Internship - Wearable Software Engineering (m/f/d)
About this opportunity
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
Start date: As soon as possible
Duration: 3-6 months
Location: Eysins, Switzerland
Role Level: Internship
Your role:
The Connected Device Department is seeking an engineering student to help us evaluate the feasibility of running AI models on smartwatches (Wear OS and watchOS). You’ll port existing server-side models to edge devices, design and run experiments to measure prediction performance and battery impact under different usage patterns and deliver practical guidelines to correctly port the model into an edge device. You won’t build new models; our team will provide candidate models and parameters to vary. The main focus is software porting, rigorous measurement, and clear recommendations.
Your Profile:
Must-Haves
You are currently studying Software Engineering, Computer Science, Electrical/Computer Engineering, or a related field.
Basic familiarity with mobile development (Android/Wear OS or iOS/watchOS).
Comfortable writing clean, testable code and documenting findings clearly.
Strong analytical mindset and attention to detail; able to compare configurations and interpret trade-offs.
Interest in edge AI and on-device inference.
Nice-to-haves
Experience with on-device inference frameworks or model conversion (e.g., TensorFlow Lite, Core ML, ONNX).
Understanding of optimization techniques (e.g., quantization,).
Exposure to sensor data pipelines or streaming workloads on mobile/wearables.
Prior projects that involve benchmarking, parameter sweeps, or porting models to constrained devices.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 1211 comparable Information Technology roles across 60 biopharma companies.
Salary context
152 of 1211 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 1211 comparable roles
+ 26 more countries
Seniority mix
665 of 1211 peers have a known seniority level
Therapeutic area mix
2 of 1211 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
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How we calculate "similar"
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Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.