(Senior) AI/ML Engineer - Performance Optimization (f/m/d)

Cinemo GmbH; Karlsruhe; Vor Ort; Vertraulich; Vollzeit

Zusammenfassung

A leading automotive technology company in Karlsruhe is seeking a Senior AI/ML Engineer to optimize AI/ML applications for diverse automotive hardware and software platforms. The successful candidate will have a strong background in machine learning, deep learning, and performance optimization for a variety of architectures including Qualcomm. This role offers an exciting opportunity for professionals passionate about AI/ML in the automotive sector.

Qualifikationen

• Experience in Machine Learning, Deep Learning, Data Processing, and NLP.
• Experience with optimization of performance-critical algorithms.
• Proficient knowledge of Python, C/C++, PyTorch, TensorFlow, Keras.

Aufgaben

• Ensure models run with maximum performance.
• Develop concepts for running models on various platforms.
• Optimize and evaluate AI/ML models.

Kenntnisse

Machine Learning

Deep Learning

Data Processing

NLP

Optimizing deep learning models

Python

C/C++

PyTorch

TensorFlow

Keras

English communication

Tools

Cuda

CuDNN

TensorRT

Jit

Jax

Jobbeschreibung

Position Description

As a (Senior) AI/ML Engineer - Performance Optimization (f/m/d) at Cinemo, you will play a critical role in the development and enhancement of our AI/ML powered applications for a wide range of automotive hardware (x86/x64, ARM/ARM64, Qualcomm) and OS platforms such as Android Automotive OS (AAOS) and Linux. Your primary responsibility will be to port and optimize AI/ML models for various hardware and OS customer platforms.

In this role, you will:

• Focus on ensuring that state-of-the-art models run with maximum performance on a wide range of platforms
• Develop concepts for running AI/ML models on various platforms
• Optimize, tune and evaluate AI/ML models for different platforms
• Make the most out of hardware and software platforms in the field of AI/ML
• Ensure that every bit of available performance is used for the best possible user experience

What you will need to succeed:

• Experience in the areas of Machine Learning, Deep Learning, Data Processing and NLP
• Experience in optimizing deep learning models using techniques such as quantization, pruning, knowledge distillation, and model tuning and evaluation
• Experience with optimization of performance-critical algorithms for different CPU (ARM / x86 / Qualcomm) and GPU architectures (NVIDIA) - experience with Qualcomm is a must
• Experience with state-of-the-art performance toolkits, software stacks and profiling tools (Cuda / CuDNN / TensorRT, Jit + Jax)
• Proficient knowledge of Python, C/C++, PyTorch, TensorFlow, Keras
• Fundamental knowledge of ARM/x86 assembly
• Fundamental knowledge about parameter efficient fine-tuning techniques (e.g., LoRA, PEFT)
• Good written and verbal English communication skills