Were looking for a talented Applied Algorithms & Operational Researcher to join our innovative team. As a member of our team, you will be responsible for analyzing extensive data, developing new metrics for our customers' vast data sets, and creating tools to classify and analyze the data effectively.

Responsibilities
Conduct comprehensive performance analysis of automotive radar systems, including data collection, processing, and interpretation. Evaluate system performance in various scenarios.
Develop and implement algorithms and tools to process and analyze radar data. Extract relevant performance metrics and provide meaningful insights into system behavior and limitations.
Collaborate with the development team to identify areas for improvement and optimization.
Conduct radar system performance tests and validation procedures. Create test plans, define test cases, and analyze results to ensure system performance meets specified requirements. Identify potential issues, troubleshoot problems, and propose solutions.
Create concise reports, technical documents, and presentations summarizing performance analysis results and recommendations. Effectively communicate findings to cross-functional teams, including engineers, managers, and other stakeholders. Contribute to product documentation and technical specifications.

Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly.
We are looking for a talented, self-driven, and hands-on Electro Optics Systems Engineer to join Prisma Photonics’ R&D team. In this role, you will develop and advance next-generation distributed fiber-optic acoustic sensing (DAS) systems, combining electro-optic system design, performance modeling, simulations, experimental validation, and field data analysis. You will tackle complex physical and engineering challenges, contribute to next-generation product development, and collaborate closely with multidisciplinary teams to bring innovative sensing technologies from concept to real-world deployment. This role is ideal for someone who thrives in a fast-paced, hands-on R&D environment, enjoys working across disciplines, and wants to see their work translate into real-world impact.

Hiring Manager:
Eyal Hollander

What You’ll Do:

* Lead experimental and theoretical R&D efforts for the development of Prisma’s next-generation distributed fiber-optic acoustic sensing systems.
* Design, evaluate, and optimize electro-optic interrogation systems for distributed acoustic sensing applications.
* Develop system-level models and simulations for optical signal generation, fiber propagation, coherent detection, system noise, SNR, and sensing performance.
* Build software tools and simulations in Python, C++, or similar languages for system evaluation, signal processing, field data analysis, and performance modeling.
* Plan, execute, and analyze laboratory and field experiments to validate system performance and support product development.
* Gain unique end-to-end expertise across the full sensing system pipeline, spanning fiber optics, electro-optics, coherent detection, DSP algorithms, and advanced data analysis.
* Lead product development activities from ideation and proof of concept through design, qualification, validation, and deployment.
* Collaborate closely with multidisciplinary R&D teams, including physicists, software engineers, algorithm developers, and hardware engineers.
* Communicate effectively with both technical and non-technical stakeholders, translating complex system behavior into clear insights and actionable recommendations.


What You Bring:

* BSc or MSc in Physics, Optical Engineering, Electrical Engineering, system engineering or a related field.
* At least 4 years of experience in multidisciplinary electro-optic systems, either as a Systems Engineer or in hands-on electro-optic, fiber-optic system design, integration, testing, or performance evaluation.
* Experience with noise analysis, including phase noise, detector noise, amplifier noise, SNR, and related system performance metrics.
* Experience with advanced optical measurement techniques, laboratory setups, and system characterization.
* Strong programming skills in Python, C++, or similar languages.
* Excellent analytical and problem-solving skills, with the ability to connect physical phenomena, system behavior, and data-driven insights.
* Strong communication skills and the ability to work effectively both independently and as part of a multidisciplinary team.
* Ability to manage multiple projects and priorities in a dynamic, fast-paced environment.


Great to Have:

* Knowledge in digital signal processing.
* Experience with telecom optical systems or

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Engineer to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

What you'll be doing:

Directly impact the architecture of our next generation AI and HPC offerings through modeling, simulation and analysis.

Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Develop advanced simulation solutions while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
We are looking for an experienced Senior Algorithms Developer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

Our Network Architecture, Modeling and Performance Insights group is seeking a skilled and driven AI Network Modeling Architect to conduct advanced network research and optimization while utilizing and enhancing our advanced simulation tools.

In this role, you will be a key contributor to defining the architecture and improving network performance for AI and High Performance Computing (HPC) workloads. You will be responsible for modeling advanced network architectures, topologies, configurations, logic and traffic patterns, and analyzing their effect on end to end performance. You will develop expertise in our simulation tools and contribute directly to their development road map and prioritization, develop core features in the simulator, and expose the capabilities to additional users. You will take part in complex architecture decisions, define and verify the modeling assumptions, and put them to the test vs. real HW and SW performance. If you're passionate about tackling intricate challenges and contributing to comprehensive systems and working on innovative solutions, we want to hear from you.

 

What you'll be doing:

Directly impact the architecture of our next generation AI and HPC offerings through modeling, simulation and analysis.

Deep dive into network behavior for training and inference use cases under advanced network topologies, configurations and traffic patterns which represent real life AI workloads, and analyze their effect on the systems performance. Develop advanced simulation solutions while contributing modular and scalable code.

Actively support the HW and SW development life cycles, map existing and candidate features into the simulation domain to enable their analysis, impact assessment and optimization.

Take full independent ownership of the performance modeling roadmap for a defined set of features. Interface directly with internal clients, communicate the analysis conclusions effectively and iterate on them. Drive projects from concept to completion.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

We are seeking a motivated Senior System Validation Engineer to join our growing post-silicon validation team in Israel and support next-generation connectivity products for AI and data-center applications.
In this role, you will perform system-level post-silicon validation, characterization, and debug across silicon, hardware, firmware, and software. You will support silicon bring-up and PVT/corner testing, develop and execute functional and system validation tests, analyze results, and work with cross-functional teams to identify and resolve complex system issues.
This is a highly hands-on lab position. The primary location is Haifa, with temporary support at the Ramat Gan lab as needed.
Key Responsibilities:
Develop and execute post-silicon functional and system validation from silicon bring-up through production readiness.
Run PVT, silicon corner, stress, characterization, and qualification testing across a wide range of operating conditions.
Develop validation tests to verify functionality, performance, stability, power, and operating margins.
Debug issues across silicon, hardware, firmware, drivers, and system software.
Validate high-speed interfaces such as PCIe, CXL, Ethernet/SerDes, and DDR, as well as common system interfaces.
Develop Python scripts and automation to improve validation coverage, regression, and test efficiency.
Analyze validation data, identify issues and trends, and drive problems to root cause and closure.
Work closely with hardware, architecture, firmware, software, design, and DV teams to investigate and resolve issues.
Support the transition of new silicon from initial bring-up to a qualified, production-ready product.
Operate system platforms and laboratory equipment to support validation and debug.
Document test results, issues, root cause, and recommendations and communicate findings clearly.

We are looking for an experienced Senior System Integration Engineer to join our team.

The role involves planning and executing system integration activities across multiple subsystems, from development through production. You will work with complex systems combining software, computing, IP networks, communications, RF, navigation & control, algorithms, and computer vision.

Responsibilities
System operation and troubleshooting, planning and executing integration processes, writing integration test specifications, preparing performance validation tests, and analyzing system behavior and performance.

Were looking for a talented Radar System Integration Engineer to join our innovative System Engineering group.

Responsibilities
Integrate multidisciplinary full radar system including HW Platform, ASIC, RFIC, SW, ALGO.
Troubleshoot and debug ARBE's Radar, ASIC and FPGA platforms.
Define, implement and execute acceptance tests plans, procedures, and reports.
Define new features and HW requirements for full system optimization.
Simulate and analyze mix signals system data.
Validate system performance.

The Networking Application Engineering team is looking for a motivated, experienced Senior Hardware Engineer who thrives at the intersection of hardware performance, ecosystem validation, and ODM/OEM partnerships. In this high-impact role, you will own critical qualification tooling, drive the design-in process with leading hardware partners, and collaborate across םור R&D organization to accelerate hardware resolutions at scale. Your work will directly influence the quality and velocity of next-generation networking hardware reaching the world's most advanced data centers and supercomputers.

What You'll Be Doing:

Own and lead the Hardware Performance and Qualification tooling suite, driving continuous improvement in test coverage, automation, and accuracy in collaboration with leading ODMs and OEMs.

Drive the design-in process with top-tier ODM and OEM partners, ensuring seamless hardware integration and delivering best-in-class platform experiences.

Partner cross-functionally with multiple R&D departments to identify, escalate, and resolve hardware issues rapidly - reducing time-to-resolution and maintaining platform quality.

Define and execute qualification plans for new hardware platforms, validating performance, stability, and compliance across diverse system configurations.

Build and nurture trusted technical relationships with ODM/OEM engineering teams, acting as the go-to expert for hardware performance and qualification.

Provide actionable feedback to engineering and product teams based on qualification findings and partner interactions.

We are looking for a Senior Product Engineer to join a global team of a Product Engineers that own a technical success and customer satisfaction across multiple high-impact projects. This role is deeply rooted in data analytics; youll be working at the intersection of silicon, systems, and software to deliver high-value insights to customers.

Responsibilities
Performing post-silicon and system-level data analysis and providing insights on data extracted from post-silicon stages.
Supporting customers with analytics platform problems solving and new features introduction.
Drive integration of our analytics platform within customer environments, bridging silicon, test, and system-level domains.
Collaborate with R&D and data science teams to develop, validate, and improve advanced analytics algorithms.
Troubleshoot complex silicon/system issues through data-driven insights.
Partner with internal stakeholders (design, software, product) to influence roadmap and execution.
Act as a technical professional in customer onboarding, support, and ongoing engagement.