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We are seeking an experienced Data Team Lead to build, lead, and scale our data function. This is a hands-on leadership role that combines strategic thinking, technical excellence, and people management. You will build and manage a team of Data Engineers and Data Analysts, while working closely with senior management and cross-functional leaders to translate data into measurable business impact.
This role is ideal for someone who thrives in a fast-paced startup environment, enjoys influencing decision-making at the highest levels, and is passionate about embedding a data-driven mindset across the organization.
What You'll Do:
Lead and mentor the Data team, and support their professional growth while achieving impact goals of the marketing data structure such as: multi touch attribution model, creative analytics and automated data governance processes.
Define and own the data vision, roadmap, infrastructure, and best practices aligned with company objectives.
Act as a trusted data partner to executive leadership and senior stakeholders, influencing strategy through insights and analysis while promoting a strong data-driven culture.
Oversee the design, build, and maintenance of a scalable and reliable data warehouse.
Lead the design, implementation, and optimization of ETL/ELT pipelines to integrate data from multiple internal and external sources.
Ensure high standards for data quality, governance, integrity, and documentation.
Translate complex datasets into clear, actionable insights that support the different departments' needs and the company growth through operational excellence.
Support advanced analytics use cases including forecasting, experimentation (A/B testing), and performance measurement.
Review and elevate dashboards, reports, and analyses to ensure clarity, accuracy, and executive relevance.
Identify gaps in data collection and proactively propose solutions to improve visibility and decision-making.

Youll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At our company, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what our company has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
we are looking for a Computer Vision & Deep Learning Algorithm Developer to join us in research and development of our advanced sports video content understanding engines. If you are passionate about researching state-of-the-art solutions and have a keen eye for simple yet smart solutions - we are looking for you!
What youll do:
Research and develop comprehensive real-time solutions for understanding sports content, utilizing cutting-edge deep learning algorithms for video, audio, and multimodal data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

Youll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). At our company, you have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what our company has to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
The Team & Role we are looking for a talented AI Algorithm Developer to join us in the research and development of our next-generation automatic sports video content engine. Our team operates at the intersection of Computer Vision, NLP, and Audio analysis. We dont just use models; we build multimodal pipelines that understand sports context like a human editor would.
If you are an expert in one of these domains (NLP, CV, or Speech) and are eager to master the others to build state-of-the-art Multimodal AI - we are looking for you!
What youll do:
Research and develop end-to-end real-time solutions for sports content automation using state-of-the-art Deep Learning (LLMs, VLMs, Audio models, and Generative AI).
Collaborate with Computer Vision and Audio experts to fuse different data signals into unified models.
Combine deep language models, Generative AI, and classical ML techniques to create high-quality solutions for demanding product-oriented tasks.
Manage the full R&D cycle: from problem definition and reading papers to implementation, prompt engineering, and productization with high autonomy.
Engage in collaboration with product and success teams to convert business goals into measurable algorithmic objectives.
Write robust, production-grade Python code that scales.

we are looking for a Senior NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research - we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content generation automation using state of the art deep learning algorithms for text, speech, vision, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
In addition, part of the role & responsibilities will be:
Design, develop and implement state-of-the-art Generative models, prompt engineering and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
Conduct training and evaluation of models within practical production scenarios.

The AI team is building deep neural networks and computer vision algorithms for our smart-cart solution. Including identification of which product was inserted into the cart from a set of up to hundreds of thousands of different products in stores around the world.
The team includes Algorithm researchers and Data operations who together build a scalable training-pipeline, capable of training on millions of images for multiple tasks.
About The Role
Own the full development cycle - from researching a problem, defining the required dataset, implementing an efficient model, deploying it to production, and improving it upon real-world results.
You will work on computer-vision problems such as object detection, fine-grained classification, computational geometry, localization, tracking, and more.
Use, adapt and improve state-of-the-art implementations and adjust them to various project needs.

We are looking for a Silicon Engineering Manager

Job description:

As the Silicon Engineering Manager you will be responsible for improving silicon-photonics yield and performance through data-driven analysis, cross-functional collaboration and proactive issue resolution.

You will serve as the key interface between R&D, Process and Production teams, ensuring efficient data flow, rapid issue identification and continuous process improvement across wafer fabrication, device testing, and packaging stages.

We are developing state-of-the-art LiDAR sensors and advanced perception software for the automotive industry. We are looking for a Senior System Integration Engineer to join our fast‑paced, innovative team responsible for bringing complex LiDAR systems together into a cohesive, high‑performance product. This role is ideal for a hands‑on who thrives on multidisciplinary problem‑solving, system bring‑up, and driving features from early integration through customer delivery.
Responsibilities:
Lead system integration activities across the LiDAR development lifecycle, from initial bring‑up through validation and customer deployment.
Integrate hardware, firmware, software, tools and algorithms into a unified LiDAR system, ensuring seamless functionality across disciplines.
Plan and execute system‑level integration tests, debug complex issues, and drive root‑cause analysis with cross‑functional teams.
Develop and maintain integration workflows, test setups, and automation tools to accelerate development and validation.
Collaborate on requirements refinement, system architecture discussions, and design reviews to ensure integration readiness.
Build Python‑based tools for data analysis, test automation, and rapid prototyping to support integration and characterization activities.
Support development processes aligned with Automotive SPICE and other automotive quality standards.

We are developing state-of-the-art LiDAR sensors and advanced perception software for the automotive industry. We are looking for a Senior System Engineer to join our fast-paced, innovative team developing LiDAR systems for autonomous vehicles. We are looking for a talented hands-on contributor and feature owner, to lead multi-disciplinary systems development and integration, from KPI and data analysis and algorithm prototyping to customer delivery.
Responsibilities
Lead system engineering activities across the LiDAR development lifecycle, from concept through integration and validation.
Develop LiDAR features including algorithms, calibration methods and post-processing solutions.
Perform system-level testing, characterization and modeling.
Contribute to requirements definition, system design, and design reviews with cross-functional teams.
Develop Python- based simulations, prototypes, and automation tools for rapid proof-of-concept and laboratory equipment control.
Lead development processes according to Automotive SPICE standards.

Required Field Application Team Leader
About The Position
We supply safety-critical, high-performance LiDAR sensors for assisted driving systems, autonomous robotaxis, and various smart infrastructure applications. We are looking for a Field Application Team Leader for our Application Engineering group. In this pivotal role, you will lead a high-performing technical team based in both Israel and North America. You will be the technical authority bridging the gap between our cutting-edge LiDAR technology and our global customers in the automotive, robotaxi, and smart infrastructure sectors.
As a leader, you will ensure your team successfully performs demos and integrates our products into customer platforms, unblocks technical bottlenecks, and provides the feedback loop necessary for our R&D teams in Israel to maintain our market leadership.
Responsibilities:
Team Leadership: Manage and mentor a global team of Application Engineers (IL & US). Define KPIs, oversee professional growth, and ensure seamless collaboration across time zones
Technical Strategy: Define the best practices for product demonstrations, field testing, and customer integration workflows
Bridge to R&D: Act as the primary technical interface between the field (North America) and HQ (Israel) product, engineering, and validation teams
Customer Excellence: Oversee high-stakes technical engagements with automotive OEMs and robotaxi providers, ensuring top-tier support and rapid issue resolution
Resource Management: Prioritize team tasks to support both existing customer maintenance and new business opportunities (Sales support)
Hands-on Oversight: Jump into complex technical "firefighting" when necessary, providing expert guidance on HW/SW troubleshooting and system integration.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

Required Staff Algorithm Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Machine Learning Scientist, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Staff Machine Learning Scientist, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

As formal Verification Engineer you'll own verification tasks from planning through execution, collaborating with experienced engineers across multiple teams to ensure design quality while meeting challenging timelines of the Graviton product line. This is an excellent opportunity for motivated engineers to grow their formal verification expertise in a supportive, high-impact environment.

Key job responsibilities:
Plan and execute formal verification plans under guidance from senior engineers.
Develop formal test-benches for design modules.
Debug formal verification failures and analyze root causes.
Collaborate with design and verification teams to resolve issues.
Learn and apply new formal verification methodologies and tools.

Required Staff Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

we are looking for a Senior VLSI Verification Engineer to join the ride as we spearhead the next revolution in electronics!
Position location: in our Haifa or TLV offices, at least 2 working days at Haifa site (Hybrid model)
Responsibilities
Develop and maintain advanced verification environments using SystemVerilog and UVM, ensuring scalability, configurability, and reusability across multiple IPs.
Design, implement, and execute comprehensive testbenches and random test suites to validate functional correctness, robustness, and corner-case behavior of complex IP within various SoC integration environments.
Drive coverage closure by defining, collecting, and analyzing code and functional coverage metrics; identify verification gaps and ensure complete validation of feature sets prior to sign-off.
Lead debug and root-cause analysis efforts in collaboration with senior verification and design engineers, leveraging carefully crafted logs, waveform analysis and assertions to isolate and resolve design or environment issues.
Collaborate closely with architecture, design, and firmware teams to ensure verification completeness, alignment with design intent, and seamless integration at the system level.
Contribute to methodology and infrastructure improvements, including reusable UVM components, automation scripts, and best practices that enhance team efficiency and verification quality.