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The Mechanical Engineer works closely with Hardware Engineering, Product Design, Electrical Engineering, and Process Engineering teams, leading design and analysis efforts across the product development cycle.

Responsibilities
Pioneering opto-mechanical designs for precision assemblies, translating ambitious concepts and optical requirements into manufacturable solutions with exacting tolerances.
Owning mechanical integration of optical components, sensors, and PCBs - encompassing fit, alignment, tolerance stack-up, and assembly sequence definition.
Partnering with Manufacturing and Process Engineering from early design stages to ensure concepts are grounded in process capability and scalable to mass production.
Leading FEM analyses across thermal, static, dynamic, and drop-test scenarios for small form factor consumer devices, ensuring structural integrity and durability under real-world conditions.
Conducting failure analysis (FA) to identify root causes and drive corrective design actions to resolution.
Driving end-to-end prototype builds, R&D setups, jigs, and fixtures in close collaboration with Process Engineering.
Defining and executing design verification and validation plans, and translating results into concrete design improvements.
Defining GD&T and collaborating with manufacturing partners to validate producibility, dimensional compliance, and process yield.
Leading design reviews, identifying risks early, and driving cross-functional resolution of complex mechanical challenges.

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 a growing physics team working at the intersection of cutting-edge research and real-world product impact. We are looking for an exceptional Physicist or Electrical Engineer to join us in assessing the feasibility of a groundbreaking, first-of-its-kind technology, one with the potential to reshape the industry.

Define research topics and experimental strategies aligned with system and product requirements.
Design, build, and operate experimental and test setups to measure and characterize system performance.
Collect, analyze, and interpret experimental data, translating insights into technology capabilities and product specifications.
Investigate new methods, theories, and physical phenomena; apply existing knowledge to novel challenges and generate new understanding through rigorous experimentation.
Characterize material and system-level physical limits to inform design feasibility and define system requirements.
Develop and validate simulation models to support experimental and systems work.
Analyze and report results clearly to enable cross-functional teams to make informed design decisions.
Partner with multidisciplinary teams across hardware, software, and systems engineering to drive research from concept to product.

We are seeking a highly skilled and motivated DSP real-time embedded Engineer to join our firmware team. In this role, you will be responsible for implementing cutting-edge digital signal processing algorithms for our next-generation products.

In this role, you will be responsible for implementing cutting-edge digital signal processing algorithms 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 DSP algorithms for various sensor data streams (e.g., audio, vision, motion, etc.) on resource-constrained embedded platforms.
Collaborate with algorithm and software teams to integrate DSP algorithms into the firmware.
Profile and optimize code to meet strict performance, power, and memory requirements.
Develop and maintain firmware in C/C++ for embedded systems.
Participate in the entire software development lifecycle, including requirements gathering, design, implementation, testing, and deployment.
Stay up-to-date with the latest advancements in DSP, and embedded systems.

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

As we scale our portfolio of live automations, were looking for an experienced AI Automation & Agent Engineer to take on a broad and high-impact role. Youll lead new automation projects from ideation to production, own the reliability of existing systems, and serve as the go-to expert helping our employees get the most out of AI tools - especially Claude Code. This is a hands-on, cross-functional position at the center of how we adopt and scale AI internally.
Responsibilities
Lead Automation Projects:
Partner with department leads across sales, support, finance, and HR to identify high-impact AI and automation opportunities.
Design and build LLM-based workflows, integrating APIs, MCP servers, and internal tools.
Develop agent-like automations and internal copilots that augment decision-making and execution.
Own the full lifecycle - from ideation and process design through development, testing, and production launch.
Present project plans, progress updates, and outcomes with measurable impact to stakeholders at all levels.
Build AI Systems & Integrations:
Build robust, maintainable workflows using N8N, Claude Code, and other orchestration tools.
Integrate across systems using REST APIs, webhooks, and external/internal tools.
Design reusable patterns for skills, agents, and workflows that can scale across teams.
Continuously evaluate and adopt new AI tooling, MCP capabilities, and agent frameworks.
Maintain & Improve Live Systems:
Monitor, triage, and resolve issues across all live AI automations, copilots, and agents.
Identify recurring failure patterns and implement systemic improvements to reliability, performance, and cost.
Ship incremental improvements and new capabilities quickly and safely.
Maintain clear documentation for workflows, agents, and system behavior.
Drive AI Adoption, Skills & Governance Across:
Act as the internal expert and first point of contact for employees using Claude Code and AI tools.
Help teams build and scale AI skills - from basic usage to advanced workflows and agent design.
Manage and optimize AI usage and performance across the organization (tokens, costs, reliability, adoption).
Build and evolve an internal AI control tower - providing visibility into usage, performance, governance, and impact.
Run onboarding sessions, workshops, and create practical guides that empower teams to work independently with AI.
Guide teams through MCP integrations, tool configurations, and best practices.
Stay current on Claude Code updates, new MCP capabilities, and emerging AI tooling - and proactively share relevant developments with the team.

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.

We are looking for highly motivated engineers who love the challenges and the opportunity of a small company.
Join us and be a part of a small and dynamic team, which revolutionizes the parallel processor architecture.

We are looking for highly motivated engineers who love the challenges and the opportunity of a small company.
Join us and be a part of a small and dynamic team, which revolutionizes the parallel processor architecture.

Were looking for an experienced SW Team Manager to join our Simulators Team, where you'll lead the design and development of our hardware simulators - functional and performance models that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics.
You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behaviour.
Responsibilities:
Lead & grow a team of experienced engineers
Develop new hardware simulators and continue evolving existing one.
Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
Provide insights that influence chip architecture, compiler optimization, and system-level performance.
Develop tools that drive the chip development cycle.

We are seeking a Site Reliability Engineer (SRE) to join our team responsible for critical infrastructure
Key Responsibilities
Operate and manage the Kubernetes platform (RKE2) platform
Set up and manage CI/CD pipelines using tools like Jenkins Argo CD and others
Implement Infrastructure as Code (IaC) and infrastructure automation
Design and maintain monitoring systems using Prometheus, Grafana and Elastic
Develop internal monitoring and quality control tools
Analyze incidents, trends and availability using SQL
Build Self - Service capabilities for development teams
Participate in on - call rotations, handle production incidents, and lead documented post- mortems
Write and Maintain operational documentation.

As a Senior Fullstack Engineer on the GenAI Platform Team, you will lead the design, development and maintenance of scalable use- friendly platforms and applications. You will work closely with product teams, data engineers, and AI developers to bridge the gap between advanced AI models and seamless user experiences. This role requires strong expertise in fullstack development with a particular emphasis on React for frontend development as well as building and optimizing backend systems.