Bridging the gap between the market and our internal teams by actively translating client feedback and usage scenarios into actionable product improvements.
Build deep technical relationships with customer architects and engineering management, serving as their primary technical advisor
Dealing with technical questions/issues from customers, and assisting our customers in accelerating their development of our technology
Training customers (alongside the engineering teams) by organising workshops and training sessions
Help and guide customers through the design process including architecture reviews, schematic reviews, design-in support and training customers on product features.
Partner with Sales to identify opportunities and articulate the value of Innatera technology to secure wins
Collaborating actively with the SDK/EDK, architecture, and Product owner teams
Requirements
At least 7 years of experience in a technical customer-facing role (FAE, System Architect, or similar roles) within the Semiconductor industry
Experience with AI Embedded Applications
Experience working in a global environment, bridging the gap between customer requirements in North America and European/Western HQ engineering teams
Bachelor's degree in engineering, computer science, or a related field
Great coding skills in Python, C/C++
Knowledge of ML/AI Framework(s): TensorFlow, PyTorch
Knowledge of Embedded Development Kit(s), and an AI background
Computer architectural knowledge is a big advantage
Strong analytical and problem-solving skills
Flexibility and outstanding communication & customer service skills.
Tech Stack
Python
PyTorch
Tensorflow
Benefits
A dynamic working environment around a fearless engineering culture,
Ambitious teams with the freedom to innovate,
A Flexible working environment (work from home policy, flexible working hours, advantageous holiday scheme),
An inclusive company culture that embraces communication, diversity, and support around holistic and personal development.