Senior Embedded Wireless & Edge AI Applications Engineer

Silicon Labs GmbH; Espoo; Hybrid; EUR 56,000 - 103,000; Full time

Benefits offered by this job

Free parking

Healthy snacks

Flexible working hours

Lunch benefit

Volunteer days

Job summary

Silicon Labs in Espoo is seeking a Senior Application Engineer to join the Application Engineering team. You will bridge customers and R&D, delivering guides and code examples for wireless solutions, including BLE and Wi‑Fi, while supporting edge AI enabled devices.

You will work with the 32‑bit Wireless MCU platforms, collaborating across teams to optimize performance and enable innovative connected systems. Fluency in English required.

Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering or Computer Engineering.
• 6+ years of relevant industry experience.
• Strong Python programming skills and C for embedded systems.
• Good understanding of RTOS, signal processing, and edge AI concepts.
• Experience with wireless location technologies or positioning solutions.
• Excellent written and verbal English communication.

Responsibilities

• Create code examples, application notes, and quick start guides for wireless applications.
• Support location technologies, asset tracking, and wireless sensing projects.
• Analyze signals and optimize wireless performance for customer designs.
• Collaborate with IC design, software, and marketing teams on evaluations.
• Contribute to embedded intelligence and edge AI solutions.

Skills

Python

C programming

Embedded systems

RTOS

Signal processing

Machine learning basics

English proficiency

Wireless location technologies

DevOps fundamentals

Communication skills

Education

Bachelor’s or Master’s in Electrical or Computer Engineering

Tools

FreeRTOS

Zephyr

Embedded debugging tools

Job description

Silicon Labs in Espoo is seeking a Senior Application Engineer to join the Application Engineering team. You will bridge customers and R&D, delivering guides and code examples for wireless solutions, including BLE and Wi‑Fi, while supporting edge AI enabled devices.

You will work with the 32‑bit Wireless MCU platforms, collaborating across teams to optimize performance and enable innovative connected systems. Fluency in English required.