לוח משרות דרושים מדעים מדוייקים בתל אביב יפו

We operate in true startup mode: fast-paced, ambitious, and deeply technical. The project is complex and schedule-challenging across architecture, RTL, verification, and system design and we are looking for a Senior Verification Engineer who wants to work hard, move fast, and help build something truly new.

The Senior Verification Engineer will join a high-end team responsible for verifying a high-performance controller ASIC at the core of this new computational paradigm.

Your Day to Day:
Define, architect, and develop advanced verification environments and flows using SystemVerilog UVM.
Build block-level, subsystem-level, and full-chip verification environments with reusable methodology.
Develop coverage-driven verification strategies and automation infrastructure.
Work closely with design, architecture, algorithms, and software teams to define functionality and corner cases.
Drive testplan creation, functional coverage definition, and closure across multiple complex blocks.
Debug intricate logic interactions, multi-clock structures, and high-speed data paths.
Contribute to verification methodology, tooling, infrastructure, and continuous improvement.
Participate in a fast-moving, startup-style environment where deep technical ownership and rapid iteration are essential.

A Product Analyst plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.

What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

Required Senior Deep Learning Algorithm Researcher - Air2Road Localization
Description
Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

Requied Deep Learning Algorithm Developer - ADAS group
Description
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

we are looking for a Data Analyst to join our team.
The Data Analyst must have the ability to strategize, analyze and interpret business data to identify key insights and provide recommendations.
The successful candidate should have a proven track record of success in the field of business analytics
Responsibilities:
You will work with various internal & external datasets to extract insights and deliver actionable recommendations.
You will use your set of analytical skills, data mining techniques and statistical tools to identify trends, opportunities and threats that will support our growth.
You will communicate your findings to management and work closely with business leaders.
You will Design, execute and monitor ETL flows via SQL (dbt is our data tool).
You will Visualize data with dashboards to address key questions for the companys in-house teams like Sales, Marketing, CSM, Growth, and more.

We are looking for a Machine Learning Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.

As a Tech Lead on the ML team , you will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle managementthe foundation of our product.

Responsibilities:

Partner with MLEs in Data Science product teams and key stakeholders to design and maintain infrastructure for:
Data wrangling supporting and enabling data requirements for research, training, validation, and testing.
End-to-end ML delivery enabling model performance development, training, validation, testing, and version control.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.
Build and support monitoring and observability tools dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as:
Feature Store centralizing feature engineering and serving across teams.
Vector Databases enabling large-scale embedding storage and retrieval for advanced ML applications.
GPU Cluster Scaling optimizing distributed training and inference infrastructure.
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.

Were looking for an inquisitive, detail-oriented Product Analyst to join our Platform Services data team. Youll play a key role in driving product development by collaborating with cross-functional teams and delivering actionable insights based on user behavior and product performance.

As a Product Analyst you will
Partner with product managers, developers, marketing, sales, and UX researchers to identify opportunities for improving product experience and trial conversion.
Analyze user behavior throughout the customer lifecycle from onboarding and engagement to feature adoption and retention.
Define KPIs and core product metrics; build scalable dashboards to support data-driven decisions.
Evaluate the performance of product features and trials, and identify areas for optimization.
Provide insights, onboarding improvements, and sales funnel refinement.
Communicate findings clearly with stakeholders using compelling data storytelling and visualizations.
Support data infrastructure by collaborating with data engineers to optimize data pipelines and ensure data reliability.

We are looking for a Game Economy Manager to join our team. In this role, you will be responsible for designing and controlling the game economy systems for one of our top-grossing mobile games.

Responsibilities
Work closely with product & monetization teams to design and implement new game content, features, and live ops
Model and balance complex systems in the game, to maintain a healthy and growing game economy
Monitor, tune, and price the game features and in-app purchases for driving player engagement and optimizing different KPIs
Balance customer experience and revenue opportunity for in-game currency and virtual goods.
Perform data analysis, A/B testing, and advanced modelling for game systems and player experiences

We are looking for a Game Economy Manager to join our team. In this role, you will be responsible for designing and controlling the game economy systems for one of our top-grossing mobile games.

Responsibilities
Work closely with product & monetization teams to design and implement new game content, features, and live ops
Model and balance complex systems in the game, to maintain a healthy and growing game economy
Monitor, tune, and price the game features and in-app purchases for driving player engagement and optimizing different KPIs
Balance customer experience and revenue opportunity for in-game currency and virtual goods.
Perform data analysis, A/B testing, and advanced modelling for game systems and player experiences