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- Aufgaben: Develop and optimize cutting-edge generative AI models for innovative applications.
- Arbeitgeber: Join a deep-tech startup focused on brain-inspired hardware and scalable AI systems.
- Mitarbeitervorteile: Enjoy a competitive salary, relocation benefits, and a flexible, inclusive work environment.
- Warum dieser Job: Be part of a collaborative team pushing the boundaries of generative AI technology.
- Gewünschte Qualifikationen: Advanced degree in Computer Science or related fields; strong skills in Python and machine learning.
- Andere Informationen: We value diversity and welcome applicants from all backgrounds.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
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 collaboration.
- Proper time management.
- Highly autodidact, independent and proactive.
Responsibilities:
- Develop and optimize cutting-edge generative AI models, including large language models (LLMs) and multimodal systems, tailored for SpiNNcloud’s brain-inspired hardware.
- Actively participate in the planning and execution of scalable AI systems capable of end-to-end model training, tuning, and deployment.
- Design and implement high-performance AI frameworks and libraries with an emphasis on hardware-awareness and energy efficiency.
- Perform in-depth analysis of generative AI algorithms to identify opportunities for optimization in terms of accuracy, latency, and energy consumption.
- Collaborate with researchers and developers to prototype innovative tools and infrastructure for generative AI applications.
- Contribute to the development of robust APIs and coherent toolsets for seamless integration with SpiNNcloud’s infrastructure.
- Share impactful findings and results through GitHub repositories, scientific publications, and presentations.
- Contribute to the development and documentation of demonstrators.
Minimum Requirements:
- Advanced degree (PhD, MSc, or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.
- Strong mathematical fundamentals and a deep understanding of machine learning algorithms, particularly in generative AI.
- Proficient programming skills in Python and experience with deep learning frameworks (e.g., PyTorch, JAX).
- Substantial experience in debugging, performance analysis, and software development best practices.
- Knowledge of distributed systems and familiarity with scaling AI training pipelines.
- Experience with Tiny Machine Learning.
Added value:
- Expertise in applying generative AI techniques to LLMs and multimodal models (e.g., image, video, or speech).
- Hands-on experience with deployment environments and tools like ONNX, Triton, or TensorRT.
- Familiarity with CPU/GPU architectures and energy-efficient computing techniques.
- Experience working with neuromorphic or event-based hardware systems (e.g., SpiNNaker).
- Proven track record of contributing to open-source projects or publications in top-tier conferences.
- Strong understanding of performance optimization for AI algorithms in hardware-constrained environments.
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.
Your contact: Hector Andres Gonzalez Diaz
Location: SpiNNcloud Systems GmbH, Freiberger Straße 37, 01067 Dresden
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Generative AI Engineer Arbeitgeber: Spinncloud Systems Gmbh
Kontaktperson:
Spinncloud Systems Gmbh HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Generative AI Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in generative AI, especially in large language models and multimodal systems. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the AI community by contributing to open-source projects or participating in relevant forums. This can showcase your skills and commitment to collaboration, which is highly valued at our company.
✨Tip Number 3
Prepare to discuss specific examples of how you've applied critical thinking and problem-solving skills in past projects. Highlighting these experiences can set you apart as a candidate who aligns with our values.
✨Tip Number 4
Showcase your ability to work under pressure by sharing instances where you've successfully managed tight deadlines or complex tasks. This will resonate well with our startup environment that thrives on flexibility and adaptability.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Generative AI Engineer
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your advanced degree and any relevant experience in generative AI, machine learning algorithms, and programming skills in Python. Tailor your CV to showcase projects or roles that align with the responsibilities listed in the job description.
Showcase Problem-Solving Skills: In your cover letter, provide specific examples of how you've tackled complex problems in previous roles. Highlight your critical thinking abilities and your appetite for learning, as these are key values for the company.
Demonstrate Collaboration and Communication: Since collaboration is crucial for this role, mention any experiences where you worked effectively in teams. Discuss how you communicated complex ideas to non-technical stakeholders, which will show your ability to communicate effectively.
Include Open Source Contributions: If you have contributed to open-source projects or published research, be sure to include this in your application. This demonstrates your proactive nature and commitment to the field of generative AI.
Wie du dich auf ein Vorstellungsgespräch bei Spinncloud Systems Gmbh vorbereitest
✨Show Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex problems in the past. Highlight your critical thinking abilities and your approach to finding innovative solutions, especially in the context of generative AI.
✨Demonstrate Flexibility and Adaptability
Share experiences where you had to adapt to changing circumstances or requirements. This will showcase your ability to thrive in a dynamic startup environment, which is crucial for this role.
✨Communicate Effectively
Practice explaining complex technical concepts in simple terms. Effective communication is key, especially when collaborating with researchers and developers. Make sure to convey your ideas clearly during the interview.
✨Highlight Your Autodidactic Nature
Discuss any self-directed learning you've undertaken, particularly in areas related to generative AI or machine learning. This will demonstrate your proactive attitude and commitment to continuous learning, which aligns with the company's values.
