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we are a global leader in precision measurement sensing technologies and systems. The company designs and manufactures highly engineered sensors, weighing solutions, and measurement systems that support critical applications across industries such as aerospace, automotive, medical, industrial automation, and research. With a strong focus on innovation, quality, and operational excellence, our company leverages decades of expertise to deliver high-performance solutions to customers worldwide. The company operates manufacturing and R&D facilities across multiple regions and is committed to continuous improvement and customer satisfaction.
* Develop, maintain, and execute production plans based on customer demand, forecasts, inventory levels, and manufacturing capacity.
* Confirm Sales Orders (SOs) from Customers, Engineering, and R&D according to loading plans and established procedures.
* Track and monitor SOs throughout the production process.
* Monitor chips and plates orders from primary departments or purchasing teams.
* Perform availability checks for chips, plates, semi-finished goods (Semi-FG), and finished goods (FG) prior to order confirmation.
* Maintain and update forecast (FCs).
* Prepare and release chips, plates, or elements for production dispatch.
* Work closely with cross-functional departments including Production, Engineering, R&D, and Purchasing to ensure smooth planning flow.
* Identify potential shortages or delays and proactively support resolution.
Region:
Israel

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary System Validation Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, ensuring the reliability and testability of chips that power the world's largest AI clusters.
Job Description
The mission of this role is to perform system validation for our companys highly advanced devices, that includes defining strategy, develop tools, innovate, be creative to make sure devices are performing as they should in all aspects, logical, performance, durability, stress and more.
You will be part of the site located at Israel (Haifa - Matam), surrounded with highly experienced and professional engineers who will escort, mentor and support you on your journey at our company Labs Israel.

We are looking for an experienced Software Team Lead to lead a team developing high-performance, mission-critical software for next-generation cellular networks.

In this role, you will combine technical leadership, people leadership, and hands-on development, driving the design and delivery of scalable solutions used by leading mobile operators worldwide. You will play a key role in shaping the architecture of our next-generation monitoring and analytics platform while mentoring engineers and fostering a culture of technical excellence, ownership, and innovation.

Working closely with architects, product managers, and cross-functional R&D teams, you will influence technical direction and lead the development of complex systems across 4G/5G, Radio, and Core Network technologies.


Responsibilities

Lead, mentor, and develop a team of software engineers, supporting their professional growth and technical excellence.

Drive architectural and technical design decisions for high-scale, performance-critical systems.

Take end-to-end ownership of projects, from design and implementation through deployment and continuous improvement.

Remain deeply involved in hands-on development, debugging, performance optimization, and solving complex technical challenges.

Collaborate closely with Product Management, Architects, and R&D teams to define technical roadmaps and deliver impactful solutions.

Build highly scalable, reliable, and efficient software infrastructure supporting next-generation cellular networks.

Promote engineering best practices, code quality, design reviews, and technical innovation across the team.

Lead cross-functional initiatives and drive alignment between multiple stakeholders and engineering teams.

we are looking for a Software Engineer Technical Leader.
As a Software Engineering Technical Leader, you will drive the technical vision and execution for complex security policy and access solutions that safeguard enterprise networks globally.
You will leverage your deep expertise in systems programming using C, C++, and Java to architect and develop robust, scalable software. By providing technical leadership, you will mentor peers, guide architectural decisions, and foster a culture of innovation and continuous improvement within the team. Your work will directly contribute to mission by ensuring our network access solutions are secure, programmable, and highly reliable. You will also champion software programmability and integrate automation and orchestration practices to streamline development and enhance product performance, ultimately empowering our customers to connect with confidence.

We're looking for a Backend Developer to join our awesome Core Platform team. The team is responsible for building complex, high-scale, real-time services and infrastructure which is used by all companys studios to support their business.
We are looking for an engineer who views AI not just as a tool, but as a fundamental shift in how we build software. You will be responsible for designing high-performance, distributed systems while leaning heavily into an AI-First engineering culture.
We are looking for strong software engineers with practical experience, the drive, and enthusiasm to succeed in a demanding and professional team environment.
Responsibilities:
You will design, architect, test and implement core services and features in our platform services and data pipeline infrastructure.
You will be responsible for scalable, high-traffic production infrastructure across all our studios.
You will build valuable tools to support the development and business processes across the company
You will integrate AI agents and LLMs (Cursor, Claude Code) into your daily flow to maximize velocity and code quality.
You will deliver high quality and well-structured code
You will own the deliverables end-to-end, from inception, through design and development and production implementation.

Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As a Staff Engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. Youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities:
Own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management,
shaping architectures that span multiple services and teams while balancing scalability, reliability, and security.
Lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs.
Proactively identify critical technical problems or gaps, and drive solutions from concept through delivery.
Establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence.
Communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration.
Document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform.
Advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.

We are hiring a hands-on AI expert to shape our intelligent platform, organizing complex real estate data into actionable insights and predictive models that power smarter investment decisions.

Responsibilities

AI/ML Architecture: Design and implement scalable AI systems using models such as
LLMs (e.g., OpenAI, Anthropic) and computer vision (e.g., YOLO, CLIP)
MCP Integration: Architect and orchestrate model context flows using MCP or similar
frameworks to deliver personalized, context-aware experiences
FinTech Platform Integration: Embed intelligent features into our backend and frontend
systems, ensuring seamless UX and robust performance
Hands-On Development: Write production-grade code across Python, TypeScript, and
Node.js. Own key modules and guide technical decisions
Team Leadership: Mentor a few developers, set engineering standards, and foster a
culture of experimentation and excellence
Data Strategy: Collaborate with product and data teams to define training datasets,
feedback loops, and model evaluation pipelines

As the world's leading vendor of Cyber Security, facing the most sophisticated threats and attacks, we've assembled a global team of the most driven, creative, and innovative people. At our company, our employees are redefining the security landscape by meeting our customers' real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base.
our company Software Technologies has been honored by Time Magazine as one of the World's Best Companies for 2024. We've also earned a spot on the Forbes list of the World's Best Places to Work for five consecutive years (2020-2024) and recognized as one of the World's Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.
We're looking for a Senior Software Developer who can design systems that scale, help developers grow into stronger engineers, and make AI tools part of the team's everyday workflow, not just their own.
Key Responsibilities
Major Responsibilities
Own system design and architecture decisions across your team's services, partnering with product managers and architects to turn business requirements into solid, scalable technical designs
Mentor developers through code review, pairing, and ongoing technical guidance, and help shape their growth as engineers
Partner with DevOps/SRE and platform teams to design and run services in customers environments.
Bring AI tools into the team's daily work - coding assistants, automated review, test generation - and keep exploring new ones yourself
Set the bar for engineering practices across the team: testing, code quality, technical documentation, and CI/CD.

We are seeking a Staff Developer to join our team and take a lead role in shaping the architecture, evolution, and reliability of our systems core services.
You will directly shape Apono's technical direction, keeping our architecture aligned with company strategy while pushing forward what's possible in access management and engineering excellence. This role means owning a roadmap that raises the bar on quality, scalability, and security across our platform, as we bridge the operational security gap for organizations running in the cloud.
What you can expct:
Shape the architecture and long-term technical direction of core services powering Apono's platform.
Own complex, ambiguous initiatives end-to-end, from problem definition through rollout, spanning one or more teams and systems.
Break down large, undefined problems into a coherent execution plan, and drive that plan to completion.
Partner with product, design, and other engineering teams as a technical authority, translating ambiguity into clear architectural decisions.
Balance rapid iteration with long-term system health, scalability, and security.
Raise the bar for engineering standards, code quality, observability, and operational excellence across the org.
Mentor senior and mid-level engineers through design reviews, technical deep-dives, and pairing.
Evaluate new technologies and propose architectural improvements that shape how Apono builds going forward.
Leverage AI-assisted engineering workflows to multiply your own impact and the team's.
See your technical decisions directly shape the platform's ability to scale with the business.

We're a leading force in the ad tech industry, revolutionizing how brands connect with their audiences. Our platform processes billions of ad impressions daily, generating massive datasets that drive our core business.

We thrive on innovation and seek a Senior Data Infra Engineer to help us build and scale the data infrastructure that powers our insights and analytics.
This is a unique opportunity to work with cutting-edge technologies and make a direct impact on our products.

What will you do?
As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

Were looking for a Principal Backend & Data Engineer to own and evolve the core data-intensive backend architecture of our AI platform. This is a senior individual contributor role with broad architectural responsibility and deep hands-on impact.

You will be a technical authority in building scalable, high-performance backend and data systems that power our AI research engine - working closely with AI scientists, platform engineers, and product leaders. Beyond implementation, you will define technical direction, set engineering standards, and influence how we build and scale data-driven AI systems across the organization.

What Youll Do
Architecture & Technical Ownership

Own the architecture of core backend and data systems that support large-scale, AI-driven computation and inference.
Design and evolve high-performance analytical processing layers handling complex data workloads at scale.
Make and drive long-term architectural decisions across backend, data, and AI integration domains.
Define standards and best practices for performance, scalability, reliability, and data correctness.
Backend & Data Engineering

Design, implement, and optimize data-intensive backend services using Python.
Build and evolve analytical compute pipelines using technologies such as Polars, DuckDB, AirFlow, Iceberg, Spark and other ingestion and processing frameworks.
Collaborate closely with AI scientists to productionize algorithms and embed advanced intelligence into the platform.
Platform & Infrastructure

Architect and maintain containerized systems using Docker and Kubernetes.
Ensure systems are observable, debuggable, and operable in production environments.
Drive performance tuning and cost-efficiency across compute-heavy workloads.
Technical Leadership

Act as a technical authority and thought leader within the engineering organization.
Mentor senior engineers through design reviews, architectural guidance, and hands-on collaboration.
Serve as a force multiplier by unblocking complex technical challenges and raising the overall engineering bar.

we are seeking a Senior Python Software Engineer to join our high-impact Risk Team. The Risk Team sits at the heart of our decisioning engines, powering every product through a state-of-the-art fusion of predictive machine learning models and real-time market strategies.
In this role, you will lead backend development for new financial products, working closely with ML Engineers to build robust, fault-tolerant infrastructure that supports complex predictive models. You will design and scale high-volume, low-latency systems that execute critical financial decisions in milliseconds. We are looking for an engineer who understands end-to-end software architecture and possesses the business acumen to transform strategic goals into engineering reality.
Key Responsibilities
Architect & Build: Design and implement resilient, low-latency backend solutions capable of handling high-throughput, high-availability demands.
Solve Complex Systems Challenges: Tackle intricate architectural problems by applying deep expertise in distributed systems and performance optimization.
Cross-Functional Collaboration: Partner closely with ML engineers, product managers, and data scientists to operationalize decisioning logic smoothly.
Maintain & Scale Infrastructure: Safeguard system health, ensure continuous operational stability, and optimize runtime performance.
Drive Technical Excellence: Advocate for clean code, solid design patterns, robust testing, and maintainable software architecture.
Mentor & Empower: Elevate the engineering team by mentoring junior developers, leading technical discussions, and fostering a culture of continuous learning.

We are hiring Deployment Strategists - Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound - typically 12 weeks or less - and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.

Key Responsibilities

Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle - Identify → Commit → Deploy → Consume - owning outcomes at every stage, not just discovery or deal closure

AI Strategy & Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.

Deployment Oversight & Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.

Adoption & Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization

Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.

AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including

Cursor, Claude, and our coding products like Vibes, to accelerate development.

Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.

AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents.

Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.

We are looking for a mission-driven BizOps Engineer to join our R&D team!
We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the BizOps Engineer, you will serve as both a platform architect and a hands-on builder. You will own the AI-native platform architecture and governance for all non-core product functions, including Sales, Operations, HR, Legal, and Finance, while also building, maintaining, and scaling custom AI solutions yourself to address specific departmental needs.
Reporting directly to the VP of R&D, this role begins as a high-impact Individual Contributor (IC) with a clear mandate to build and lead a dedicated engineering team as the function scales. Your primary focus will be designing and deploying infrastructure and security protocols while simultaneously delivering the bespoke AI tools that empower teams and drive operational efficiency.
You will have the autonomy to choose the most effective path forward for any given challenge, whether that means leveraging existing SaaS platforms, integrating open-source projects, or building custom solutions from scratch, always guided by the specific needs and projected ROI of the departments you support.
Responsibilities:
Architect and maintain the internal AI-native platform, while personally building and scaling custom AI solutions and automated workflows for cross-functional teams.
Establish and enforce security protocols, governance frameworks, and best practices to enable safe and compliant AI solution development across the organization.
Identify and scale platform enablement opportunities that allow departments to automate their own workflows using approved AI capabilities.
Monitor and manage organizational compliance for internal AI applications, ensuring data privacy and ethical standards are met at scale.

Were seeking a Head of AI to lead research and engineering for multimodal foundation models and reasoning‑centric systems-from prototyping to reliable, secure, production deployment. The Head of AI will manage deep learning researchers, computational biologists, immunologists and engineers and partner closely with product leaders and company leadership to convert cutting‑edge methods into high‑impact, mission‑critical capabilities.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Team Leadership & Growth
Lead, mentor, and develop deep learning researchers, computational biologists, and machine learning engineers; set a high bar for scientific rigor, code quality, and delivery.
Establish clear ownership, role definitions, and growth paths; nurture a collaborative, low‑ego culture.

Technical Strategy & Delivery
Own the AI roadmap and architecture; guide model design, evaluation, and productionization (training, serving, observability, safety).
Build scalable pipelines for transformers, multimodal fusion, and reasoning/agent frameworks; champion reproducibility, CI/CD for models, and cost‑efficient GPU/TPU utilization.

Research Integration & Innovation
Stay current with the literature; run journal clubs and technical deep dives.
Evaluate, pilot, and integrate state‑of‑the‑art methods (advanced transformers, retrieval and tool‑use agents, causal/biological reasoning) into robust systems.

Cross‑Functional Collaboration
Translate biological and clinical questions into tractable AI projects with measurable impact.
Communicate complex trade‑offs to peers and executives; align plans, risks, and milestones across functions.

Mission & Impact
Prioritize initiatives that advance patient outcomes and create cumulative platform value.
Balance speed with scientific integrity, security, and compliance.