Software QA Engineer
Bevi
| Company | Bevi |
| Category | Engineering |
| Location | Boston |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 23 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Bevi is on a mission to transform how beverages are delivered and consumed. Our connected beverage platform eliminates the need for single-use bottles and cans, making it easy, fun, and sustainable to stay hydrated. As the category leader in IoT-enabled beverage technology, we're building a future where Bevi machines are everywhere people live, work, and connect. We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year, saving over 1 billion bottles from waste. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development. Bevi is looking for a Software QA Engineer to join our growing engineering team. In this role, you'll own quality across our full stack,validating embedded firmware on physical machines and hardening our firmware release process. You'll work closely with our Firmware and Software teams to build test strategies that catch issues before they reach a customer. This role requires working from our Boston office 3+ days per week, since much of the job involves hands-on testing with physical machines and lab hardware. We're looking for someone who is curious, collaborative, and comfortable moving between hardware labs and cloud infrastructure.
Your Day to Day
Monitor and test firmware and low-level software development throughout the entire software development life cycle (SDLC), verifying that releases meet defined quality standards and customer agreements — influencing not just how it is tested, but how it's developed.
Design, implement, and maintain test strategies for embedded systems and connected-device workflows to assess release-readiness.
Validate firmware behavior on physical machines and test hardware, including sensors, dispensing mechanisms, and connectivity modules.
Test over-the-air (OTA) firmware update flows for reliability, rollback safety, and fleet-wide rollout.
Characterize firmware behavior under soak and stress testing to catch memory leaks, timing issues, and intermittent failures.
Work to prevent bugs from occurring during development, improving the overall development process rather than just catching issues after the fact.
Collaborate with firmware, software, and hardware engineers to identify and resolve identified defects.
Track and document test procedures and findings in a bug tracking system, and participate in design review meetings to report on results.
Contribute to release sign-off and help define quality gates for new machine, firmware, and software releases.
Explore and adopt AI-powered testing tools such as AI-assisted test generation, self-healing automation scripts, and anomaly detection to improve test coverage and efficiency.
Debug firmware issues at the source using debuggers, serial consoles, and logic analyzers to isolate whether failures originate in firmware, hardware, or integration layers.
Develop tests that exercise firmware over its communication interfaces (UART, I2C, USB, Wi-Fi), including fault injection and boundary conditions like power loss, sensor failure, and degraded connectivity.
Requirements
Bachelor's degree (or international equivalent) and 2+ years of relevant experience in QA or test engineering, ideally spanning both embedded/firmware and software systems.
This is a career-development role within the QA discipline: you'll take on assignments of increasing complexity under moderate supervision, with some latitude for independent judgment.
Hands-on experience testing embedded systems (C/C++, RTOS environments, serial or wireless communication protocols).
Understanding of IoT or connected-device architectures, including cloud-to-device communication.
Experience with bug tracking and test management tools (ex, Jira).
Comfort working directly with physical hardware and lab equipment, not just simulators.
Understanding embedded C/C++ to r
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