AI/ML Audio Engineer (Automotive)

TL;DR

AI/ML Audio Engineer (Automotive): Designing, implementing, and optimizing advanced audio processing solutions for next-generation in-vehicle AI platforms with an accent on deep learning architectures and embedded performance. Focus on developing efficient algorithms for noise reduction, speech enhancement, and beamforming on NPU/DSP hardware.

Location: Dresden, Germany (Onsite)

Company

hirify.global is a global leader in secure connectivity solutions for embedded applications, specializing in automotive, industrial, and IoT technologies.

What you will do

• Design and validate advanced audio processing solutions for automotive AI platforms.
• Optimize neural network models for deployment on resource-constrained embedded hardware.
• Implement audio algorithms including noise reduction, echo cancellation, and beamforming.
• Collaborate with radio, audio, and AI engineering teams to integrate solutions into vehicle systems.
• Analyze system-level requirements to ensure performance targets for latency, throughput, and power consumption.

Requirements

• Strong understanding of machine learning, deep learning, and neural network architectures.
• Solid background in audio signal processing and acoustic analysis.
• Proficiency in C/C++ and Python for algorithm development.
• Experience with AI/ML frameworks such as PyTorch or TensorFlow.
• Knowledge of embedded AI deployment, including quantization and memory optimization.
• Understanding of DSP and NPU fundamentals.

Nice to have

• MSc or PhD in Artificial Intelligence, Machine Learning, Computer Science, or Electrical Engineering.
• Experience with automotive audio systems and development standards.
• Familiarity with heterogeneous computing architectures and dedicated AI accelerators.