• Python

• GraphQL

• AWS Amplify Stack (App Sync, Dynamo

DB, Lambda, Cloud Formation)

• Big Query, Elasticsearch / Open Search

• 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…
Position Requirements
10+ Years work experience
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