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채용Nokia

FEC ASIC Engineer

Nokia

FEC ASIC Engineer

Nokia

Germany, DE

·

On-site

·

Full-time

·

2mo ago

필수 스킬

Python

Git

Nokia's Optics Subsystems group develops the front-ends for coherent optical long-distance transmission modules to interconnect network nodes and data centers. We are expanding and looking for highly motivated and experienced engineers to join us to develop the next generations of transmission systems.

Within Optics Subsystems, the SoC (System-on-Chip) team members architect, specify, design and test the ASICs (Application-Specific Integrated Circuit) for the optical modules. Our main goal is to extend the optical reach and transmission bandwidth and at the same time reduce the power and floorspace needs by using the latest chip technologies.

As FEC (Forward Error Correction)\ASIC (Application-Specific Integrated Circuit) Engineer you will contribute to soft‑decision FEC (Forward Error Correction) modelling, implementation, and verification for coherent optical modems at >800 Gbit/s, developing ASIC‑ready algorithms.

Sounds interesting?
Be sure to check out details about our latest ASIC\SoC development, in the Optical Engines page:
https://www.nokia.com/networks/optical-networks/pse-6s/ and ICE-X 800G ZR/ZR+ | Nokia.com.

Must have:

  • Master’s or Ph.D. in Electrical Engineering, Computer Engineering, or related field; exceptional Bachelor’s with relevant internships considered.
  • Foundational knowledge across: Binary BCH, Reed‑Solomon, Turbo Product codes (BCH components), Binary LDPC (regular/irregular/spatially coupled), Staircase codes, CFEC, OFEC.
  • Practical experience in MATLAB, C, and C++; ability to write clear, well‑tested numerical code.
  • Strong analytical skills, collaborative mindset, independent work ethic, and effective communication.
  • Due to cross-location collaborations, the candidate must be fluent in English. Knowledge of German and/or Italian is a plus.

Nice to have:

  • Hands‑on FEC (Forward Error Correction) design with proven delivery (tape‑outs, deployed systems).

  • Exposure to ASIC (Application-Specific Integrated Circuit) concepts (parallelism, fixed‑point arithmetic, high‑throughput design) via coursework or internships.

  • Familiarity with scripting/automation (Python), version control (Git), and basic FPGA/emulation flows.

  • Contribute to the design, implementation and validation of soft‑decision FEC (Forward Error Correction) algorithms (10%–50% overhead) targeting near‑capacity performance in >800 Gbit/s coherent links.

  • Develop simulation environments and testbenches; characterize BER (Bit Error Rate)/FER (Frame Error Rate) vs. SNR (Signal-to-Noise Ratio) and optical impairments; compare against golden models.

  • Contribute to defining fixed‑point formats, quantization strategies, parallel/pipelined decoder architectures, and memory organization for ASIC (Application-Specific Integrated Circuit) realization.

  • Collaborate closely with ASIC (Application-Specific Integrated Circuit) teams to translate algorithms into robust modem implementations, in generation of test vectors and supporting hardware/software co‑verification.

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Nokia 소개

Nokia

Nokia

Public

Nokia Corporation is a Finnish multinational telecommunications, information technology, and consumer electronics corporation, originally established as a pulp mill in 1865.

10,001+

직원 수

Espoo

본사 위치

$24B

기업 가치

리뷰

3.6

10개 리뷰

워라밸

4.2

보상

3.5

문화

4.0

커리어

2.8

경영진

2.5

65%

친구에게 추천

장점

Good work-life balance and flexibility

Supportive and relaxed work environment

Great culture and people

단점

Frequent layoffs and job security issues

Limited career advancement opportunities

Constant leadership and priority changes

연봉 정보

28개 데이터

Junior/L3

Mid/L4

Junior/L3 · Global 1830 TAC Engineer

1개 리포트

$141,314

총 연봉

기본급

$108,703

주식

-

보너스

-

$141,314

$141,314

면접 경험

4개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

25%

경험

긍정 50%

보통 25%

부정 25%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

HR Follow-up

5

Offer

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience