Embedded Software Verification Engineer – Surgical Robotics (Cambridge, MA)

Philips•Cambridge, MA

23h•$114,000 - $182,000•Hybrid

About The Position

Verify real-time robotics control software running on Linux/RTOS-based compute platforms for a next-generation robotic surgery system. This is not a bare-metal firmware role or a junior test-execution role. We are looking for a hands-on verification engineer who can define how safety-critical robotic software should be verified, design meaningful tests from requirements, create protocols and evidence, and troubleshoot software behavior on real hardware.

Requirements

4+ years of experience in software verification, system verification, or integration testing for software-intensive products that interact with real hardware.
Experience defining verification plans, test protocols, test procedures, test cases, and objective pass/fail criteria, not only executing predefined tests.
Hands-on experience with real-time or timing-sensitive software running on Linux, RTOS, or Linux with real-time extensions, preferably above the bare-metal driver layer.
Strong practical skills in Python and C++ for test automation, debugging, data analysis, test tooling, and troubleshooting hardware/software integration issues.
Comfortable working in a regulated or safety-critical environment, interpreting requirements, creating traceable verification evidence, and collaborating across software, systems, controls, hardware, and quality teams.
Must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

Responsibilities

Own verification planning and test design for real-time robotics control software, including test plans, protocols, procedures, pass/fail criteria, requirements coverage, and traceable verification evidence.
Design, automate, and execute tests for software running on Linux/RTOS-based compute platforms that interact with motors, sensors, actuators, controllers, and other hardware through device interfaces and control applications.
Investigate and verify system behavior on real hardware, including timing performance, control-loop behavior, fault handling, watchdogs, safe-state transitions, startup/shutdown behavior, recovery paths, and defects across software, controls, hardware, and system integration boundaries.