Staff Embedded AI Applications Engineer, Innatera
Ultra low power intelligence for the sensor edge
Open for applications
Ultra low power intelligence for the sensor edge
21-100 employees
Open for applications
21-100 employees
Company mission
To make a billion sensors intelligent by 2030.
Role
Who you are
- PhD or Master's in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field
- 5+ years of experience in developing embedded AI applications, TinyMl or edge AI development
- Proficiency in Python, C or C++ for real-time, resource-constrained systems
- Familiarity with frameworks like TensorFlow Lite, PyTorch, ONNX, or custom TinyML stacks
- Experience in developing software frameworks for energy-efficient AI applications
- Excellent problem-solving and communication skills, with the ability to explain complex ideas clearly
- Ability to articulate intricate neuromorphic concepts to a diverse range of stakeholders effectively
- Curiosity, self-direction, and a passion for building efficient, elegant solutions
Desirable
- Understanding of neuromorphic principles and/or spiking neural networks (SNNs) is a strong plus
- Background in robotics, autonomous systems, or sensor fusion applications at the edge
- Hands-on experience with hardware/software co-design and optimization workflows
- Contributions to academic research, patents, or open-source neuromorphic tools
- Familiarity with emerging standards and ethical considerations in neuromorphic AI
What the job involves
- We are looking for a highly skilled Staff Embedded AI Applications Engineer to drive the development and deployment of neuromorphic AI solutions for sensor-driven applications. This role involves collaborating with cross-functional teams and customers to deliver innovative, energy-efficient AI applications that address real-world challenges
- Designing, implementing, and maintaining robust AI/ML algorithms using Innatera’s SDK, tailored for embedded systems and TinyML applications
- Analyzing and optimizing ML models for latency, memory usage, power consumption, and resource utilization using our spiking neural network (SNN) SoC
- Developing and integrating end-to-end software pipelines and applications on MCUs or edge devices, collaborating with hardware, compiler, and customer teams
- Contributing to the advancement of neuromorphic computing by developing new methodologies and participating in the creation of intellectual property, including patents and research publications
- Guiding and mentoring junior engineers, fostering a culture of continuous learning and innovation within the team
- Providing technical expertise in customer interactions, developing tailored solutions and supporting business development initiatives
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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