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Imperative Care

Campbell / Global

Staff Software Engineer

Job Description

Staff Software Engineer, Robotic Test AutomationThis position is based in our Campbell, California offices. This position is on-site & full-timeWhy Imperative Care? At Imperative Care, we are developing novel robotic-assisted technologies and interventional capabilities that will forever change the disparate outcomes of ischemic stroke – a disease that impacts close to a million people a year in the U.S., and 10 million worldwide. Not only is Imperative Care changing the way stroke is treated, but also bringing this treatment to the greater population who is currently without. We are actively building a team who is focused on developing novel solutions for this complex disease – a disease in which one in four adults will face in their lifetime.What You'll Do The Staff Software Engineer uses advanced expertise to lead test automation architecture and strategy on a complex medical robotic platform. This role focuses on software design, automated frameworks, test infrastructure, and scalable verification approaches rather than primarily manual test execution. The initial focus will be automated testing for individual software units and applications. Over time, this role will expand automation into multi-application integration testing, hardware-in-the-loop testing, and broader system-level verification.Define and lead the software test automation strategy across application, integration, and system-level testing.Design, implement, and maintain Python-based test automation frameworks, reusable test libraries, test harnesses, simulators, mocks, stubs, and related tooling.Build reliable automation for testing software applications in isolation, with deterministic setup, clear pass/fail criteria, and useful diagnostics.Create the roadmap for automated integration and system-level testing, including multi-application execution, inter-process communication, simulation-based testing, hardware-in-the-loop testing, robotic platform testing, and end-to-end scenarios where appropriateDevelop risk-based test strategies and verification coverage that connect requirements, architecture, software hazards, defect history, and system behavior.Mentor engineers in automation design, test strategy, testable software design, and effective verification practices.What You'll Bring:Bachelor's degree in computer science, biomedical engineering or related field and minimum 8 years of related experience; or equivalent combination of education and work experienceExperience as a software engineer, test automation architect, or similar roleStrong Python programming experience; Python is the primary language for this roleProven ability to design automated test frameworks, test harnesses, simulation layers, mocks, service substitutes, and reusable test infrastructureExperience with test automation frameworks and tools such as pytest, GoogleTest, CTest, Robot Framework, Playwright, or similar technologies (preferred).Experience with hardware-in-the-loop, software-in-the-loop, simulation-based testing, digital twins, or automated test fixtures (preferred)Employee Benefits include a stake in our collective success with stock options, bonus, competitive salaries, a 401k plan, health benefits, generous PTO, and a parental leave program. Join Us! Apply today. Salary Range: $207,000 – 230,000 annuallyPlease note that the salary information is a general guideline only. Imperative Care considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer. As part of our total rewards package, Imperative Care offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources. The posted salary range reflects compensation for employees based in the local Bay Area market. For candidates hired outside of this geographic area, compensation may vary and be adjusted based on location, local market conditions, and other factors

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