QNX Principal Audio Algorithm Developer

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 Job Description: 

QNX is a trusted supplier of safe and secure operating systems, hypervisors, frameworks and development tools, and provides expert support and services for building the world's most critical embedded systems. We are the embedded experts. QNX was born in embedded, and provides time-tested and trusted foundation software, including our deterministic micro-kernel real-time operating system (RTOS), safety-certified products, middleware and security solutions, all purpose-built for embedded systems. Global leaders such as Audi, BMW, General Electric, Cisco, and Lockheed Martin depend on QNX technology for their in-car electronics, medical devices, industrial automation systems, network routers, and other mission- or life-critical applications.

QNX software is trusted by more than 68% of the Electric Vehicle market by volume, 24 of the top 25 EV manufacturers and is running in 255 million vehicles globally. Our foundation products have been pre-certified to ISO 26262 ASIL D, and we offer a broad range of board support packages, professional services, AUTOSAR adaptive support and middleware solutions – from acoustic management to digital cockpits to advanced driving assistance (ADAS) - to accelerate development and help OEMs meet Start of Production (SOP) dates.

Are you the person we are looking for?

We are seeking a talented and motivated individual with software development experience in speech, audio, or automotive signal processing for the full-time role of Principal Audio Algorithm Developer. We develop, integrate, tune and license software libraries for full-duplex echo cancellation and noise reduction for hands-free calling, in-car communications, active noise control, engine sound synthesis, media playback optimization and chimes generation. With our latest product offering, QNX Sound, we are influencing the audio system architecture and features of the software-defined vehicles of the future.

What you will do

This role involves designing new algorithms and improving upon existing features within the QNX Sound package. You should have an excellent understanding of signal processing, be able to innovate and propose algorithmic solutions, comfortably implement your ideas in C/C++, debug performance issues using an IDE, have good critical listening abilities, and have some experience with scripting offline tests. Your projects will be appropriately based on your skills and aligned with your interests and company priorities. There will be frequent opportunities to broaden your skills, and we have a friendly and open work environment with a great work-life balance. Our team members are passionate about audio, self-driven, and attentive to quality.

You will:

• Develop and maintain audio signal processing libraries in C
• Research and prototype algorithms in Python or MATLAB
• Provide critical listening to audio quality
• Conduct objective and automated test development and performance analysis
• Be responsible for CPU and memory optimization
• Providing technical guidance and support to customers
• Submit patent applications and conference papers

You will have:

• Excellent understanding of signal processing
• Significant experience developing algorithms for speech, audio, or automotive signal processing
• Experience developing a commercial embedded audio software product for mass production
• Accomplished coding algorithms in C/C++ (preferred), Python or MATLAB
• Excellent communication and interpersonal skills
• Strong problem solving and debugging skills.
• Experience developing machine learning algorithms
• Experience leading a team or mentoring colleagues.
• Experience porting algorithms to Qualcomm, ADI, NXP or TI DSPs
• Experience with Microsoft Visual Studio or similar IDE
• Bachelor's, Masters or PhD in a related field.

It would be great if you have experience in the automotive industry but this isn't essential.

Join us as we accelerate to towards the next chapter of innovation

#LI-KH1

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