Full-Time

Director of Product

Posted on 2/12/2026

Innatera Nanosystems

Innatera Nanosystems

51-200 employees

In vitro mucus model for antibiotics

No salary listed

Remote in UK + 2 more

More locations: Remote in Germany | Remote in Ireland

Hybrid

Hybrid role; office days required: 3 days per week.

Category
Product (1)
Required Skills
REST APIs
Requirements
  • 10+ years of product management experience in semiconductors, AI chips, embedded compute, or complex HW/SW systems
  • Direct experience with embedded AI, edge AI, ML/DSP applications, or sensor-based AI workloads (e.g., radar, audio, gesture, industrial sensing)
  • Strong background in microcontrollers, SoCs, low-power chip design, or neuromorphic/accelerator architectures
  • Hands-on experience with software ecosystems (SDKs, APIs, developer tools, toolchains) and how software maps onto constrained hardware
  • Proven track record in hardware–software productisation cycles, ideally in automotive, wearables, IoT, industrial sensing, or other high-volume embedded markets
  • End-to-end lifecycle ownership, including defining requirements, shaping architectures with engineering, enabling developers, and supporting GTM
  • Ability to translate architecture-level innovation into PRDs, requirements, and market-ready value propositions
  • Strong understanding of go-to-market strategy: customer value framing, prioritisation, segmentation, and feedback integration
  • Confident in interfacing with chip architects, research teams, firmware and SDK engineers, and customer-facing teams
  • Excellent communication and decision-making skills; able to synthesise complexity and drive alignment
  • Strong prioritisation instincts and problem-solving abilities in ambiguous, resource-constrained environments
  • Ability to extract inputs from multiple stakeholders and convert them into clear product direction
Responsibilities
  • Own and evolve the product roadmap for Innatera’s neuromorphic AI chip platforms
  • Define product vision and translate complex innovation into a focused, executable product scope
  • Align long-term product direction with research, neuromorphic architecture, silicon development, SDK, and applications
  • Gather and synthesise input from customers, partners, and sales/FAE to validate problems and define priorities
  • Drive strategic product definition based on application needs, developer workflows, and embedded-AI market signals
  • Define and manage the complete product lifecycle, from early concept validation through engineering development and into GTM
  • Evaluate and prioritise opportunities using business cases, technical trade-offs, and cross-functional alignment
  • Build structured feedback loops that inform iteration, competitive positioning, and long-term roadmap planning
  • Operate across Innatera's tech stack and teams
  • Shape value propositions, launch plans, messaging, and early GTM alignment
  • Support competitive analysis and differentiation strategy
  • Bring clarity and structure to complex product discussions in a fast-paced, ambiguous environment
Desired Qualifications
  • Exposure to neuromorphic computing, event-driven processing, or on-chip learning
  • Experience in roadmap selling, customer engagements, and early-stage validation loops
  • Familiarity with Jira, Confluence, system engineering tools, or requirements traceability platforms

Innatera Nanosystems develops a human mucus model to replicate different mucus conditions, both normal and diseased, for microbiology research. Its product provides a 3D substrate that hosts bacteria, allowing the creation of infection-like environments in vitro. This enables high-throughput and reproducible testing of antibiotics and other bacteria-modulating drugs. Unlike traditional flat media, its mucus-based model aims to better mimic the human body so drug discovery can be more accurate and efficient. The company’s goal is to transform microbiology by offering realistic, scalable mucus environments that improve the discovery and testing of antibiotics.

Company Size

51-200

Company Stage

Series A

Total Funding

$29M

Headquarters

Rijswijk, Netherlands

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • Joya Design integrates Pulsar into EdgeCore module debuting at AWE Shanghai 2026.
  • Byte Lab partnership accelerates Pulsar production for rail maintenance by 2026.
  • Socionext collaboration achieves 99% accurate presence detection at Embedded World 2026.

What critics are saying

  • Intel Loihi 2 captures industrial IoT contracts with 1M synapses by Q4 2026.
  • SynSense DYNAP-CNV erodes Pulsar share in wearables within 12 months.
  • Arm NVLP IP convinces Joya and Byte Lab to adopt hybrids over Pulsar by 2027.

What makes Innatera Nanosystems unique

  • Innatera's Pulsar delivers ultra-low-power SNN processing mimicking brain sensory mechanisms.
  • Synfire unifies neuromorphic ecosystem with open SNN model registry and hardware metadata.
  • Pulsar enables sub-milliwatt real-time inference on audio, motion, and radar data.

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Benefits

Pension plan

Remote Work Options

Flexible Work Hours

Unlimited Paid Time Off

Holiday scheme

Office perks like fresh fruit, snacks, and an on-site gym

Compensation for commuting to the office

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

2%

2 year growth

2%
BISinfotech
Mar 26th, 2026
Innatera launches Synfire to unify the neuromorphic ecosystem and accelerate real-world Edge AI deployment.

Innatera launches Synfire to unify the neuromorphic ecosystem and accelerate real-world Edge AI deployment. 2 minutes read Innatera, a leader in neuromorphic computing for the sensor edge announced Synfire, an open, community-driven platform designed to unify and accelerate the neuromorphic ecosystem. The platform is open for registration and will be fully available in late April. Introduced at Edge AI San Diego 2026, Synfire addresses one of the most critical barriers to scaling neuromorphic AI: fragmentation across tools, models, and deployment pipelines. While neuromorphic hardware capabilities have rapidly matured, the path from research to real-world deployment still faces challenges due to a lack of interoperability, reproducibility, and standardized model exchange. Synfire directly tackles this challenge by providing a centralized, open repository for neuromorphic models and full processing pipelines. This enables developers to publish, discover, and deploy spiking neural network (SNN) solutions with significantly reduced friction. "Progress for neuromorphic networks follows a clear path. First, we make them usable by building the infrastructure, tools, and shared foundations that allow people to work with them. Then, we make them useful, enabling them to solve real problems, adapt to real environments, and deliver real impact," says Steve Furber, Professor Emeritus of Computer Engineering at the University of Manchester. "Creating a community-driven platform like Synfire, accelerates this transition by offering developers the opportunity to lead innovation in this space." Unlike general-purpose AI platforms, Synfire is purpose-built for neuromorphic computing. It supports the unique requirements of temporal, event-driven models and enables hardware-aware discovery, reproducibility metadata, and full pipeline packaging - from preprocessing and encoding to inference and actuation. "Synfire is how neuromorphic computing gets out of the lab. Current AI hardware was not built for real-world intelligence. Neuromorphic systems are, but only if models, benchmarks, and hardware can speak the same language," notes Dr. Jens Egholm, Lead Author for Neuromorphic Intermediate Representation and Neuromorphic Computing Researcher. "The Neuromorphic Intermediate Representation (NIR) provided that shared language. Synfire builds the commons on top of it. Upload once, run anywhere, reproduce everything, and build on each other's work to go further than before." A Platform Designed for Real Deployment Synfire introduces a new foundation for the neuromorphic community through: * Open model registry for publishing and discovering SNN-based solutions * Hardware-aware metadata to match models with validated execution targets * Web platform, CLI, and SDK integration for seamless developer workflows * Extensible architecture aligned with evolving standards such as NIR A Community-Led Effort to Drive Convergence Synfire is designed as a vendor-neutral open infrastructure, co-steered with broader industry and research communities. "We have made incredible progress in neuromorphic hardware and model design, but the surrounding ecosystem is still fragmented. There is no consistent way to capture how a model was built, how it should run, or where it has been validated," adds Petruț Antoniu Bogdan, Neuromorphic Architect at Innatera. "That makes reuse difficult and slows down real deployment. Synfire introduces structure to fill these gaps by standardizing how models are shared, while remaining flexible enough to evolve with the field. While perfecting the tools is a key milestone, our true goal is to build a coherent ecosystem that can efficiently build on top of published work and deploy to a variety of neuromorphic devices with minimal manual work, all the while maintaining the original model performance." Moving from Fragmentation to Scale Synfire is a fundamental shift in how neuromorphic systems are built, shared, and deployed, unlocking faster innovation across industries, including smart sensing, industrial automation, healthcare, and consumer devices.

EEJournal
Mar 25th, 2026
Joya Design takes neuromorphic chip from design to device with first innatera-powered consumer audio product at AWE china.

Joya Design takes neuromorphic chip from design to device with first innatera-powered consumer audio product at AWE china. Following the collaboration, Joya Design rapidly integrates Innatera's Pulsar chip into a new ready-to-deploy AI module Innatera, a leader in brain-like computing for ultra-low-power edge AI, and Joya Design, a national industrial design center, today announced that Joya Design has successfully developed its first Pulsar-powered AI module (Joya EdgeCore(R), marking a significant step forward in the real-world deployment of neuromorphic technologies. The new module will make its debut at AWE Shanghai 2026 (Appliance & Electronics World Expo), demonstrating how neuromorphic processing is moving beyond evaluation and into real product design. Engineered for portable smart products such as cribs, strollers, and other connected lifestyle devices, the module introduces advanced on-device audio intelligence built around Innatera's brain-inspired architecture. "With Innatera's Pulsar chip and development ecosystem, our teams moved seamlessly from concept to product," says Liao Ke, Founder of Joya Design. "The new module is designed to simplify integration for OEMs looking to add always-on intelligence without redesigning their entire system architecture. We see strong potential across baby monitoring, smart home accessories, and next-generation portable devices where responsiveness, privacy, and power efficiency must coexist." A new level of integration for neuromorphic audio intelligence for physical AI The Joya EdgeCore(R) module advances commercialization by turning neuromorphic innovation into a ready-to-integrate platform powered by Innatera's Pulsar microcontroller. It enables on-device contextual audio intelligence, with a debut baby-cry classification application showcasing nuanced awareness in compact, battery-powered products. By combining Joya's productization expertise with Innatera's event-driven architecture, the module gives OEMs a streamlined path to integrate intelligent sensing into next-generation consumer devices. "We introduced Pulsar with the vision of enabling a smarter and safer world with our ambient intelligence. This vision has turned into reality through Joya Design's innovative devices that impact our daily lives positively," says Sumeet Kumar, CEO of Innatera. "This module shows how brain-inspired architectures can transition rapidly from silicon innovation to shipping-ready platforms. Working with Joya Design allows us to bring neuromorphic AI into tangible products faster, delivering on our promise for a better, smarter future." Enabling OEMs to build the next generation of intelligent consumer devices Joya Design's Pulsar-based module reflects a shift toward integrated AI building blocks that help OEMs accelerate development while adding advanced on-device intelligence without increasing system complexity. OEMs and ODMs interested in deploying neuromorphic AI in upcoming products are invited to connect with Innatera to explore how Pulsar-powered solutions can enable faster design cycles and differentiated consumer experiences. About Innatera Innatera enables the world's sensor data to be processed as soon as it is captured, directly at the source. Incorporated in 2018 as a spin-off from the Delft University of Technology, it develops a line of neuromorphic processors that mimic the mechanisms the brain uses for processing sensory data. Using a radically new computing architecture that is 10,000x more efficient than conventional technologies, its chips enable breakthrough physical AI capabilities even in devices powered by small batteries. Innatera's technology makes intelligence pervasive for a smarter, safer, and cleaner world. About Joya Design Rooted in Xiamen, a scenic coastal city, Joya holds the "National Industrial Design Center" certification and boasts over 20 years of experience as a seasoned smart product innovation partner, focusing on design-led innovation. With global service reach, the company engages in domestic benchmark projects while empowering global clients, and has built broader experience with multi-national innovation teams to drive cross-organizational collaborative innovation. Centered on product design, Joya offers a full-link closed-loop service from "creative germination" to "product launch" connecting key links like mechanical engineering and hardware R&D to support integrated product innovation. DELFT, NETHERLANDS - December 10, 2025 - Innatera, the leader in neuromorphic processors for ultra-low-power intelligence at the sensor edge, will showcase its award-winning Pulsar neuromorphic microcontroller at CES 2026, 6-9 January in Las Vegas at the Venetian Tower, Hospitality, Venetian Palazzo Hospitality Suites. One year after introducing its T1 prototype... DELFT, NETHERLANDS - March 3, 2026 - Innatera, the leader in neuromorphic processors for the sensor edge, today announced Byte Lab as a new solution partner, strengthening its ecosystem around deployable, production-ready edge AI. The partnership brings together Innatera's neuromorphic Pulsar platform with Byte Lab's vertically integrated electronics design and... Key Highlights Synopsys helps Innatera design chips that enable real-time, energy-efficient AI processing at the edge, catalyzing the development of next-generation applications in physical AI Synopsys PathFinder-SC(TM) signoff solution delivers improved precision for more accurate layout-level outcomes, expertly manages design requirements, and enables early-phase analysis Synopsys Totem(TM) power integrity platform...

New Electronics
Mar 6th, 2026
Innatera partners with Byte Lab to accelerate neuromorphic edge AI deployment

Innatera partners with Byte Lab to accelerate neuromorphic edge AI deployment. Innatera has added Byte Lab as a new solutions partner in a move aimed at speeding up the development and industrialisation of neuromorphic edge AI systems. The collaboration pairs Innatera's Pulsar neuromorphic processing platform with Byte Lab's experience in electronics design and manufacturing to help customers move more quickly from prototypes to production-ready devices. The companies say the partnership comes at a time of rising interest in deploying AI directly at the sensor edge, reducing system complexity while enabling real-time intelligence in power-constrained devices. "Neuromorphic computing is disrupting the intelligent devices market with an impact that will be felt throughout the next decade. We are seeing industry players in a race to implement AI closer to the sensors on their devices," said Vladimir Bachler, Innovation Manager at Byte Lab. "At this critical inflection point, we're excited to partner with Innatera and to help bring the innovative Pulsar neuromorphic chip into real-world products, delivering production-ready systems so customers can adopt a new class of edge AI without increasing system complexity." Byte Lab brings long-standing expertise in IoT and battery-powered wireless devices, with the company reporting that the majority of its designs progress to industrialisation. The partnership aims to support deployable edge AI solutions across areas such as predictive maintenance in rail applications - using inertial, acoustic and temperature sensing - energy-harvesting systems, low-power audio event detection and body-worn monitoring technologies. Sumeet Kumar, CEO of Innatera, said Byte Lab's record in bringing advanced sensing technologies to market made it a strong fit. "Together, we can drive the adoption of neuromorphic computing into complete systems, from sensor and firmware to manufacturing and deployment," he said. At the centre of the collaboration is Innatera's Pulsar microcontroller, built around a Spiking Neural Network engine and heterogeneous compute architecture. The chip is designed for ultra-low-power, real-time inference on audio, motion, radar and biosignal data, enabling continuous on-device sensing without sending information to the cloud. Innatera said that integrating Byte Lab as a solutions partner brings Pulsar closer to enabling scalable neuromorphic AI across industrial, infrastructure and safety-critical applications.

EEJournal
Mar 3rd, 2026
Innatera and Byte Lab Announce Strategic Solution Partnership to Accelerate Deployable Neuromorphic Edge AI Systems

Innatera and Byte Lab announce strategic solution partnership to accelerate deployable neuromorphic Edge AI systems. Combining brain-like processing with production-ready electronics design to accelerate real-world deployments DELFT, NETHERLANDS - March 3, 2026 - Innatera, the leader in neuromorphic processors for the sensor edge, today announced Byte Lab as a new solution partner, strengthening its ecosystem around deployable, production-ready edge AI. The partnership brings together Innatera's neuromorphic Pulsar platform with Byte Lab's vertically integrated electronics design and manufacturing capabilities, enabling faster transition from proof-of-concept to industrialized products. "Neuromorphic computing is disrupting the intelligent devices market with an impact that will be felt throughout the next decade. We are seeing industry players in a race to implement AI closer to the sensors on their devices," says Vladimir Bachler, Innovation Manager at Byte Lab. "At this critical inflection point, we're excited to partner with Innatera and to help bring the innovative Pulsar neuromorphic chip into real-world products, delivering production-ready systems so customers can adopt a new class of edge AI without increasing system complexity." As a solutions partner, Byte Lab brings production-proven expertise in IoT and battery-powered wireless devices, with 95% of designs reaching industrialization and active programs for global brands shipping at scale. Together, the companies will target deployable edge AI systems for rail predictive maintenance using IMU, acoustic, and temperature sensing and energy harvesting, low-power audio event detection, body-worn monitoring solutions, and more supported by Byte Lab's ability to run fast pilots in-house and scale efficiently into production. "What makes Byte Lab a strong partner is their track record of turning advanced sensing concepts into shipping products," says Sumeet Kumar, CEO of Innatera. "Together, we can drive the adoption of neuromorphic computing into complete systems, from sensor and firmware to manufacturing and deployment." At the center of the collaboration is Pulsar, Innatera's neuromorphic microcontroller designed for ultra-low-power, real-time inference at the sensor edge. Built around a Spiking Neural Network engine and a heterogeneous compute architecture, Pulsar enables always-on sensing for audio, motion, radar, and biosignals while keeping data on-device. With Byte Lab as a solution partner, Pulsar moves closer to its goal of enabling practical, scalable edge AI products across industrial, infrastructure, and safety-critical applications. Interested in becoming an Innatera solution partner? Get in touch to explore how neuromorphic edge AI can accelerate your next product. About Innatera Innatera enables the world's sensor data to be processed as soon as it is captured, directly at the source. Incorporated in 2018 as a spin-off from the Delft University of Technology, it develops a line of neuromorphic processors that mimic the mechanisms the brain uses for processing sensory data. Using a radically new computing architecture that is massively more efficient than conventional technologies, its chips enable breakthrough physical AI capabilities even in devices powered by small batteries. Innatera's technology makes intelligence pervasive for a smarter, safer, and cleaner world. Innatera is backed by leading European deep-tech investors and aims to bring intelligence to a billion devices by 2030. About Byte Lab Byte Lab is a vertically integrated engineering company founded in 2011 and headquartered in Zagreb, Croatia. For over 15 years, the company has been developing embedded systems and delivering end-to-end electronic product development, from hardware and firmware design to Edge AI, certification, prototyping and in-house manufacturing. With 400+ completed projects across multiple industries, they help companies bring complex ideas to market faster through parallel development and full product lifecycle support.

AspenCore Media
Feb 23rd, 2026
Socionext, Innatera Develop Presence Detection Solution

Socionext, Innatera develop presence detection solution. This human-presence detection system combines 60-GHz FMCW radar sensing and neuromorphic edge AI. Socionext and Innatera have jointly developed a human-presence detection system that integrates 60-GHz FMCW radar sensing with neuromorphic edge AI, providing consistent, reliable detection while significantly reducing power consumption. This technology will be demonstrated live at Embedded World 2026 in Nuremberg (Booth 4A-628). Partner Content 02.23.2026 By: Sandeep Krishnegowda, VP and GM, Memories Product Line, Infineon Technologies and Bobby John, Director, Product Marketing, Infineon Technologies Partner Content 02.18.2026 By: David Haynes, vice president of Specialty Technologies, Lam Research Partner Content 02.16.2026 By: Rafael Taubinger, Product Marketing Manager, IAR The system combines Socionext's compact 60-GHz FMCW radar, which acquires detailed three-dimensional environmental data regardless of lighting or weather conditions, with Innatera's ultra-low-power spiking neural processor that processes radar signals directly at the sensor edge. The neuromorphic processor is capable of differentiating human motion from non-human movement, including detecting stationary people, achieving detection accuracy exceeding 99% while consuming less than a milliwatt of power. This capability allows devices, such as cameras and radios, to remain in low-power sleep modes until actual human presence is confirmed, thereby extending battery life by a factor of three to six. At Embedded World 2026, visitors will have the opportunity to observe how this combined solution: * Accurately detects human presence, including stationary individuals * Filters out irrelevant motion caused by animals, plants, or environmental noise * Functions entirely on-device without reliance on cloud processing * Supports compact, battery-efficient designs suitable for consumer, industrial, and automotive applications Potential use cases include smart doorbells and cameras, occupancy sensing in smart buildings, automotive in-cabin monitoring, elderly care, and industrial safety systems, as well as gesture-based user interfaces.

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