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FRFraunhofer-Institut für Integrierte Schaltungen IIS

Group Leader in Embedded AI – Audio and Language Applications(m/w/x)

Erlangen
Full-time, Part-timeWith Home OfficeExperienced
AI/ML

Leading a team developing deep-learning algorithms for real-time inference on embedded devices. Master's degree in EE/CS and C++/Python programming skills required. Hybrid work, flexible hours.

Requirements

  • Master’s degree or equivalent in Electrical Engineering, Computer Science, or related field
  • Courses covering machine learning and deep neural networks (DNN)
  • Good programming skills in C/C++ and Python
  • Practical experience in DNN frameworks (PyTorch, TensorFlow)
  • Practical experience in runtimes (TVM, ONNX, TFLite, LiteRT)
  • Experience in team leadership or project management
  • Fluent English
  • Ability to collaborate in international, multidisciplinary team
  • Proficiency in DNN optimization techniques
  • Proficiency in model compression (pruning, quantization)
  • Optimization of AI workload wrt. memory, latency, power consumption, throughput
  • Background in digital signal processing
  • Experience in embedded C/C++ development on DSP (ARM, HiFi, Qualcomm)
  • Good communication skills
  • Aim of deploying technology to customers’ products

Tasks

  • Lead and develop a team of developers
  • Foster technical excellence and innovation
  • Oversee implementation of deep-learning algorithms
  • Optimize algorithms for real-time inference
  • Deploy algorithms on embedded devices
  • Support internal research teams
  • Acquire knowledge on new embedded platforms
  • Share expertise on SoC architectures
  • Coordinate AI solution deployment to customers
  • Support commercialization activities
  • Collaborate with internal stakeholders
  • Define strategic roadmaps
  • Coordinate project deliverables
  • Ensure successful project execution
  • Manage timelines and deployment targets
  • Ensure high performance on target devices
  • Achieve short time-to-deployment
  • Maintain high customer satisfaction

Work Experience

  • approx. 1 - 4 years

Education

  • Currently in higher education

Languages

  • EnglishFluent

Tools & Technologies

  • C/C++
  • Python
  • PyTorch
  • TensorFlow
  • TVM
  • ONNX
  • TFLite
  • LiteRT
  • ARM
  • HiFi
  • Qualcomm

Benefits

Flexible Working

  • Flexible working hours
  • Hybrid work

Diverse Work

  • Diverse and challenging work
  • Projects with strong practical components

Modern Equipment

  • State-of-the-art research and technology
  • State-of-the-art hardware and software

Informal Culture

  • Positive work culture
  • Open-minded, helpful, and trusting colleagues

Modern Office

  • Modern office space

Mentorship & Coaching

  • Structured onboarding process
  • Coaching

Learning & Development

  • Professional and personal seminars
  • Language classes

Parking & Commuter Benefits

  • Complimentary parking spaces
  • Covered bicycle parking

Sustainability Focus

  • Electric car charging stations

Other Benefits

  • Showers at the institute

Healthcare & Fitness

  • In-house health management
  • Sports courses
  • Running groups

Mental Health Support

  • Relaxation seminars
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