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Employment: Unconfirmed

What you’ll work on

In this role, you will design, implement, optimize, and validate advanced audio processing solutions on NXP’s AI-enabled automotive and robotics platforms.

From the employer’s posting

Join NXP and contribute to the development of next-generation in-vehicle audio technologies powered by dedicated automotive AI/ML processors. We are seeking an innovative engineer with a strong educational background in Artificial Intelligence, Machine Learning, Signal Processing, or a related field, combined with solid knowledge of audio algorithms and acoustic signal processing. In this role, you will design, implement, optimize, and validate advanced audio processing solutions on NXP’s AI-enabled automotive and robotics platforms. The ideal candidate combines expertise in AI/ML model development, software implementation, and performance optimization with a passion for transforming cutting-edge research into efficient embedded solutions that deliver exceptional audio experiences in our future systems. Technical Skills

What you’ll bring

All qualifications

Core experience

Strong understanding of Machine Learning, Deep Learning, and Neural Network architectures, with the ability to evaluate, adapt, and optimize models for embedded audio systems.
Experience with AI/ML frameworks such as PyTorch, TensorFlow, or equivalent toolchains.
Knowledge of embedded AI deployment, including model optimization, quantization, memory footprint reduction, and performance tuning on resource-constrained hardware.
Proficiency in software development using C/C++ and Python, with experience in algorithm implementation and validation.
Experience in developing and integrating AI-based audio processing solutions.
Understanding of digital signal processor (DSP) and Neural Processing Unit (NPU) fundamentals and their interaction with AI/ML-based approaches.

Preferred experience

Knowledge of industrial development processes and standards, like IATF16949 and ISO26262, is considered a plus.
Familiarity with heterogeneous computing architectures, NPUs, DSPs, and dedicated AI accelerators.

Qualification wording

Strong understanding of Machine Learning, Deep Learning, and Neural Network architectures, with the ability to evaluate, adapt, and optimize models for embedded audio systems.

Experience with AI/ML frameworks such as PyTorch, TensorFlow, or equivalent toolchains.

Knowledge of embedded AI deployment, including model optimization, quantization, memory footprint reduction, and performance tuning on resource-constrained hardware.

Proficiency in software development using C/C++ and Python, with experience in algorithm implementation and validation.

Experience in developing and integrating AI-based audio processing solutions.

Understanding of digital signal processor (DSP) and Neural Processing Unit (NPU) fundamentals and their interaction with AI/ML-based approaches.

Knowledge of industrial development processes and standards, like IATF16949 and ISO26262, is considered a plus.

Familiarity with heterogeneous computing architectures, NPUs, DSPs, and dedicated AI accelerators.

Education & alternatives

Preferred Qualifications - MSc or PhD in Artificial Intelligence, Machine Learning, Computer Science, Electrical Engineering, Signal Processing, or a related field. - A minimum of 3 years of experience in development automotive or robotics audio systems, audio processing pipelines, or edge AI applications.

Tools in this posting

Python
PyTorch
TensorFlow
C++
C

Source

- Knowledge of embedded AI deployment, including model optimization, quantization, memory footprint reduction, and performance tuning on resource-constrained hardware. - Proficiency in software development using C/C++ and Python, with experience in algorithm implementation and validation. - Experience in developing and integrating AI-based audio processing solutions.

- Strong understanding of Machine Learning, Deep Learning, and Neural Network architectures, with the ability to evaluate, adapt, and optimize models for embedded audio systems. - Experience with AI/ML frameworks such as PyTorch, TensorFlow, or equivalent toolchains. - Solid background in audio signal processing, including audio filtering, noise reduction, echo cancellation, speech enhancement, beamforming, and acoustic analysis.

Job description

View original posting ↗

Join NXP and contribute to the development of next-generation in-vehicle audio technologies powered by dedicated automotive AI/ML processors. We are seeking an innovative engineer with a strong educational background in Artificial Intelligence, Machine Learning, Signal Processing, or a related field, combined with solid knowledge of audio algorithms and acoustic signal processing.

In this role, you will design, implement, optimize, and validate advanced audio processing solutions on NXP’s AI-enabled automotive and robotics platforms. The ideal candidate combines expertise in AI/ML model development, software implementation, and performance optimization with a passion for transforming cutting-edge research into efficient embedded solutions that deliver exceptional audio experiences in our future systems.

Technical Skills

The candidate should possess the following technical competencies:

Strong understanding of Machine Learning, Deep Learning, and Neural Network architectures, with the ability to evaluate, adapt, and optimize models for embedded audio systems.
Experience with AI/ML frameworks such as PyTorch, TensorFlow, or equivalent toolchains.
Solid background in audio signal processing, including audio filtering, noise reduction, echo cancellation, speech enhancement, beamforming, and acoustic analysis.
Knowledge of embedded AI deployment, including model optimization, quantization, memory footprint reduction, and performance tuning on resource-constrained hardware.
Proficiency in software development using C/C++ and Python, with experience in algorithm implementation and validation.
Experience in developing and integrating AI-based audio processing solutions.
Understanding of digital signal processor (DSP) and Neural Processing Unit (NPU) fundamentals and their interaction with AI/ML-based approaches.
Familiarity with performance measurement and optimization, including latency, throughput, memory usage, and power consumption considerations.
Ability to analyze system-level requirements and translate them into efficient software implementations for automotive and robotics embedded platforms.
Knowledge of industrial development processes and standards, like IATF16949 and ISO26262, is considered a plus.

Preferred Qualifications

MSc or PhD in Artificial Intelligence, Machine Learning, Computer Science, Electrical Engineering, Signal Processing, or a related field.
A minimum of 3 years of experience in development automotive or robotics audio systems, audio processing pipelines, or edge AI applications.
Familiarity with heterogeneous computing architectures, NPUs, DSPs, and dedicated AI accelerators.

Interested in joining our team?

You will be working alongside NXP’s Automotive Infotainment Development team in Dresden. Along with an experienced team of radio, audio and AI engineers, you will develop and deploy advanced audio solutions for future generations of cars.

Submit your CV and personal background and let us talk about it!

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