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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.

Our software team is growing, and we are looking for a software data engineer to be entrusted with designing, building, and optimizing large-scale data pipelines in both on-premise and cloud environments.


Your role will encompass the management and storage of binary and tabular data, integration and collaboration with our AI/ML teams and stable large scale ETL pipelines. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.

Responsibilities
Manage and design ETL processes, data cleansing, transformation, and integration.
Work closely with our ML/AI teams.
Apply solid expertise in SQL and other databases to support data operations.
Collaborate with the data team and stakeholders to align on requirements and deliverables.
Manage and set up visualization tools to enable data-driven decision making.
Monitor and maintain logging frameworks such as Grafana, Prometheus, Kibana, and Elasti.

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 forward-looking team bringing groundbreaking human interaction into consumer products. We work at the frontier of weak signal sensing and researching their information content, translating fundamental discoveries into transformative technology.

We are looking for a talented researcher with a can-do state of mind, eager to combine psychology, physics, data science, and ML to probe the limits of human interaction. You are passionate about enabling the sensing of weak signals, uncovering their information content, and turning that understanding into real consumer experiences. If you are driven to push the boundaries of what's measurable and translate it into technology the world hasn't seen yet, we want to hear from you.

Responsibilities
Define research topics and strategies aligned with system and product requirements.
Design, build, and operate methods and test setups to quantify system performance.
Design new ways to collect, analyze, and interpret data, translating insights into technology capabilities and product specifications.
Apply existing knowledge to novel approaches to enhance weak signals and compensate for lack of information.
Characterize material and system-level physical limits to inform design feasibility and define system requirements.
Develop and analyze real world experiments to support 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 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 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 someone who operates independently and leads projects, not someone who waits to be handed a task. You will own initiatives from idea through production, collaborate with product, design, and hardware teams on Bluetooth/BLE and IoT integrations, and mentor other engineers along the way.
This role is fully onsite.

Responsibilities
As a Senior Software Applications Engineer, you will shape the architecture and quality of our mobile applications and the Python services that power them. You will work end to end, from native iOS interfaces down to the hardware our products communicate with, setting technical direction and the standards other engineers build upon.