GrAI Matter Labs (www.graimatterlabs.ai), a fabless semiconductor company specialized in brain-inspired technology, designs and develops fully programmable ultra-low power neuromorphic HW for sensor analytics and machine learning. The company has offices in Eindhoven (NL), Paris (FR) and San Jose (USA) and has strong relations with top-ranking research groups around the world.

  We are looking for a Solution Architect - AI to join our team in San Jose. You will play a key role, working closely with our customers to help them make the most out of our products. You will provide premium technical support for our GraiFlow Software Development Kit, teach and assist programmers in exploiting the capabilities of our neuromorphic processor to enable highly efficient implementations of end-to-end AI applications on edge devices, such as security cameras, drones, cars, home automation systems, etc. The applications range from heart-rate monitoring to video analytics and autonomous driving.

  You will work closely with our sales staff, architects and SDK developers, bringing in the customer feedback and requirements that will help us define and build a better product. You will ensure that we drive successful customer engagements by providing excellent support to our customers.

QUALIFICATIONS, EXPERIENCE AND SKILLS

  • M.Sc in Computer Science, Electrical Engineering or related field;
  • 5+ years of related experience
  • Experience in programming DSP architectures;
  • Experience with software development tools for embedded/DSP systems;
  • Experience with Python programming;
  • Experience with Machine learning and scikit-learn;
  • Experience with deep learning and frameworks like tensorFlow;
  • Proven track record in quickly learning new technologies;
  • Excellent communication skills in English (both speaking and writing);
  • Team player with excellent interpersonal skills;
  • Willing to travel.

Nice to have

  • Working knowledge of artificial intelligence and/or neuromorphic computing;
  • Experience with common requirements management practices.