Sr. Audio DSP Machine Learning Engineer

Logitech; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading audio technology company seeks a senior engineer to develop real-time audio ML solutions. The ideal candidate will have over 7 years of experience in audio signal processing and strong skills in programming, particularly in C and Python. Responsibilities include optimizing algorithms for audio performance and collaborating with product teams. The role is located in Tamil Nadu, India, and offers comprehensive benefits to support well-being.

Qualifications

• 7+ years of experience working in audio signal processing product teams.
• Hands-on experience porting neural network algorithms onto embedded targets.
• Deep understanding of on-device quantization techniques.

Responsibilities

• Develop model and inference on resource-constrained platforms.
• Optimize and improve algorithm performance in real-world conditions.
• Work with cross-functional product team to deliver seamless customer audio experience.

Job description

The Role

In this role you will be part of the Logitech Hardware Audio DSP and ML team developing and implementing real-time audio ML solutions to deliver innovative audio experiences to the customer. If you have a strong understanding of Audio DSP and TinyML apply for this role and have a huge contribution on the audio products that we develop!

Your Contribution

Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech.

In this role you will:

• Responsible for developing model and inference on resource constrained platforms like Tensilica DSP, ARM and RISCV cores.
• Responsible for optimizing and improving algorithm performance in real-world conditions – demonstrating innovative solutions to tough challenges.
• Work with cross-functional product team to deliver seamless customer audio experience.

Key Qualifications

• 7+ years of experience working in audio signal processing product teams.
• Tiny ML / Embedded ML - Hands-on experience porting neural network algorithms from intermediate representations such as Tensor Flow (TFLM), ONNX, etc. onto embedded targets using device-specific compilation tools and/or inference API’s.
• Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference.
• Strong programming skills in c, python.
• Conceptual understanding of how neural network operators map to embedded hardware accelerators such as DSP’s and NPU’s.
• Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickup

Additional Skills

• Experienced with Linux, Docker.
• Familiarity with CMSIS NN, HIFI NNLib is a plus
• Familiarity with audio measurements and standard subjective/objective audio evaluation metrics.
• Experience working in hardware product teams from product concept to mass production
• Good Audio listening skills and experience detecting audio artifacts.
• Experience communicating effectively in a cross functional environment.
• Strong problem-solving, critical-thinking skills
• Familiarity with code version control practices

Education

• Minimum Engineering degree in EE, CS or equivalent practical experience.

We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.

All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.