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Experimented Audio algorithm engineer

NXP Semiconductors

Experimented Audio algorithm engineer

NXP Semiconductors

Sophia-Antipolis (Valbonne)

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Learning Budget

Learning

Required Skills

Signal processing

Machine learning

Python

Matlab

C

Speech processing

Neural networks

Audio processing

Qualifications

  • Master's degree or PhD in computer science engineering specialized in signal processing and machine learning
  • Background in digital signal processing and speech processing fundamentals
  • Knowledge of Python, Matlab, C with experience in machine learning frameworks such Py Torch
  • Experience with audio datasets and signal feature extraction techniques
  • Knowledge of real-time processing constraints and optimization techniques
  • Experience with neural networks for speech enhancement
  • Experience in embedded audio processing or edge AI
  • Experience of voice communication systems (mobile phone, smart speaker, wearables, hearing aids...)
  • Publications in speech and audio processing
  • 4+ years of experience in audio research and development

About NXP

NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. For more information, visit www.nxp.com

Career Development

Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Commitment

At NXP, we recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.

Application Information

Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips.

Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page.

Thank you for your interest in supporting our recruitment efforts. Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.

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About NXP Semiconductors

NXP Semiconductors

NXP Semiconductors produces secure connectivity solutions for embedded applications.

10,001+

Employees

Eindhoven

Headquarters

Reviews

3.9

44 reviews

Work Life Balance

3.8

Compensation

3.9

Culture

4.1

Career

3.6

Management

3.8

73%

Recommend to a Friend

Pros

Competitive compensation and benefits

Good work-life balance and flexible environment

Interesting projects and challenges

Cons

Room for improvement in processes

Work-life balance varies by team

Internal communication could improve

Salary Ranges

267 data points

Junior/L3

L3

Junior/L3 · Data Scientist

0 reports

$114,000

total / year

Base

$99,000

Stock

-

Bonus

$15,000

$96,900

$131,100

Interview Experience

42 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

33%

Experience

Positive 69%

Neutral 13%

Negative 18%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving