Neuromorphic Engineer

SpiNNcloud Systems; Dresden; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

An innovative deep-tech startup is seeking passionate individuals eager to tackle complex problems in neuromorphic computing. This exciting role involves implementing cutting-edge Spiking Neural Networks and optimizing algorithms for advanced hardware. The ideal candidate will thrive in a dynamic environment, collaborating with external partners and contributing to groundbreaking projects. Join a forward-thinking team where your skills will push the boundaries of technology and make a significant impact in the field of artificial intelligence. If you are driven by curiosity and a desire to learn, this opportunity is perfect for you!

Qualifikationen

• Strong understanding of neuromorphic computing principles and architectures.
• Experience with modern Neuromorphic or Machine Learning frameworks.

Aufgaben

• Implement state-of-the-art Spiking Neural Networks in CUDA-based frameworks.
• Optimize and benchmark applications for neuromorphic hardware.

Kenntnisse

Problem Solving

Critical Thinking

Effective Communication

Flexibility and Adaptability

Learning Agility

Ausbildung

BSc in Computer Science

MSc in Electrical Engineering

PhD in related field

Tools

CUDA

Docker

Python

C

Lava

TensorFlow

PyTorch

Jobbeschreibung

Direct message the job poster from SpiNNcloud Systems

Co-Founder & co-CEO @ SpiNNcloud, provider of the world’s largest brain-like supercomputer | PhD in chip design

As a deep-tech startup, we are looking for talented and passionate people with an appetite for problem solving. Besides the minimal requirements for this job position, your profile is a good fit to our company if you have the following values:

• High flexibility and adaptability
• Tranquility to work under pressure
• Appetite for learning and problem solving
• Critical thinking
• Ability to communicate effectively
• Keen to collaborate with external partners
• Highly autodidact, independent and proactive

Responsibilities:

• Implementation of state-of-the-art Spiking Neural Networks in CUDA-based frameworks for GPUs (e.g., NENGO, GeNN) and custom SpiNNcloud hardware.
• Adapt traditional algorithms and computational models to function effectively on neuromorphic hardware.
• Development of Neuromorphic software and standards.
• Optimization and benchmark of a wide variety of applications and mathematical models to push the boundaries of neuromorphic hardware and software.
• Design, development, testing, deployment, maintenance, and enhancement of software interacting in real-time with sensors and actuators.
• Development of large-scale neuromorphic models at a supercomputer scale.
• Technical documentation of the results and exploration process across experiments, and across detailed literature studies.

Minimum Requirements:

• BSc, MSc, or Dipl.-Ing. in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematical sciences, or any other related computationally intensive field.
• Strong understanding of neuromorphic computing principles and architectures.
• Proficiency in programming with Python and C.
• Experience with modern Neuromorphic (e.g., Lava, sPyNNaker, snntorch, norse, spyx or PyNN) or Machine Learning frameworks (e.g., Spark ML, Huggingface, TensorFlow or PyTorch).
• Familiarity with techniques such as surrogate gradients, spike-timing-dependent plasticity (STDP), and other methods specific to SNN training for various applications.
• Experience developing and optimizing either Machine Learning models, Neuromorphic models, or applications in DSPs, GPUs (CUDA-based), high performance computing clusters, or low-level compilers.
• Solid knowledge of virtualization and containerization (Docker).
• High flexibility and adaptability in a demanding and constantly changing field such as Artificial Intelligence.

Added value:

• Dr.-Ing., or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematical sciences, or any other related computationally intensive field
• Hands-on experience using neuromorphic hardware (e.g., SpiNNaker, Intel Loihi, IBM TrueNorth, etc.)
• Participation in research papers related to neuromorphic computing or machine learning
• Experience deploying Machine Learning or Neuromorphic models at a large scale
• Solid understanding of Symbolic architectures.
• Familiarity with combinatorial optimization algorithms.
• Strong mathematical background.
• Being an active contributor in Github or any other hosting software development with version control

We offer a highly competitive salary with reallocation benefits in a flexible and inclusive work environment. We are an equal opportunity employer, and hence we welcome people of different backgrounds, nationalities and experiences.

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Computer Hardware Manufacturing