Company Description:
FluidAI Medical is specialized in the development and deployment of data-driven surgical solutions, with an initial focus on general and gastrointestinal surgery. Our technologies integrate medical devices, software, and artificial intelligence into platforms that address real clinical and operational challenges across the continuum of surgical care.
We combine continuous physiological monitoring from our proprietary sensors with comprehensive electronic health record data, creating Intelligent systems that enable earlier identification of clinical deterioration and complications. Beyond patient monitoring, our platform extends to patient education and engagement tools, as well as automated documentation and coding modules - supporting care teams and driving operational efficiency.
Our teams brings together expertise across clinical practice, research, engineering, data science, manufacturing, and commercialization. We build solutions designed for real-world Impact, supported by full in-house capabilities, a strong intellectual property portfolio, and partnerships with leading institutions around the world.
Why Join FluidAI Medical?
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Mission to save lives and improve patient care with technology that’s already deployed on patients in real-world settings.
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We are a team of passionate builders and boundary-breakers that are on a singular mission to disrupt how patient care is done. We aim to succeed and perform together - as a team and as individuals.
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Gain exposure across the entire technical stack, from novel sensing technologies and proprietary hardware to mobile/web software and ML (Machine Learning) algorithms.
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Personal career-focused development and training with access to workshops, coursework, and experienced mentors/consultants.
Job Summary:
You'll sit on the R&D team and act as the engineering investigator on non-conformance (NCR) investigations; the cases where something on the production line doesn't behave as designed. The work is detective work: pulling production data, talking to technicians, running bench experiments, and tracing failures back to their root cause in the design, the process, or the materials. From there, you'll work with R&D, manufacturing, and QA to propose fixes that stick.
This is an engineering role with a quality-systems backdrop. You'll learn how a real ISO 13485 medical-device QMS operates from the inside and your day-to-day will be investigation, data analysis, and design thinking.
Job Responsibilities:
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Support NCR investigations end-to-end: scope the issue, design the investigation, run the analysis, document the conclusion.
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Apply structured root cause analysis (5-Whys, fishbone, fault tree, FMEA) to medical device failures.
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Pull and analyze production and test data to identify failure patterns and process drift.
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Design and run bench experiments to reproduce or rule out suspected failure modes.
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Propose design and process improvements; partner with R&D and manufacturing to scope and validate them.
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Support the development of production-line tests that catch issues before they ship.
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Document investigations to a standard that holds up under audit.
Qualifications:
These are some of the skills we are looking for in an ideal candidate. If you check some but not all of these boxes, please apply anyway!
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Working towards a technical degree in engineering (mechatronics, biomed, etc.) or similar fields.
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Sharp attention to detail and an instinct for when something looks "off".
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Comfort with root cause analysis methods, or a clear interest in learning them rigorously.
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Strong technical writing: your investigation reports will be read by engineers, regulators, and auditors.
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Comfortable with at least one scripting language (e.g. Python) for data analysis work.
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Solid grounding in descriptive statistics and basic experimental design.
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Comfortable using AI tools (Claude, etc.) to accelerate engineering work with judgment about when not to.
Bonus Qualifications:
- Prior experience with ISO 13485:2016.
- Prior experience in the medical device (or similarly regulated) field.
Transparency & Hiring Practices:
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Compensation: The pay for this position will be based on average co-op wages as outlined by your academic institution’s co-op program or similar institutions if specific data is unavailable, ensuring fair and competitive compensation aligned with industry and academic standards. The typical range for this role is $22 - $25 per hour for work terms 2-4.
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Grant Eligibility: This position is made possible through wage subsidy grants such as BioTalent SWPP. As such, participants must be a current full-time student registered in a Canadian Post-secondary program. International students are not eligible. Eligible participants must be a Canadian citizen, permanent resident or person who has been granted refugee status in Canada and be legally entitled to work.
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Application Screening: All applications are screened manually. We do not use AI or AI-Augmented Applicant Tracking Systems (ATS) to screen, assess, reject, or select candidates.
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Position Status: This fall term position will become available in September 2026.
