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Dustphotonics is a developing cutting-edge technology in Silicon Photonics which is revolutionizing connectivity and communication in data centers. Silicon photonics is becoming a standard technology used for high performance systems, solving challenges of performance, integration, power and cost. This technology is growing rapidly also in other markets such as Healthcare, LIDARs and other sensors. At DustPhotonics, we are looking to solve the difficult problems, in a smart and simple way, by thinking out of the box, leveraging the knowledge and know-how of the team members and work as team to create Magic. Our Company culture is characterized by accountability for our ethics, for being fair to every employee, customer, supplier and partner. We believe we must work hard and have fun on the way to success. We are looking for Junior Device and Test Engineer We welcome you to join our team - Apply for your next career opportunity with us!





Responsibilities:

* Implement electro-optical test plans for products under development or qualification.
* Support testing and characterization stations in the RND labs.
* Develop and improve methods for testing and characterization of Silicon photonics devices.
* Analyze Test data and DOE results to provide vital insight into the development of innovative silicon photonics products.
* Support cross-functional failure investigations to identify root cause and corrective and preventative action.

We are seeking a skilled Communication System Engineer to join our team.
The role involves planning, characterizing and operating multidisciplinary communication systems.
Designing and optimizing RF chains.
Additionally, the role includes conducting experiments, providing immediate operational support and maintaining, upgrading and supporting existing systems.

Lead end-to-end project of customized armored vehicles, from conceptualization to final delivery.
Plan, execute, and deliver project in alignment with client requirements and organizational standards.
Manage static and dynamic vehicle trials, ensuring performance and safety testing.
Apply engineering expertise to resolve technical issues and improve reliability.
collaborate with internal teams, external partners and clients.

We are looking for you to join our emulation team focusing on the creation, deployment, and support of advanced emulation environments. In this highly visible role, you will be at the center of a chip design effort collaborating with all disciplines, with a critical impact on getting functional products to millions of customers quickly.

As a senior emulation engineer, you will have the responsibilities as follows: Work closely with emulation, architecture and verification teams to create and enhance emulation environments. Work with the leading emulation vendors to debug issues and deploy new capabilities. Develop new emulation workloads and platforms to enhance user productivity . Develop high performance emulation models and transactors in system Verilog and C/C++ . Support multiple emulation environments using the latest emulation techniques Root cause failing SoC/Processor tests and emulator environment issues.

Play a part in shaping the future of human-computer interaction. As an MLOps Engineer, you will be the backbone of the machine learning infrastructure that powers our speech, audio, and conversational AI teams - ensuring their models are trained on the best possible data.
You will bridge the gap between research, data science, and engineering, owning the full ML lifecycle from large-scale data pipelines and distributed GPU training through to low-latency, high-fidelity inference and optimization. You'll partner closely with Audio ML Engineers, Speech ML Engineers, and ML Data Scientists to remove friction across their workflows and accelerate the path from research to product.

The MLOps Engineer will drive end-to-end quality and operational excellence across data ingestion, model training, deployment pipelines, and MLOps tooling for our speech and audio ML platforms. This hire will build, deploy, and optimize production-grade systems with a strong emphasis on scalable, GPU-accelerated infrastructure. You will own the training infrastructure that powers distributed and self-supervised model training on HPC and Slurm-managed clusters, as well as the inference pipelines that bring low-latency, high-fidelity audio and speech models to production. You will establish standard methodologies for model integration, deployment, monitoring, and reproducibility using CI/CD principles.

Responsibilities
Design, build, and operate large-scale data pipelines for proprietary audio and speech datasets - supporting curation, quality monitoring, and validation at scale alongside our ML Data Science team.
Partner closely with Audio ML Engineers, Speech ML Engineers, ML Data Scientists, and product teams to define metrics, gather requirements, and bring new capabilities to life.
Build and operate distributed GPU training workflows, including job scheduling and resource management on Slurm-managed HPC clusters, for both supervised and self-supervised methods.
Optimize model inference for low latency and high-fidelity streaming across serving environments, including optimization for Apple silicon.
Design and maintain automated pipelines for model training, evaluation, versioning, and deployment, with special attention to speech, audio, and signal-processing workflows.
Identify and resolve bottlenecks in ML and data workflows, improving system reliability, latency, and throughput at scale.

We are seeking a highly skilled and motivated real-time embedded Engineer to join our firmware team.

In this role, you will be responsible for implementing cutting-edge technology for our next-generation products. You will be a key contributor to the entire product development lifecycle, from concept to deployment, ensuring that our products are intelligent, efficient, and provide a seamless user experience.

Responsibilities
Implement, deploy and optimize real-time state machines, operate various sensors streams (e.g., audio, vision, motion, etc.) on resource-constrained embedded platforms.
Design, develop, and maintain real-time firmware for embedded systems.
Optimize code for performance, memory usage, and power consumption.
Develop and execute comprehensive testing strategies for embedded systems.
Develop and maintain firmware in C/C++ for embedded systems.
Work with cross-functional teams including software, hardware, and systems engineers.
Participate in the entire software development lifecycle, including requirements gathering, design, implementation, testing, and deployment.
Stay up-to-date with the latest advancements in embedded systems.

we are looking for a Senior Board Design Engineer.
As a Hardware Board Design Engineer , you will own the electrical design of complex Big Data Analytics systems. You will drive the development of next-generation Analytics Processing Unit (APU) accelerator boards, ensuring they meet signal integrity, power delivery, and thermal requirements. You will work cross-functionally with Silicon (ASIC), Signal Integrity, Power, Mechanical, and Manufacturing teams to bring products from concept to mass production.
Responsibilities:
Lead the schematic capture and component selection for high-density, multi-layer Printed Circuit Boards (20+ layers) incorporating high-power ASICs (APUs) and high-speed memory (LPDDR5/DDR5).
Design and validate high-speed interfaces including Peripheral Component Interconnect Express (PCIe) Gen 5, DDR5 and LPDDR5.
Collaborate and manage Signal Integrity (SI) engineers to define routing constraints and stack-up.
Work closely with PCB layout designers to guide placement and routing of critical signals and power planes.
Lead the lab bring-up of first silicon/first board. Debug complex hardware issues. Root-cause failures to component, assembly, or design issues

We are looking for a highly skilled Senior Audio - Voice Processing & Environmental Test Engineer to join our team in Herzliya.

Responsibilities
Test and validate the performance and tuning of core voice processing blocks
Execute validation under diverse acoustic conditions, speaker configurations, and signal scenarios.
Collaborate with algorithm teams to provide data-driven feedback for tuning and optimization.
Conduct objective voice quality assessments using standardized metrics, including POLQA (ITU-T P.863) and PESQ (ITU-T P.862).
Organize and manage subjective "golden ear" listening panels to assess voice naturalness, intelligibility, and overall quality.
Define evaluation criteria and scoring methodologies aligned with industry standards and internal quality benchmarks.
Design and execute WER-based testing for scenarios involving voice transcription and speech recognition.
Correlate WER results with upstream audio processing quality to identify degradation sources.
Conduct testing in specialized laboratories that replicate real-world acoustic scenarios, including: Moving vehicles ,Noisy public environments - cafés, restaurants, crowded spaces Windy outdoor settings and Combined environmental stressors.
Measure and track Time to First Word (TTFW) and round-trip audio latency.
Establish performance baselines and monitoring frameworks for continuous tracking across firmware and software iterations.
Design and maintain automated test suites to detect audio artifacts - including glitches, pops, clicks, distortions, and dropouts.
Build regression frameworks that validate audio quality across new firmware and software updates.

we are looking for a Lead SoC Architect.
Responsibilities:
Definition and detailed hardware specifications of subsystems in the SoC
Breaking down the sub-system architecture into microarchitectural blocks with the related firmware, and SW components.
Understanding the system in which the SoC is integrated to and designing the SoC to perfectly fit into the datacenter system.