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

FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Germany

Offer summary

Qualifications:

Experience in NLP, Machine Learning, Deep Learning, Proficiency in Python, C/C++, ARM/x86 assembly, PyTorch, TensorFlow, Keras.

Key responsabilities:

  • Design, develop, and maintain Cinemo's in-vehicle infotainment software solutions
  • Optimize ML models for different HW/SW platforms to ensure maximum performance
Cinemo logo
Cinemo SME https://www.cinemo.com
201 - 500 Employees
About Cinemo
Cinemo is a global leader in automotive grade multimedia playback, streaming, media management and connectivity middleware in the embedded world. CPU and Operating System agnostic as well as highly optimized for low power and low footprint devices, Cinemo's unified middleware solutions decode, play, render, stream, manage and index virtually any file, disc, connected device and streaming format. Designed and optimized for the high quality requirements of the automotive industry, Cinemo`s solutions can be seamlessly integrated into entry, mid and high automotive / in-vehicle infotainment system head and rear seat units, as well as automotive Apps enabling powerful new use cases.Cinemo GmbH is a privately held German Corporation, headquartered in Karlsruhe, Germany. With a dedicated and strong engineering team, Cinemo's technologies represent the best in their class.For more information, please visit www.cinemo.com
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Job description

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Your missions

Position Description
As a (Senior) Software Engineer at Cinemo, you will play a critical role in the development and enhancement of our AI/ML powered applications for wide range of automotive hardware and OS platforms such as Android Automotive OS (AAOS) and Linux. Your primary responsibility will be to design, develop, and maintain high-quality Cinemo’s in-vehicle infotainment software solutions that meet the needs of our customers.
In this role, you will:
  • Focus on ensuring that state-of-the-art models run with maximum performance on wide range of automotive platforms
  • Make the most out of embedded/automotive hardware and software platforms in the field of AI/ML
  • Elevate the in-car experience across different car-lines worldwide by crafting the best-of-class AI-powered infotainment functionality
  • Optimize and tune the best ML models for different HW/SW platforms
  • Ensure that every bit of available performance is used for the best possible user experience, including optimization to different CPU/GPU architectures and usage of dedicated hardware IP blocks available on the platform
What you will need to succeed:
  • Experience in the areas of NLP, Machine Learning, Deep Learning, Data Preprocessing
  • Experience with optimization of performance-critical algorithms for different CPU (ARM / x86) and GPU architectures (Nvidia)
  • Experience with state-of-the-art performance toolkits, software stacks and profiling tools (Cuda / CuDNN / TensorRT, Jit + Jax)
  • Proficient knowledge of Python, C/C++, ARM/x86 assembly, PyTorch, TensorFlow, Keras
  • Fundamental knowledge about parameter efficient fine-tuning techniques (e.g., LoRA, PEFT)
  • Good written and verbal English communication skills
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Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Hard Skills

Keras (Neural Network Library)JAX-WSTensorFlowCudnnNvidia CUDAData PreprocessingX86 Assembly LanguagesPyTorch (Machine Learning Library)Performance ImprovementMachine LearningJava CompilersPython (Programming Language)C++ (Programming Language)Deep LearningNatural Language Processing (NLP)
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