Staff / Principal AI Researcher About the company A deep-tech startup building ultra energy-efficient computing infrastructure for new-generation AI inference. Our brain-inspired chip architecture is purpose-built for dynamically sparse and event-driven algorithms, delivering an order of magnitude better energy efficiency than today's GPU-based systems. Our hardware is already deployed at leading research institutions across Europe and the US, and we are scaling rapidly as the industry wakes up to the energy bottleneck that GenAI is creating.

We are looking for talented and passionate people with a real appetite for problem solving to help shape the future of AI hardware.

About the role As a Staff/Principal AI Researcher, you will lead the design and development of advanced AI algorithms tailored for our sparse, brain-inspired computing systems. This is a senior, high-autonomy role sitting at the intersection of frontier AI research and novel hardware, with direct influence over both the technical roadmap and how our algorithms reach customers in production.

You will lead technically, mentor other researchers, and work closely with our compiler, hardware, and systems teams to make sure our models actually ship and scale on real silicon.

What you'll be doing
  • Leading the design, development, and optimization of advanced AI algorithms tailored for sparse hardware and brain-inspired computing systems
  • Architecting and implementing efficient machine learning and deep learning models, with a focus on scalability, performance, and hardware-awareness
  • Driving innovation in algorithmic approaches for sparse and event-driven computing paradigms, especially but not limited to Transformer-based architectures
  • Mentoring and managing a team of AI engineers and researchers, fostering technical excellence and professional growth
  • Developing robust, scalable, and maintainable algorithmic frameworks that integrate cleanly with the wider software and hardware ecosystem
  • Defining and implementing benchmarking methodologies to evaluate model accuracy, efficiency, latency, and energy consumption
  • Collaborating with compiler, hardware, and systems teams to ensure seamless integration and co-optimization of algorithms and execution pipelines
  • Contributing to technical documentation, research publications, and demonstrators that showcase the team's capabilities
What we're looking for
  • Proven experience leading cross-functional technical teams in AI/ML development or applied research
  • Deep expertise in machine learning and deep learning algorithms, including model design, training, and optimization
  • 5 years of relevant industry experience developing production-grade AI solutions
  • Expert-level proficiency with ML frameworks such as PyTorch or TensorFlow, and familiarity with modern model deployment workflows
  • Hands-on experience optimizing models for hardware acceleration (CPU, GPU, or specialized accelerators)
  • Strong analytical and problem-solving skills with a track record of tackling genuinely hard algorithmic challenges
  • BSc or MSc in Computer Science, Artificial Intelligence, Applied Mathematics, or a related field
Nice to have
  • PhD or Dr.-Ing. in a computationally intensive discipline
  • Hands-on experience with DevOps tools and CI/CD pipelines
  • Familiarity with MAMBA or other state-space model architectures
  • Hands-on experience with model compression, quantization, or pruning
  • Background in computer architecture
  • Contributions to open-source projects or publications at leading AI venues
  • Familiarity with multi-chip computing concepts and techniques
What we offer A highly competitive salary, relocation support, and a flexible, inclusive work environment. We are an equal opportunity employer and welcome people of different backgrounds, nationalities, and experiences.