This role is an integral part of the R&D team at GEMESYS working on applications of our brain-like chip. You are reporting directly to the CSO, and you will be working closely with our founders. You will be the expert in low power and edge AI applications joining our R&D team. Every day you will be working closely with excellent researchers and engineers to develop new AI solutions for various industries such as healthcare, space, energy, and robotics.
Your role
You are responsible for the design, development, and implementation of advanced machine learning algorithms and models for low-power and edge devices. Working closely with the R&D team you will establish novel business cases related to the AI applications executable on our hardware.
Research and develop new AI models and algorithms for low-power and edge devices considering the physical limitations of the in-house AI chip.
Design and optimize AI models for low-power and memory-constrained environments.
Work with hardware engineers to design custom AI solutions adjusted for the in-house AI chip.
Collaborate with software and hardware engineers to implement and test AI models on low-power and edge devices.
Evaluate and compare the performance of different AI models in low-power and edge environments.
Work with data scientists and domain experts to develop AI solutions for various industries.
Create technical reports and present research findings to the team and external stakeholders.
Stay up to date with industry trends, technologies, and best practices related to AI technology.
Technical ownership for all AI-related topics in the company.
Prepare and participate in reviews and presentations of reports related to AI applications and solutions with the in-house AI platform.
Work in interdisciplinary teams closely with our business experts to establish novel AI business cases.
What you bring
Essential:
Master’s degree in computer science, electrical engineering, or related field.
Deep understanding of machine learning algorithms and models for low-power and edge devices.
Experience in designing and implementing custom AI solutions for embedded systems.
High proficiency in the C++, Matlab, and/or Python programming language.
Experience with machine learning frameworks such as Tensorflow, PyTorch, or Keras.
Knowledge of software development best practices such as Agile methodologies, version control (Git), code reviews, and test automation.
Adaptability and willingness to learn new approaches, solutions, and skills.
Self-motivated, creative, hard-working individual with an entrepreneurial mindset.
Analytical mindset with the ability to problem solve, work as a team and drive solutions.
Ability to report and present in English.
Flexibility and willingness to work in an agile deep-tech start-up.
Preferred:
Experience in AI research and development.
Experience in CUDA or OpenCL programming.
Our offer
We offer challenges every day, and organic growth opportunities as the company scales. Flextime and remote working are part of our culture. Healthy snacks and free drinks are part of our perks in our creative HQ.
We are a deep-tech startup that is set up to build a legacy. Our mission is to design a chip that works like the human brain to overcome computing bottlenecks and provide AI with the hardware to fulfill its destiny: Shaping a better future for everyone.
Based out of Bochum, Germany, we are setting out to challenge the status quo. We have received €3M+ in funding and are fully backed by the German Government, the Federal Ministry for Economics and Climate Action.
We are a group of pioneering minds who love blank canvases. We work within an agile startup environment where you can be hands-on and contribute to the success of next-generation AI hardware.
We execute and work at a high pace. We fail fast and learn faster. Sounds like you? Come join us.
At Gemesys we believe in equal opportunity. We welcome applications from all qualified individuals regardless of ethnicity, sex, disability, religion/belief, sexual orientation or age.
