דרושים » חשמל ואלקטרוניקה » Electro Optics Systems Engineer

We are seeking a talented, self-driven, team-player, passionate Physicist to join our R&D team. In this role, you will develop and advance distributed fiber optic sensing technologies, combining theoretical modeling, simulations, fiber-optics systems design, and hands-on experimental work.
You will tackle complex physical challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative solutions from concept to real-world deployment.
This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.
What Youll Do:
Experimental and theoretical R&D work for the development of next generation distributed fiber optic acoustic sensing (DAS) electro-optic interrogation systems.
Gain unique end-to-end expertise across the full sensing system pipeline, spanning optical signal generation and propagation, coherent detection, DSP algorithms, and advanced data analysis.
Experimental Work to prove new concepts, develop innovative solutions for new products, and support current generations.
Develop software tools and simulations (Python/MATLAB/C++) for laboratory experiments, field data analysis, signal processing, and system modeling.
Collaborate with multidisciplinary R&D teams and projects.
Communicate effectively with technical and non-technical colleagues.

We are looking for a talented, self-driven, and hands-on DSP Researcher to join R&D team.
In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications.
You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams.
This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
What Youll Do:
Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
Develop simulations, models, and analysis tools using Python and/or C++ for lab experiments, field data analysis, signal processing, and system-level performance evaluation.
Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Required Post-Silicon Validation Engineer
About The Position
We build cutting-edge radar chipsets for next-generation automotive sensing systems. As a Post-Silicon Validation Engineer, you will play a critical role in bringing complex mixed-signal ICs from silicon to system readiness.
Responsibilities
Perform validation of advanced radar ICs from bring-up through full functional and performance testing
Translate system and chip-level requirements into comprehensive validation plans and test cases
Develop automated test environments using lab instrumentation and custom scripts
Execute silicon bring-up and validate key subsystems (clocking, power, CPU, interfaces, sensors)
Perform electrical and parametric validation, including high-speed, power, and interface testing
Run characterization across PVT conditions and analyze large datasets
Debug complex silicon issues and work closely with design, verification, and system teams
Support device readiness for system integration and productization.

We are seeking PHY Algorithm Technical Leader, Silicon One Israel
Meet the Team:
You will join the SerDes System Algorithm team within Silicon One High Speed in Israel, part of our silicon development organization. The team works across modem technology, system modeling, and signal processing for high-speed SerDes devices.
We are at the center of our ASIC group, building next-generation network devices for AI networks, the 5G era, and the future of routing. Our design center brings silicon hardware and software disciplines together in one site, combining a small-team startup atmosphere with the scale and stability.
Your Impact:
As a PHY Algorithm Technical Leader, you will provide technical leadership for the development, modeling, configuration, and optimization of algorithms for advanced SerDes modem systems. You will work with the latest silicon technologies and processes to help build large-scale, complex devices at the edge of feasibility.
Your work will contribute to Silicon One, a unified and programmable silicon architecture designed for service provider and web-scale markets. The role requires technical depth in digital signal processing, modem behavior, and using MATLAB for algorithm development, with the ability to guide algorithm work from initial concept through advanced SerDes system implementation.
Provide technical leadership for research, design, and development of PHY and modem algorithms for high-speed SerDes devices.
Define and use system models to analyze modem behavior, signal-processing performance, architecture constraints, and algorithm tradeoffs.
Guide modem configuration, tuning, and optimization to improve performance, robustness, and implementation feasibility.
Use MATLAB for algorithm development, simulation, testing, and data analysis.
Guide technical decisions, review algorithm tradeoffs, and mentor engineers on complex PHY and modem development tasks.
Lead cross-functional technical collaboration with system, silicon hardware, and software teams to move algorithms from modeling into practical implementation.
Support lab-based validation and debug activities when required.

We are seeking a highly motivated Image Quality Engineer to join our VPU system team. You will be responsible for evaluating and improving camera image quality across AI ISP and vision pipelines, with a strong focus on real-world customer scenarios. The role combines hands-on lab work with IQ measurement tools, together with close collaboration with our ISP, algorithm, and customer-facing teams to deliver excellent image quality from internal demos through customer evaluations and product integrations.
Responsibilities:
Analyze image quality metrics (Sharpness, Noise, Color accuracy, Exposure, Dynamic range & Motion blur)
Collaborate with software and algorithm teams to tune image signal processing (ISP) parameters for optimal performance.
Provide image quality support for customer demos and evaluations, working directly with customers to resolve IQ issues.
Provide feedback and recommendations to improve camera performance across different lighting and scene conditions.
Document test procedures, results, and tuning iterations.
Operate and maintain IQ lab setups, including lighting environments, test charts, and measurement tools.

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.

we are looking for a Image Processing Algorithms Engineer.
You will be responsible for defining end-to-end solutions for image signal processing algorithms, both classical and deep learning-based, from the algorithm level to the system level. You will bring your own hands-on expertise, as well as technical leadership, to see these solutions come to life from inception to full implementation.
You will design ISP components and take them from proof-of-concept to production, pushing image quality to a cutting-edge level. You will survey both academic literature and product-grade solutions, then design and implement dedicated solutions optimized for embedded HW. In addition to striving for best possible image quality, you will be responsible for leading the end-to-end implementation via collaboration with SW and HW implementation teams, targeting deployment to Vision Processor.
Responsibilities:
Serve as a domain expert in the field of image enhancement for video cameras. In particular, you will serve as the technical focal point for your projects, owning and leading the end-to-end technical aspects, while collaborating with external partners, internal teams, other algorithms engineers and cross-functional experts.
Translate high-level product requirements to system ISP building blocks and drive R&D efforts to implement them.
Implement proof-of-concepts, based on both your own ideas as well as taking ideas from publications, and carrying these from theory into practice that fits product requirements.
Evaluate and test your solutions considering both image quality and overall system behavior, benchmarking against existing solutions and baselines. Iterate and improve in order to reach superior results or a better quality/performance tradeoff.

The Senior Hardware Test Engineer is responsible for developing, implementing, and sustaining test processes and equipment used in the manufacturing of hardware products. This role ensures that products meet quality, reliability, and performance standards through robust test strategies, automation, and continuous improvement. The engineer acts as a bridge between design engineering, manufacturing operations, and quality assurance, supporting new product introductions (NPI) through to mass production and sustaining phases.
This is a great opportunity to be part of one of the fastest-growing AI infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Role and Responsibilities:
Test Development & Validation
Design, develop, and implement test plans, test fixtures and infrastructure.
Collaborate with R&D to define test requirements early in the product lifecycle.
Develop test scripts and automation software (Python, LabVIEW, C#, etc.) to improve coverage and efficiency.
Validate test coverage, yield, and reliability through statistical analysis (GR&R, Cpk, SPC).
New Product Introduction (NPI)
Support EVT, DVT, and PVT phases with test readiness and execution.
Lead test process transfer to contract manufacturers (CMs) or ODM partners.
Train CM engineers/technicians on test systems and procedures.
Ensure compliance with safety, regulatory, and customer requirements.
Manufacturing Support & Continuous Improvement
Monitor production test yields, debug failures, and drive root cause analysis (RCA).
Implement corrective actions and continuous improvements to reduce test time, cost, and false failures.
Maintain and calibrate test equipment and fixtures.
Support ECO (Engineering Change Orders) by updating test plans and equipment accordingly.
Cross-Functional Collaboration
Work closely with hardware, firmware, and reliability engineers to improve product testability and robustness.
Partner with Quality and Operations to ensure smooth scaling into mass production.
Engage with suppliers and CM partners on test strategy alignment.

Were looking for a highly effective and experienced Backend Python Engineer with deep Python expertise to design and deliver scalable, resilient systems as part of a highly successful and collaborative engineering team.


In this role, you will work on highly innovative, next-generation security technologies within our Human Risk Management (HRM) product group. Human Risk Management is a comprehensive approach to cybersecurity that focuses on understanding, measuring, and mitigating risks associated with human behaviour across an organization.


You will contribute in technical design and code quality, and will be responsible for designing and building a new, large-scale analytics database from the ground up, forming a core foundation of our risk scoring and HRM capabilities. This is a hands-on role with meaningful ownership across the full software development lifecycle.


Your day-to-day:

Lead the design and development of core backend components of a large-scale SaaS platform using Python.

Design, build, and maintain RESTful APIs and highly available management services.

Design and implement scalable distributed systems and intelligent network data-path processing.

Design, build, and evolve a new large-scale analytics database from the ground up, responsible for ingesting high-volume security signals and calculating human risk scores at scale.

Champion engineering best practices, system reliability, and maintainable code.

Contribute to in-depth code reviews, architectural guidance, and mentoring of other engineers.

Required Software Engineer, CPU Performance Modeling, Cloud
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work with System teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision making. You will correlate performance projections with measured post-silicon data.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU Architecture teams, SoC performance modeling team, and other Software teams.