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Prisma Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solutions based on novel fiber-sensing technology. 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 AI, we help protect human lives and keep critical energy. We're seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role you’ll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of today’s energy landscape. This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. You’ll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What You’ll Do:

* Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
* Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
* Ensure data quality and consistency for accurate analysis and reporting.
* Conduct statistical analysis and use data visualization tools to present findings.
* Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
* Provide data-driven insights and recommendations to support decision-making processes.
* Interpret and communicate results to customers and management in a clear and concise manner.
* Present key findings of your analysis to customers around the globe.

What You Bring:

* B.Sc. degree in a related field. (M.Sc./Ph.D. is an advantage)
* Experience with AI-native development environments and automation with coding agents.
* At least 5 years of experience in data analysis, business intelligence, or a related field.
* Proficiency in data analysis tools such as SQL, Python (Pandas, Jupyter, Plotly).
* Experience with product management skills, driving data science and data engineering teams, experience with open ended data tasks and explorations.
* Knowledge of statistical analysis techniques and methodologies.
* Familiarity with database management systems and data warehousing.
* Strong data visualization and presentation skills in English (foreign customers).
* Experience with data visualization tools like Tableau, Power BI, Grafana, Python Plotly or similar.
* Excellent communication and teamwork skills.
* A curious mindset and a passion for solving complex problems.

?About us
We are a world-class designer, Developer, and manufacturer of innovative Fire Control Systems that significantly increase the accuracy and lethality of small arms. With a rich record in designing unique solutions for the warfighter, our technology enhances mission effectiveness through the ability to accurately engage and eliminate ground, aerial, static or moving targets during day and night operations. We develop advanced fire control, stabilization, and target engagement systems used worldwide. We are expanding our R&D team and looking for a Control & Algorithm engineer to develop next-generation precision motion and control technologies. Responsibilities
* Develop motion control algorithms for Real-Time high-precision systems
* Design and implement control models using MATLAB/Simulink (major part of the work)
* Develop and maintain control algorithms for new and existing products
* Work on fire control, stabilization, tracking, and line-of-sight systems
* Participate in system integration, debugging, and performance tuning on real systems
* Support laboratory and field testing, including on-site experiments when required
* Analyze TEST results and implement algorithmic and system improvements
* Work closely with multidisciplinary teams (software, mechanical, electrical, and systems)

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a talented Python Developer to join our growing Hardware Infra team, part of our R&D group. In this role, you will play a crucial part in architecting and developing the core infrastructure and tools that power our innovative solutions, ensuring our products are tested, shipped, and maintained to the highest quality standards. If you are innovative, passionate, and constantly looking for creative ways to improve product testing architecture and infrastructure, come and join us!
Responsibilities:

* Enhance and maintain appliance tools that monitor our products within customer environments
* Design and develop robust, scalable testing infrastructure and complex TEST scenarios to ensure high-performance and product reliability
* Take full ownership over the end-to-end design and implementation of web application features, API backends, and appliance tools
* Collaborate with cross-functional teams (including DevOps, Software Engineering, Hardware, and Validation) to design and implement efficient, reusable, and reliable applications
* Investigate and resolve complex, hard-to-find issues such as race conditions, hardware failures, delicate timing bugs, and large-scale system anomalies.

we are hiring Intermediate Malware Researchers to analyze and review malware applications. Candidates should have a background in cybersecurity and software development. The role includes training in malware analysis and detection and provides exposure to various malware threats and techniques. Researchers will combine technical and intelligence findings to reach accurate verdicts and assist in the bulk removal of malicious applications. The position requires adaptability and proactive identification of emerging malware trends. We are seeking candidates who are willing to learn, can perform effectively under pressure, and maintain high professional standards.
About us:
we are a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, our company provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

We're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. We offer amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The Embedded control team develop SW products that create the basic building blocks of the our system and deal with various fields - power conversion algorithmic, communication algorithmic, optimizations, rt problems on different platforms - DSPs, Companys ASIC and digital controlled power converters for photo-voltaic power systems. Our technological challenges focus on the following fields: power electronics, digital close loop control and Digital Signal Processing algorithms implemented on companys microprocessors. In this position, you will take part in developing advanced control algorithms and software for our state-of-the-art products.
What you will be doing:
* Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP and communication over different platform.
* Design, develop, optimizing, TEST and maintain complex and exciting Embedded SW for power electronics and control systems in a multi processors environment.
* Developing on various micro-controllers and dealing with various rt constraints.
* Ownership of a project/product from end to end- from concept and simulation, through development and integration and field deployment.
* Building complex simulations integrating SW and HW and working hand by hand with HW team.


Country:
Israel
City:
Herzliya

our company SAP Department is seeking a SAP PM Consultant. We are looking for a skilled SAP PM Consultant to implement, maintain, and enhance SAP Plant Maintenance (PM) solutions, analyze business processes, and support maintenance operations across the organization. This role requires strong expertise in SAP PM configuration, business process analysis, functional specifications, and close collaboration with business users and development teams. A full-time, hybrid position, based in the Northern District, Israel.
?Key Responsibilities:
* Analyze, implement, and optimize business processes within the SAP PM module.
* Configure and support SAP PM, with deep expertise in Notifications, Functional Locations, Equipment, and related PM objects.
* Gather business requirements and prepare functional and technical specifications for ABAP developments, interfaces (PI/CPI), UI5, mobile applications, and workflow processes.
* Deliver user training, provide ongoing support, and collaborate with external vendors and implementation partners when required.

Alice is looking for an Android Security Research Team Leader to manage a team of super-talented malware researchers and reverse engineers. Our teams help top-level companies improve their security mechanisms using our insights on the latest malware trends, adversarial shifts, and new techniques. Combining intelligence, sophisticated forensics, and data science helps us catch the most relevant and up-to-date threats and threat actors. What will you do?
* Lead and mentor a team of security researchers across multiple projects
* Own long-term malware and security research of a variety of Android frameworks, technologies, and domains
* Detect large-scale malware campaigns and help bring their operations down
* Review and enhance your team's research reports and code
* Collaborate with other teams throughout the organization
* This role is a management position with 40% hands-on technical work
* Find the bad guys - take them down

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

The role is simple to state and hard to do well: make that optimization save more tokens without ever costing output quality or breaking a provider's cache. It's a research-heavy engineering role - you form theories from real traffic and ship the ones that prove out on live customer requests.

Why this role
LLM optimization is a young field with no settled playbook, so the optimizations you invent here are genuinely new - and they ship into production, not a paper. And they matter: real enterprises run enormous volumes of LLM traffic and feel every wasted token, so the work you do lands on live customer requests and solves a problem they actually have. It's about as close to the frontier, and as close to the product, as engineering gets.

LLM optimization is a young field with no settled playbook, so the optimizations you invent here are genuinely new - and they ship into production, not a paper. And they matter: real enterprises run enormous volumes of LLM traffic and feel every wasted token, so the work you do lands on live customer requests and solves a problem they actually have. It's about as close to the frontier, and as close to the product, as engineering gets.

03What you'll do
Invent and ship optimizations. Design new strategies across every layer of a request - prompt and context compression, tool pruning, file and dev-command trimming, semantic caching, cache-prefix stabilization - and take them all the way to the hot path. Each one has to cut tokens on real traffic without degrading output.
Prove every win. Build the evals and the token/quality instrumentation that separate a genuine saving from a plausible-sounding one. An optimization only ships when the numbers back it.
Live in the caching trade-offs. Provider prompt caches only pay off on byte-stable prefixes, and a naive rewrite can cost more than it saves. Knowing exactly when an optimization actually wins - deterministic transforms, per-session decision pins, semantic dedup - is a lot of the job.
Build and own the gateway that runs them. The real-time proxy that carries production LLM traffic - streaming, retries, backpressure - executing every optimization on the live request path.
Keep it fast and deploy anywhere. Defend a tight latency budget on the hot path, and package the whole thing so it installs cleanly into any customer's cloud - AWS, GCP, Azure, containers, Kubernetes - and upgrades without drama.
Own systems end to end. From first commit to code serving live customer traffic - plus the spend-visibility and governance product built on top - with a direct line to the founders.

Were seeking a Conversational Quality Specialist to help shape and continuously improve voice-based experiences across our platform. This role sits at the intersection of conversation design, AI interaction quality, and cross-functional collaboration. You'll work with product, sales, marketing, and NLP teams to ensure our AI conversations are effective, natural, and engaging.

What Youll Do

Design Engaging Interactions

Create, edit, and optimize prompts, scripts, and dialogue flows that feel intuitive, realistic, and aligned with human communication patterns.

Enhance Demo Experiences

Collaborate with sales and marketing to craft compelling demo conversations that showcase the power of our AI.

Evaluate Conversation Quality

Review real user-AI conversations to assess performance, highlight successes, and uncover improvement opportunities for our core conversation engine.

Define Quality Metrics

Develop and implement conversation quality frameworks and metrics to evaluate effectiveness, user engagement, and learning outcomes.

Support Multi-Language Rollout

Oversee and advise on multilingual implementation to ensure high-quality experiences across regions.

Stay Ahead of the Curve

Keep up with best practices in conversation design, LLM-native UX, voice AI trends, animated avatars, user interaction models and any new technology that is expected in conversations.

We're looking for a Senior Applied Researcher and Team Lead to help shape how our conversational agents are designed, evaluated, and shipped reliably at production scale.



Key Responsibilities

Partner directly with the Applied Research Team Lead to define and evolve team process, technical standards, and the quality bar for agent behavior.
Take real user experience and data through the full arc, from concept to a reliable agent design to a shipped, production-grade product.
Own or share ownership of the standing function of assessing AI tools, models, and providers for reliability and fit.
Raise the technical bar across a team spanning research-leaning grad students to engineers newer to AI, and turn personal expertise into shared tooling and standards the whole team can use.
Operate pragmatically inside current infrastructure constraints while flagging where structural fixes are needed.

We're looking for a Full Stack Team Lead, backend-oriented, someone who can go deep on Python and distributed systems, stay comfortable enough in React to guide a team that owns both ends of the stack, and help shape how a small, fast-moving engineering team works and grows.



Key Responsibilities

Own backend architecture, APIs, and infrastructure end to end, with hands-on involvement in frontend work where needed.
Lead and grow a small team of engineers across different experience levels, from technical mentoring to career development.
Set the tone for incident response, on-call availability, and production reliability.
Adapt the team's direction as the company grows, and take the lead in shaping how the team works rather than just reacting to change.
Build a culture of open feedback, where the team's input genuinely shapes the roadmap.
Represent the team's needs to company leadership, including on how and where people work.
Participate in code reviews and design discussions, and mentor team members directly.