Engineer, Field Applications

Analog Devices, Inc.; München; On-site; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Hands-on mentoring

Structured training

Cross-functional projects

Career growth

Job summary

Analog Devices, Inc. is seeking a Graduate Field Applications Engineer in Munich to join the Communications Team.

You will work on Physical AI by combining sensing, embedded software and AI to interpret real-world signals and enable intelligent system responses, under mentorship. You will develop hands-on demonstrations, write embedded software in C/C++ and Python, and collaborate on customer-focused proof-of-concept solutions spanning RF, SDR and edge computing.

Qualifications

• Bachelor’s or Master’s degree in Electrical/Computer/CS or related field.
• Proficient in C/C++ and Python from coursework or projects.
• Foundational embedded systems and DSP knowledge; interest in wireless.
• Basic AI/ML concepts with willingness to apply to signals.
• Hands-on experience developing/testing software on hardware.
• Strong problem-solving, communication and teamwork.
• Willing to learn new technologies and work with customers.

Responsibilities

• Develop proof-of-concept solutions combining Physical AI, embedded software and radio.
• Develop and debug embedded software in C/C++ and Python for radio config and data.
• Integrate SDR platforms with edge computing hardware to build demonstrations.
• Contribute to AI workflows, dataset prep, model evaluation and deployment on edge.
• Present demonstrations and document results clearly.

Skills

C/C++

Python

Embedded systems

AI concepts

Software debugging

Teamwork

Education

Electrical Engineering

Computer Engineering

Computer Science

Communications Engineering

Tools

PyTorch

TensorFlow

CUDA

SPI/I2C/UART

Job description

Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare. ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.

Job Title

Field Applications Engineer (Graduate Entry) – Physical AI, Embedded Software & Radio Systems

Location

Munich

About the Role

Join a technical team developing intelligent systems that connect the physical and digital worlds. As a graduate Field Applications Engineer in the Communications Team, you will focus on Physical AI: combining sensing, embedded software and AI to interpret real-world signals and enable intelligent system responses. Working alongside experienced mentors, you will develop hands‑on demonstrations and customer‑focused proof‑of‑concept solutions using radio systems, software‑defined radio (SDR) platforms and edge computing. The role combines software development, signal processing and hardware integration, taking ideas from initial exploration through practical validation.

Key Responsibilities

• Develop proof‑of‑concept solutions combining Physical AI, embedded software and radio systems for real‑world sensing and communication applications.
• Develop and debug embedded software in C/C++ and Python for radio configuration, data acquisition, signal processing and system control.
• Integrate SDR platforms with embedded processors and edge‑computing hardware to build end‑to‑end demonstrators.
• Contribute to AI workflows, including dataset preparation, model evaluation and deployment on edge platforms, with guidance from experienced engineers.
• Implement and validate signal‑processing pipelines for applications such as spectrum awareness, RF signal classification and intelligent wireless sensing.
• Explore multimodal sensing by combining RF information with other sensor inputs, such as camera data.
• Measure and improve system performance, including processing latency, data throughput, resource usage and reliability.
• Troubleshoot hardware–software integration issues in laboratory and customer settings.
• Collaborate with customers and internal engineering teams to translate application needs into practical technical solutions.
• Present demonstrations, document results and communicate technical findings clearly.
• Take ownership of defined project tasks while proactively seeking feedback, building technical skills and working with mentors.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Communications Engineering or a related field; recent or upcoming graduate.
• Practical programming experience in C/C++ and Python through coursework, academic projects, internships or personal projects.
• Foundational knowledge of embedded systems and digital signal processing, with an interest in wireless communications and radio systems.
• Basic understanding of AI/machine learning concepts and a strong interest in applying them to physical‑world signals and embedded applications.
• Hands‑on experience developing, testing or debugging software on hardware platforms.
• Ability to approach open‑ended technical problems systematically and turn ideas into working prototypes.
• Clear communication, teamwork and documentation skills.
• Willingness to learn new technologies and engage with customers and cross‑functional teams.

Desirable Experience

• Experience in one or more of the following areas is desirable: Embedded Linux, real‑time software or hardware interfaces such as SPI, I²C and UART.
• SDR platforms, RF measurements, wireless protocols or I/Q signal processing.
• AI frameworks such as PyTorch or TensorFlow, including model training and inference.
• GPU‑accelerated processing, CUDA or deployment of AI models on edge‑computing platforms.
• Computer vision, sensor fusion or integrated sensing and communication.
• Git, automated testing and reproducible development workflows.

What We Offer

Hands‑on mentoring and structured training in Physical AI, embedded software, signal processing and radio technologies. Opportunities to build working prototypes and contribute to customer‑facing demonstrations. Exposure to cross‑functional projects spanning sensing, connectivity and edge intelligence. A growth path toward technical specialization or broader applications engineering responsibilities. A collaborative, supportive team culture.

Export Licensing Note

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Equal Opportunity

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type

Graduate Job Required Travel: Yes, 10% of the time