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We are now looking for a best-in-class Chip Design Verification Engineer to join our outstanding GPU-Networking Silicon Engineering team. As a DV Engineer in our GPU-Networking group, you'll make a real impact in a dynamic, technology-focused company while being a part of the team that develops the flagship product of todays semiconductor industry - our GPU Super-Chip.

What youll be doing:

Work in a DV (Design Verification) team that has a global responsibility over deliverable units and clusters to the silicon GPU.

Integrations and Full-Chip models.

Verification of chip blocks/entities according to specifications under challenging constraints.

Your daily work will involve all aspects of Design Verification : Planning, Coding, Coverage and Integration.

We are looking for a Market Researcher (Maternity Leave Replacement) to join our Data Department.
In this role, you will be responsible for leading and delivering a wide range of consumer and business research initiatives, including quantitative surveys and qualitative in-depth interviews. You will work closely with stakeholders across the organization to uncover actionable insights that support data-driven decision-making.
We are looking for someone with a strong mixed-methods background and the ability to integrate diverse sources of insights into clear business recommendations. You are passionate about understanding customer behavior and connecting research findings with data to generate meaningful business impact.
You are results-oriented, able to ask - and answer - meaningful and impactful business questions, a self-starter, and have demonstrated success in leveraging analytics to drive high-quality research outcomes.
This role requires the ability to work both independently and collaboratively within the broader Data Department.
Prior experience with Qualtrics is considered a strong advantage
This is a temporary maternity leave cover position. Future opportunities may be considered, depending on business needs.
What am I going to do?
Leading end-to-end research projects, including building a research plan, designing research tools, data collection and analysis.
Designing and executing quantitative surveys using a range of social sciences methods.
Conducting statistical analysis of surveys through the lens of business impact and growth.
Designing and executing qualitative research - customer in-depth interviews.
Communicating results to key stakeholders and distilling actionable recommendations to support decision making.
Collaborate closely with team members from the market research and data teams.
Working with internal partners (including product, marketing, business and data teams) to identify and prioritize knowledge gaps in our understanding, and act as an internal consultant on research results implementation.

Required Senior Algorithms Researcher
Tel Aviv
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.
As an Senior Algorithms Researcher, you'll join a team that explores the vast collection of relevant data and creates the optimization algorithms that drive our mass scale, complex, multi-dimensional automated dispatch.
What You'll Do:
Mathematically model the competing demands on our system.
Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
Use sophisticated statistical methods to analyze demand, traffic and fleet performance, and generate insights that inform algorithm development.

Required Algorithm Developer
Tel Aviv
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.
As an Algo Engineer, youll join our R&D center in TLV as part of the Algo Engineering group, which is responsible for the infrastructure and engineering that supports various algorithms that run in production on our live servers. The position requires deep knowledge of software engineering methodologies and modern infrastructure tools. You will maintain and improve current algo infrastructure, as well as develop new technical products and systems that support the various needs we have here. If youre a developer by heart and enjoy working on large-scale cloud infrastructure systems in an algorithms oriented hands-on environment, this position might be just for you!
What You'll Do:
Take full ownership of large scale cloud-based infrastructure and systems
Develop and maintain multiple mission critical services
Immediate effect over Via passengers and clients around the world, like making our booking application respond to users significantly faster.
Work in close collaboration with Devops teams and Algorithms researchers and researchers

Required Algo Researcher
Tel Aviv
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.
As an Algorithms Researcher, you'll join a team that explores the vast collection of relevant data and creates the optimization algorithms that drive our mass scale, complex, multi-dimensional automated dispatch.
What You'll Do:
Mathematically model the competing demands on our system.
Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
Use sophisticated statistical methods to analyze demand, traffic and fleet performance, and generate insights that inform algorithm development.

We are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team. We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.
Responsibilities
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

We are looking for a hands-on Senior Path Planning Algorithm Engineer to design and develop the core planning intelligence of our autonomy stack - responsible for generating safe, comfortable, and feasible driving paths in real-world environments.
This role is key to turning perception and world understanding into actionable motion, enabling robust and scalable autonomous driving for millions of vehicles.
Responsibilities:
Design and develop Path Planning algorithms for L2+ up to Eyes-Off autonomy
Build planning components such as:
path generation and refinement
constraint-aware planning (lane geometry, static/dynamic obstacles, traffic rules)
optimization-based planning and feasibility checks
Develop and improve planning modules integrated with our world model, digital twin, and edge-AI stack
Implement and optimize algorithms in C++ with real-time performance constraints
Work closely with perception, prediction, and control teams to define clean interfaces and ensure end-to-end robustness
Participate in architecture discussions, design reviews, and code reviews
Contribute to validation methodologies, scenario-based testing, and fleet-feedback loops
Analyze corner cases and improve robustness across diverse driving scenarios.

Required 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.