AI Applications Lead, Innatera
Ultra low power intelligence for the sensor edge
Job no longer available
Ultra low power intelligence for the sensor edge
21-100 employees
Job no longer available
21-100 employees
Company mission
To make a billion sensors intelligent by 2030.
Role
Who you are
- We are looking for an experienced AI executive with a track record of applying AI/ML solutions to real-world applications, with strong customer-centric mindset, a solid background in innovation, and passion for engineering to lead this exciting and challenging development!
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- 8+ years of experience in AI/ML development, with a focus on deploying AI in real-world applications
- Strong background in deep learning frameworks such as TensorFlow, PyTorch, ONNX, or TVM
- Experience with embedded systems, edge AI hardware (e.g., NVIDIA Jetson, Qualcomm AI Engine, ARM NPU, etc.), and AI inference optimization
- Proficiency in model compression techniques (quantization, pruning, distillation) and hardware acceleration (CUDA, OpenCL, TensorRT)
- Understanding of software-hardware co-design principles for AI workloads
- Track record of successfully leading teams and managing complex AI projects from concept to deployment
- Excellent communication and stakeholder management skills
- Experience with real-time AI inference and low-latency optimizations
- Familiarity with Spiking Neural Networks and neuromorphic technology
- Knowledge of edge AI deployment pipelines, including MLOps for embedded systems
What the job involves
- Innatera's AI team is central in applying our innovative processors to real-world applications. The team develops the neural network models that we deliver to customers, as well as the AI/ML methods and algorithms used to build those models
- This is an opportunity to work on groundbreaking AI applications at the edge and collaborate with a highly skilled, innovative, and passionate team
- Defining and executing the AI applications strategy for edge & embedded computing use cases
- Leading a team of engineers in designing and optimizing AI pipelines in the neuromorphic application field
- Working closely with hardware and software teams to co-design AI systems that maximize efficiency on edge platforms
- Actively contributing in defining the company's AI SW stack, ML toolbox and design best practices
- Overseeing the full lifecycle of AI applications, from research and prototyping to deployment and optimization
- Ensuring efficient model compression, quantization, and acceleration techniques to meet edge constraints
- Collaborating with product teams to understand customer needs and tailor AI solutions accordingly
- Driving innovation in Edge AI, staying up to date with the latest advancements in AI frameworks, hardware acceleration, and deployment strategies
- Representing the company at industry conferences, customer meetings, and technical discussions with partners
Our take
Innatera is a company developing ultra-low-power neuromorphic AI chips for sensor technology. Essentially, this means it is trying to instil sensors with a human-like ability to perceive their surroundings, by mimicking the mechanisms that the brain uses for sensory perception.
Sensors powered by Innatera's tech should be able to enact real-time analysis of data to detect and identify embedded patterns. For example, they would be able to distinguish spoken words in audio data. This, of course, represents an impressive development and the next generation of sensors.
Another impressive feat is that Innatera's chips require very little power, which is why they can be employed at the sensor edge. With a myriad of potential applications, it's no surprise the company has raised substantial funding which will be used to accelerate its progress and drive further innovation.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jun 2024
$5m
SERIES A
Mar 2024
$16m
SERIES A
Total funding: $29.7m
Company benefits
- 30 vacation days
- 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 ...)
- An inclusive company culture which embraces communication, diversity and support around holistic and personal development
Company HQ
Vrijenban, Rijswijk, Netherlands
Leadership
Sumeet Kumar
(CEO)Former Project Manager and Research Fellow at the Delft University of Technology. They were also a Lead Researcher at the University for 4 years, and worked as a Processor Tools Engineer for Intel Corporation.
Co-founder and Director of Operations and Silicon Realization at Insilica Semiconductors. Formerly Director of Insilica, and Design Engineering Manager at Cypress Semiconductor Technology.
Amir Zjajo
(Chief Scientific Officer)Spent 11 years as a Lecturer and Senior Researcher at the Delft University of Technology. Was also a Senior Research Scientist at NXP Semiconductors and a Research Scientist at Philips Research Labs.
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