Software Engineer, Developer Infrastructure

Build the Verification Machine (50%)

You'll own the infrastructure that gives our team fast, reliable signals on whether their code works.

Design and extend device simulators and mocks that reduce our dependency on physical hardware for testing

Build and maintain CI/CD pipelines across embedded, cloud, and mobile (GitHub Actions, Bazel)

Extend our hardware-in-the-loop (HIL) test infrastructure for device commissioning, OTA updates, and telemetry validation

Automate the manual test scenarios that currently block releases (pairing flows, firmware upgrades, cloud integration)

Debug and eliminate flaky tests, CI must be a source of truth, not noise

Make Testing Easy (35%)

The best test infrastructure is one that every engineer actually uses. You'll make it effortless to write and run tests.

Build reusable test fixtures, libraries, and templates that lower the barrier for engineers to write unit and integration tests

Design testable interfaces and mock layers for embedded device features

Collaborate on architecture decisions to ensure new code is testable by default

Provide patterns and examples (pytest, gtest) that engineers and agents can copy and adapt

Improve the local development and CI experience so tests are fast and reliable

Document testing patterns and best practices, especially for embedded systems

Strengthen Release Confidence (15%)

Validate critical release paths with automated and exploratory testing (device pairing, OTA, mobile app integration)

Support mobile app testing (iOS/Android) for key user flows

Turn customer-reported issues into new automated test cases, closing gaps in the verification machine so the same bug never ships twice

We’d love to speak with you if:

You have 4–7 years of software engineering experience, with significant time spent on test infrastructure, developer tooling, CI/CD systems, or platform/infrastructure engineering

You're a strong Python developer (pytest preferred) and comfortable reading/modifying C++ test code (gtest)

You've owned CI/CD pipelines end to end; not just maintained them, but designed them to be fast, reliable, and trusted

You think about testability as an architecture problem, not just a coverage metric. You've influenced engineers to refactor code so it can be tested

You're comfortable in Linux/Unix environments and can debug complex issues across hardware and software boundaries

You care about developer experience: you notice when something is painful and you build the tool to fix it

You can work independently, identify the highest-leverage infrastructure gaps, and make the case for fixing them

You have experience with or interest in how AI agents can be integrated into testing and verification workflows

Bonus points for:

Experience building or maintaining hardware-in-the-loop test systems, device simulators, or integration test environments for IoT or embedded products

Experience with device communication protocols (Modbus, serial, gRPC)

Experience testing firmware OTA updates or device provisioning flows

Bazel build system experience

Docker and containerization for test environments

Mobile test automation (Appium for iOS/Android)

Web E2E automation (Cypress/Playwright)

HVAC, home automation, or similar IoT domain experience

Embedded Linux or Raspberry Pi development

In 3 months:

You've automated the top 10 manual test scenarios that were blocking releases, enabling the team to ship more features with higher confidence

CI pipeline improvements have cut test cycle time by 30%

You've mapped the biggest testability gaps in the embedded codebase and have a plan to address them

In 6 months:

Engineers are writing significantly more tests because you made it easy — new fixtures, better patterns, faster feedback

Device simulator coverage has expanded to cover new product variants

Regression suites are catching bugs before they reach manual QA

In 12 months:

Engineers trust CI results over manual validation for the majority of changes

You've led a major refactor to make a previously untestable subsystem fully testable

You've been hard at work on building infrastructure that lets AI agents verify their own code changes, closing the loop between generation and verification

The team is shipping faster and with higher confidence because of the systems you've built

At Quilt, we support live products with real customers depending on us, we have the technical complexity of an established company with the resources of a startup, and AI is making code generation nearly free while verification remains expensive. The engineer in this role will be the single biggest lever for getting us out of that middle. You're not writing features; you're building the foundation that lets every feature ship.

If you've read about "harness engineering" or the idea that engineering leadership is shifting from writing code to building the systems that enable code to be written, tested, and shipped with confidence — that's this job. You can find more information about how we’re thinking about this matter here .

We are a growing team of ambitious people who truly care about the impact of their work. We are on a mission to accelerate a species-level human transition. For over a million years, we've been burning things to stay warm. It's time to move to a better way of living.

At Quilt, we're on a mission to make clean, efficient heating and cooling accessible to everyone — and we know that heat pumps can play a big role in creating healthier, more climate-resilient homes. But the reality is, climate change and outdated energy systems don't impact everyone equally. That's why we're building a diverse, inclusive team — because we believe the best solutions come from people with different lived experiences and perspectives. We welcome teammates of all races, ethnicities, genders, identities, abilities, and backgrounds, and we're committed to creating a workplace where everyone feels empowered to shape the future of climate tech.

Need accommodations during the hiring process? No problem — just let us know. We're here to support you. (accessibility@quilt.com)

Compensation

This is a full-time, hybrid position working out of our Redwood City office. Candidates must be able to commute to the office at least 3 days a week.

We are not able to offer relocation assistance for this role.

The expected base annual salary range for this role is $150,000–$200,000, depending on experience. In addition to base salary, Quilt also offers meaningful equity and top-tier health benefits.

Don't meet 100% of the requirements? That's okay, apply anyway! If you're excited about this role and think you could bring something unique to the team, we encourage you to apply, even if your experience doesn't match perfectly. We'd love to hear from you.