The role also involves supporting applications related to location technologies, asset tracking solutions, wireless sensing, and edge intelligence. You will collaborate with customers and internal teams to help optimize wireless performance, analyze signals, and support the development of intelligent connected systems.
Here is what your daily role will look like
Actively help customers with their design and development activities
Create code examples, application notes, and quick start guides for wireless applications
Support customers working on location technologies, asset tracking, and wireless sensing applications
Assist with signal analysis, wireless performance optimization, and troubleshooting
Collaborate with IC design, software engineering, and marketing teams on product evaluations and new product definitions
Contribute to solutions involving embedded intelligence and machine learning fundamentals at the edge
Mastery needed for success in this role
Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering and 6+ years of work experience in an applicable industry
Strong Python programming skills
Understanding of DevOps fundamentals
Strong C programming skills on embedded systems
Experience with embedded or real-time operating systems
Understanding of signal processing fundamentals
Basic understanding of machine learning fundamentals and edge AI concepts
Familiarity with wireless location technologies, asset tracking systems, or positioning solutions
Experience with artificial intelligence (AI) powered tools and technologies used to enhance productivity, analysis, and decision-making
Excellent written and verbal communication skills in English
We consider the following experience as a plus
Experience with wireless communication protocols (Bluetooth LE and Wi-Fi)
Experience with Bluetooth direction finding, ranging, or positioning technologies
Experience with FreeRTOS and Zephyr
Familiarity with wireless signal analysis and debugging tools
Exposure to AI/ML frameworks or embedded machine learning applications
Benefits & Perks
Modern office space in a central location in the immediate vicinity of the Leppävaara railway station, Sello shopping centre and other Leppävaara services
Free covered parking
Free snacks and beverages
Extensive occupational health care and supplementary medical expense coverage for treatments performed by specialist physicians
Flexible working hours
Mobile phone
Lunch benefit
Smartum Exercise & Culture benefit
Quarterly celebrations / holiday parties
3 paid volunteer days per year
Paid parental leave (maternity 3 months, paternity 2 weeks), additional parental leaves will be in accordance with legislation
Other Workplace Activities
Innovation Events – Free Your Gecko
Monthly “Lunch & Learn” opportunities
The annualized base pay range for this role is expected to be between €55,650 - €103,350 EUR. Actual base pay could vary based on factors including but not limited to experience, geographic location where work will be performed and applicant’s skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus, equity package and a comprehensive benefits package.
Silicon Labs is an equal opportunity employer and values the diversity of our employees. Employment decisions are made on the basis of qualifications and job-related criteria without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, or any other characteristic protected by applicable law.
