Senior Field Application Engineer

🕒 March 3

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Innatera

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🔧 Hardware

🤝 B2B

Artificial Intelligence • Hardware • B2B

Innatera is a Netherlands-based developer of ultra-low-power neuromorphic processors and supporting software, including the Spiking Neural Processor (Pulsar T1) and the Talamo SDK. The company builds analog-mixed-signal chips that run spiking neural networks (SNNs) to deliver always-on, low-latency pattern recognition and sensor processing for power-constrained and latency-critical edge applications. Innatera targets sensor, IoT and embedded-system customers who need brain-inspired, event-driven cognition close to the sensor.

📋 Description

• 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.

🏖️ 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.