Hardware Verification Engineer - Charging Solutions (m/f/d)
Sonova is hiring a Hardware Verification Engineer - Charging Solutions (m/f/d). Level rates it ; you can apply on Sonova.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classifies it as a mid-level role.
- Level lists 397 other open roles at Sonova.
AI in this role
As a Hardware Verification Engineer - Charging Systems (m/f/d), you will play a key role in ensuring the performance, safety and reliability of our charging solutions for hearing devices.
You will combine hands-on electronics testing with Python-based test automation, developing test setups and verification methods that bring our products through development and towards market readiness. Working at the intersection of hardware, embedded software and system verification, you will collaborate with multidisciplinary teams to turn complex technical requirements into robust, measurable and reliable solutions.
This is an opportunity to take ownership of verification activities throughout the product lifecycle while contributing directly to products that make a meaningful difference in people’s lives.
More about the role
- Design, build, calibrate and continuously improve test setups and measurement benches for the verification of charging solutions
- Develop and maintain automated verification frameworks and test scripts, with a strong focus on Python
- Plan and execute experiments to assess charging behavior, power management, performance and safety mechanisms under realistic usage conditions
- Translate system requirements, design specifications and risk analyses into effective test conditions, test cases and test procedures
- Investigate test failures, analyze measurement data, identify root causes and collaborate with development teams to drive corrective actions
- Process, visualize and document test and measurement data to provide clear evidence of product performance and verification results
- Collaborate closely with hardware, embedded software and system engineers as well as Test Managers, external partners and colleagues across different sites
More about you
- BSc or MSc degree in Electrical Engineering or a related technical field
- Around 3–6 years of experience in verification and testing of electronic systems, ideally combining hardware and embedded firmware
- Strong Python skills for test automation, data processing and analysis
- Hands-on experience developing custom test setups using Raspberry Pi, Arduino or similar MCU-based platforms, combined with solid electronics and measurement know-how
- Practical experience troubleshooting electronic devices and a structured approach to root-cause analysis and problem solving
- A proactive, quality-focused and collaborative mindset with the ability to work independently in an international, cross-functional environment
- Excellent English communication skills; German skills are an advantage
Experience with medical device development, C#, MATLAB, test management or relevant safety and regulatory standards is considered an advantage.
More about what we offer
As one of the world’s leading hearing care providers headquartered in Switzerland, we’re committed to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model. We offer a wide range of training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.
How we rate this
Hardware Verification Engineer - Charging Solutions (m/f/d) at Sonova rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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