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Salary
$64k – $119k per year
Location
In office (Espoo)
Seniority
Senior · 6+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Silicon Labs is a fabless semiconductor company headquartered in Austin, Texas, that designs low-power wireless SoCs, modules and software for Bluetooth, Wi-Fi, Matter and other IoT protocols. Listed on Nasdaq as SLAB, it serves smart home, industrial IoT and smart city device makers, operates in more than 16 countries with sites including Boston, San Jose, Montreal and Hyderabad, and hosts the annual Works With developer conference. It hires analog, digital and physical design engineers, embedded and wireless stack software engineers, test and quality engineers, field applications engineers and product marketing managers.

Silicon Labs (NASDAQ: SLAB) is the leading innovator in low-power wireless connectivity, building embedded technology that connects devices and improves lives. Merging cutting-edge technology into the world’s most highly integrated SoCs, Silicon Labs provides device makers the solutions, support, and ecosystems needed to create advanced edge connectivity applications. Headquartered in Austin, Texas, Silicon Labs has operations in over 16 countries and is the trusted partner for innovative solutions in the smart home, industrial IoT, and smart cities markets. Learn more atwww.silabs.com.

Silicon Labs is looking for a Senior Application Engineer to join the Application Engineering team. The Senior Application Engineering team acts as the bridge between customers and the R&D organization, delivering user guides, peripheral and application example code, and actively supporting customers throughout their entire product development journey from planning and design to development and certification.

As our new Application Engineer, you get

  • A job in a dynamic and highly innovative technology company in a rapidly growing global market

  • The chance to join a group of highly professional and dedicated colleagues who share your passion

  • Exposure to a broad set of technologies, platforms, and tools

  • The satisfaction of seeing your work in action

What you will do:

In this role, you will primarily work with our cutting-edge wireless connectivity solutions, including Bluetooth Low Energy (BLE), Wi-Fi, and other wireless technologies, helping customers build next-generation connected devices. You will also gain experience with our 32-bit Wireless MCU platforms and embedded systems while supporting customers in the design and development of innovative connected solutions.

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.

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