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Analog Devices
Analog Devices

Specializing in data conversion, signal processing, and power management technology, headquartered in Wilmington, Massachusetts.

RF & Edge AI Intern (Video Analytics)

직무오퍼레이션
경력인턴십
위치Germany, Munich, Otl-Aicher-Strasse
근무오피스 출근
고용인턴
게시1개월 전
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Are you a problem solver looking for a hands-on internship position with a market-leading company that will help develop your career and reward you intellectually and professionally?

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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

At ADI, you will learn from the brightest minds who are here to help you grow and succeed. During your internship, you will make an impact through work on meaningful projects alongside a team of experts. Collaborating with colleagues in an environment of respect and responsibility, you will create connections that will become a part of your professional network.

ADI’s culture values aligned goals, work-life balance, continuous and life-long learning opportunities, and shared rewards. The internship program features various lunch-and-learn topics and social events with other interns and full-time employees.

At ADI, our goal is to develop our interns so they are the first to be considered for full-time roles.

Apply now for the opportunity to grow your career and help innovate ahead of what’s possible.

Job Title: RF & Edge AI Intern (Video Analytics) – 4–6 Month Internship/Working Student (Masters/PhD)

Location: Munich

About the Role

Edge AI systems only matter if they run reliably on real hardware under real constraints. This internship focuses on building and validating video analytics for drone detection and related situational awareness use cases, taking models from dataset to deployment on edge devices. Mentorship and structured check-ins are built in, and you’ll be expected to deliver a working demo plus a clear technical readout by the end of the internship.

What You’ll Work On (Core Responsibilities)

  • Train, evaluate, and iterate drone‑detection models using video datasets and practical performance targets.
  • Build video pipelines to handle preprocessing, inference, post‑processing, and event triggering (e.g., tracking, confidence scoring, alert logic).
  • Deploy optimized models on constrained edge platforms, applying quantization or pruning where appropriate to meet latency, power, and memory limits.
  • Design and execute benchmarking experiments to measure accuracy, false positives/negatives, robustness to lighting/weather/background clutter, and end‑to‑end latency.
  • Maintain structured data and experiment tracking to ensure reproducibility (datasets, configs, metrics, model versions).
  • Communicate technical findings through concise reports and demos, providing clear recommendations and next steps.

Example Internship Deliverables (4–6 Months)

  • A working edge demo for drone detection on video (live camera or recorded stream), including an alert/annotation overlay
  • A measured benchmark report (precision/recall, false alarms, latency, compute footprint) and a proposed improvement plan
  • A deployment-ready inference package (container/app/script) with documented setup and test procedure

Requirements

  • Current Masters or PhD student in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or related field (enrolled throughout the internship)
  • Solid ML foundations, including CNN-based vision models and evaluation metrics (precision/recall, ROC, confusion matrix)
  • Hands-on experience with at least one ML stack (Py Torch preferred, Tensor Flow acceptable)
  • Experience with video/computer vision tooling (e.g., OpenCV, FFmpeg) and building practical pipelines
  • Programming ability in Python; C/C++ is a plus for performance-critical edge work
  • Strong technical communication: able to explain what you tried, what happened, and what it means

Nice to Have

  • Experience with edge runtimes and optimization (ONNX, TensorRT, TFLite, OpenVINO)
  • Familiarity with embedded/Linux deployment and profiling (GPU/NPU acceleration, memory/latency profiling). Preferably with NVIDIA GPU environment.
  • Exposure to detection/tracking architectures (e.g., YOLO-family, SSD, DETR, DeepSORT/Byte Track)
  • Experience with dataset curation/labelling strategies and handling class imbalance
  • Understanding of real-world sensing constraints (camera optics, motion blur, range, occlusion)

What We Offer

  • Close mentorship from a technical team building real edge systems

  • A defined project with milestones and an end-of-internship technical readout

  • Exposure to the full lifecycle: data → model → deployment → benchmarking

  • A collaborative team environment with strong learning culture

  • 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.

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: Internship/Cooperative

Required Travel: No

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Analog Devices 소개

Analog Devices

Analog Devices, Inc. (ADI), also known simply as Analog, is an American multinational semiconductor company specializing in data conversion, signal processing, and power management technology, headquartered in Wilmington, Massachusetts.

10,001+

직원 수

Norwood

본사 위치

$95B

기업 가치

리뷰

10개 리뷰

4.0

10개 리뷰

워라밸

3.8

보상

4.2

문화

4.1

커리어

2.8

경영진

3.5

75%

지인 추천률

장점

Good benefits and competitive salary

Supportive team and leadership

Flexible work arrangements and remote options

단점

Limited career advancement opportunities

Management and communication issues

High workload and long hours

연봉 정보

359개 데이터

L6

Mid/L4

Senior/L5

Staff/L6

L6 ·

0개 리포트

$152,500

총 연봉

기본급

-

주식

-

보너스

-

$129,625

$175,375

면접 후기

후기 4개

난이도

3.5

/ 5

소요 기간

14-28주

경험

긍정 25%

보통 75%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview Rounds

5

Hiring Manager Interview

6

Final Round/Decision

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

System Design

Past Experience

Behavioral/STAR