HARMAN International

Principal Engineer, Signal Processing (AI)

HARMAN International  •  People’s Republic of China (Onsite)  •  16 days ago
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Job Description

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

A Career at HARMAN Lifestyle

We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. As a member of HARMAN Lifestyle, you connect consumers with the power of superior sound.

  • Contribute your talents to high-end, esteemed brands like JBL, Mark Levinson and Revel
  • Unite your passion for audio innovation with high-tech product development
  • Create pitch-perfect, cutting-edge technology that elevates the listening experience

About the Role

The DSP Algorithm Engineer (Audio & AI Focus) will be responsible for designing and developing audio and speech algorithms, including both traditional DSP-based approaches and AI / machine learning–based solutions

This role focuses on algorithm design, model development, and C-based implementation, working with cross-functional teams to bring audio technologies into real products
Hands-on porting to specific DSP is not required

What You Will Do

  • Design and develop audio and speech algorithms using traditional DSP techniques and AI / machine learning methods
  • Develop and optimize traditional audio algorithms such as AEC, noise reduction, beamforming, EQ, dynamics, and spatial audio
  • Develop AI-based audio and speech models for enhancement, analysis, and classification
  • Implement algorithms in C with deployment readiness in mind, and validate and analyze performance using MATLAB and Python
  • Ensure algorithms are robust, efficient, and suitable for embedded or product environments
  • Collaborate with acoustic and platform teams to support successful product integration
  • Keep track of the latest sound technological innovations and developments and work closely with sound algorithm partner
  • Regularly documenting findings, recommendations, algorithms, software

What You Need to Be Successful

  • Master’s degree in Digital Signal Processing, Acoustics, Computer Science, Artificial Intelligence, or related fields
  • Strong programming skills in C/C++, with proficiency in MATLAB and Python
  • Proven experience in audio or speech algorithm development, including traditional DSP-based techniques
  • Hands-on experience applying AI / machine learning methods to audio or speech problems
  • Experience translating algorithms into clear and efficient C implementations
  • Solid understanding of audio algorithm fundamentals and system-level constraints (latency, memory, compute)
  • Experience on microphone signal processing/music post-processing and applied-AI/AI model design is preferred
  • Fluent Spoken English, Professional read and written English skill

Bonus Points if You Have

  • Self-starter, goal oriented and result driven
  • Strong team player
  • Customer focus
  • Self-awareness, be willing to learn and open to changes

What Makes You Eligible

  • Willingness to travel 10% of the time
  • Willingness to work in an office in Shenzhen

What We Offer

  • Flexible work environment, allowing for full-time remote work one day per week for positions that can be performed outside a HARMAN or customer location
  • Access to employee discounts on world-class Harman products (JBL, HARMAN Kardon, AKG, etc.)
  • Extensive training opportunities through our own HARMAN University
  • Competitive wellness benefits
  • Access to HARMAN Campus Fitness Center and Cafeteria
  • “Be Brilliant” employee recognition and rewards program
  • An inclusive and diverse work environment that fosters and encourages professional and personal development

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer All qualified applicants will receive consideration for employment without regard torace, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

HARMAN International

About HARMAN International

Headquartered in Stamford, Connecticut, HARMAN designs and manufactures consumer and professional audio products, automotive electronics and audio systems -- but we also do so much more. We’re engineering the future of connectivity—where every interaction is smarter, faster, and more immersive. Our iconic audio brands bring premium sound to consumers and audio/visual professionals worldwide. More than 50 million vehicles globally rely on HARMAN’s technologies to deliver safer, smarter, and more intuitive in-cabin experiences. HARMAN is a wholly owned subsidiary of Samsung Electronics Co., Ltd. and has approximately 25,000 employees around the world. HARMAN is an Equal Opportunity employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. Looking for a challenge where your experience is valued? Come see what you can achieve as a leader with HARMAN!

Industry
Hardware & Semiconductors
Company Size
10,000+ employees
Headquarters
Stamford, Connecticut
Year Founded
1980
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