Senior AI/ML Audio Engineer (f/m/d)

NXP Semiconductors; Dresden; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

NXP Semiconductors is seeking an innovative engineer to develop next-generation in-vehicle audio technologies powered by automotive AI/ML processors. You will design, implement, optimize, and validate advanced audio processing solutions across NXP’s automotive platforms.

The role combines expertise in AI/ML model development with software implementation and performance optimization to deliver efficient embedded audio solutions for future systems.

Qualifikationen

• MSc/PhD in AI or related field.
• 3+ years in automotive/robotics audio or edge-AI.
• Experience with heterogeneous architectures (NPUs/DSPs).

Aufgaben

• Design, implement, optimize and validate embedded audio processing solutions.
• Develop AI/ML models for embedded audio on automotive platforms.
• Collaborate with hardware teams to optimize latency and power consumption.

Kenntnisse

ML architectures

PyTorch/TF

Audio signal processing

Embedded AI deployment

C/C++ & Python

AI-based audio processing

DSP fundamentals

NPU basics

Performance optimization

System-level requirements

ISO26262/IATF16949

Ausbildung

MSc/PhD in AI

Electrical Engineering

Jobbeschreibung

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

• 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.