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 130000+ 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.

If you are applying for a job you can confirm the legitimacy of a job posting by viewing current open roles here. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.

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 140000 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