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Group Leader in Embedded AI – Audio and Language Applications(m/w/x)
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
- English – Fluent
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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Group Leader in Embedded AI – Audio and Language Applications(m/w/x)
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
- English – Fluent
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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Fraunhofer-Institut für Integrierte Schaltungen IIS
Industry
Research
Description
Das Unternehmen ist eines der weltweit führenden Institute für anwendungsorientierte Forschung in den Bereichen Künstliche Intelligenz, Mikroelektronik und Datenerfassung.
Not a perfect match?
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