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We are seeking a Customer Support Specialist, reporting to the Support Team Leader, who can resolve customer queries, recommend solutions and guide product users through features and functionalities. This position will assist Candexs internal and external customers with platform related questions via our ticketing system process and triage incoming tickets, develop and maintain a professional level of proficiency with Candexs specific systems and technologies.
To be successful in this role, you should be an excellent communicator who's able to earn our clients trust, demonstrate excellent time management skills and be passionate about customer service and self-improvement. An ideal candidate should be a great brand ambassador who is willing to go the extra mile to ensure customer satisfaction.
This role is hybrid, working from our location in the bursa in Ramat Gan, Israel. Schedule is Mon - Fri, 9am-6pm (Friday/work from home).
Responsibilities:
Onboarding new users to the system, including user adoption
Administration of pending orders and payments
Reconciliation of all company orders to confirm the correctness of data
Identification of areas of improvement, both in process and product
Promptly responding to customer queries via ticketing system, emails, phone
Liaising with colleagues or managers to find the best solutions to customers issues
Identifying common problems and escalating them to management, along with possible suggestions for improvement, wherever possible.
Obtaining and sharing customer feedback with colleagues and other departments so that products and services can be improved
Oversee and address any support and/or technical issues associated with clients and suppliers throughout interactions

We are seeking a Customer Support Specialist, reporting to the Support Team Leader, who can resolve customer queries, recommend solutions and guide product users through features and functionalities.
This position will assist internal and external customers with platform related questions via our ticketing system process and triage incoming tickets, develop and maintain a professional level of proficiency with specific systems and technologies.
To be successful in this role, you should be an excellent communicator who's able to earn our clients trust, demonstrate excellent time management skills and be passionate about customer service and self-improvement. An ideal candidate should be a great brand ambassador who is willing to go the extra mile to ensure customer satisfaction. This role is hybrid, working from our location in the bursa in Ramat Gan, Israel.
Responsibilities:
Onboarding new users to the system, including user adoption
Administration of pending orders and payments
Reconciliation of all company orders to confirm the correctness of data
Identification of areas of improvement, both in process and product
Promptly responding to customer queries via ticketing system, emails, phone
Liaising with colleagues or managers to find the best solutions to customers issues
Identifying common problems and escalating them to management, along with possible suggestions for improvement, wherever possible.
Obtaining and sharing customer feedback with colleagues and other departments so that products and services can be improved
Oversee and address any support and/or technical issues associated with clients and suppliers throughout interactions

Required Technical Coordinator - Autonomous Vehicles Core Platforms
Ramat Gan
Full time
Autonomous Vehicles Core Platforms delivers foundational technologies enabling scalable, high-performance AV solutions. As complexity and cross-functional dependencies grow, strong governance and alignment are essential for execution success. This Technical coordinator acts as a key enabler, driving structured planning, transparency, and consistency while ensuring alignment between strategy and execution to support sustainable delivery and future growth.
What will your job look like:
Drive coordination between group management and cross-functional teams to ensure alignment on priorities, milestones, and deliverables.
Lead planning activities across the group, maintaining visibility on execution status, risks, and dependencies.
Ensure structured follow-up across initiatives, tracking commitments and supporting timely delivery.
Define, implement, and promote standardized processes to improve efficiency, clarity, and scalability.
Lead knowledge management, training, and documentation initiatives to strengthen organizational maturity and continuity.
Maintain management reports and key performance metrics to enable data-driven decision making.

We are looking for a Safety Architect to our the Safety team, developing novel approaches to assess and promote autonomous vehicle (AV) safety.
Safety is a core decision driver at the highest level of our development and business strategy, directly impacting project timelines and approval for our most advanced programs.
Demonstrating that an autonomous vehicle is safe is a cutting-edge challenge. It requires a deep understanding of the entire AV system, the development of robust methods and tools to support this goal, and active engagement with the automotive industry to build broad acceptance of our approach.
What will your job look like?
Analyze the SW architecture and identify safety-critical areas, define the safety requirements and work closely with R&D teams to reach the best solutions
Support the SW system architecture definition of the automated driving system
Define the safety requirements for high-level components of the autonomous vehicle products including driving applications, image processing, memory management, error handling
Act as a POC for R&D teams in terms of Safety and embed the Safety culture, train and guide safety ambassadors within the teams
Proactively support our position with customers during business development activities and during the execution of production projects.

We are looking for an Algo Product Manager for a super interesting & challenging position in managing our Multi sensor Perception Geometry Products for autonomous vehicles (AV) and for the latest advanced driving assistance systems (ADAS) for most of the automotive companies in the world.
Join us in leading the AV market and protecting most new cars globally!
What will your job look like:
Technical product manager for both AV and ADAS perception products utilizing our advanced vision technologies:
Edge DNN based, real-time and mission critical product lines spanning all our HW, including the latest design challenges in the AV market
Internal and external large scale customer base
Unique challenges - both research and agile oriented role, impacting most of our various product offering
Define and manage our core product requirements
Own the Product Roadmap and work with internal and external stakeholders to create a plan based on our strategies and leading Car OEM's requirements
Lead KPIs definition and reviews
Generate and maintain accurate and up-to-date documentation for both internal and external stakeholders
Lead and facilitate internal product design discussions with the technology managers
Joint work with lead car manufacturers, including workshops, test drives and functional tuning.

Required Transformer-Based Deep Learning Algorithm Developer
Ramat Gan
Full time
Join our Perception Solutions team and take part in building a new, impactful project from scratch, shaping the next generation of autonomous driving technology!
Our team is project-oriented, working on significant computer vision challenges and solving them with cutting-edge neural networks combined with heuristic solutions.
In this role, you will join right at the beginning of an end-to-end development cycle. You will leverage advanced approaches, including Transformer-based architectures, to enable direct vision modeling beyond traditional image-processing pipelines.

We are looking for a Senior PCB Design layout Engineer to join our Hardware engineering team at the Autonomous Vehicle Platform department as a key player in the development of next-generation ECU (electrical control unit) for autonomous vehicles.
What will your job look like?
Working closely with hardware and mechanical design engineers, you'll perform PCB layout our ECUs and other products.
Complete development of CAD layout from footprint definition, detailed component placement, constraints management, with a concept of topology and signal and power integrity.
Be responsible for the design releases required generation of artwork files, ODB++, FAB drawings, ICT report, and electronic PCB documentation.
Your designs will need to follow IPC class 3 , signal and power integrity constraints, EMI/RFI control and automotive regulations.

Required Senior ML Data Engineer
Ramat Gan
Full time
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

We are looking for a Senior Hardware Engineer to join our AV Platform HW Development group in Israel to design the next generation of autonomous driving systems.
What will your job look like?
Responsible for specifying the hardware for our autonomous driving systems
Lead the HW design process: product specification, electrical schematics, component selection, layout, hands-on testing in a lab environment, verification, accompanying production and qualification processes
Define Signal integrity simulations (LPDDR4, MIPI, FPD-link, etc.), perform power integrity (DC drop, PDN AC analysis) and analog simulations (like spice).
Manage the technical interface with our customers to derive the product hardware requirements
Work in collaboration with all the project disciplines: system architecture, mechanical and thermal, software (networking and algorithms), safety and reliability.

Required Senior Deep Learning Researcher
Ramat Gan
Full time
We are a pioneering force in the autonomous vehicles (AV) industry.
Join us to build the brain behind the car - a large-scale, multi-task neural network that powers the core of our autonomous stack.
Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.
From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If youre a brilliant, hands-on researcher with a passion for shaping the future - this is your launchpad.
Why us?
Our team is at the forefront of our most advanced AI efforts.
As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
If youre seeking a high-impact role among top-tier researchers and developers - this is the place to be.

Required Senior Deep Learning Algorithm Developer
Ramat Gan
Full time
A global leader in autonomous vehicle (AV) technology, pioneering advanced driver-assistance systems (ADAS) and self-driving solutions.
Across the company, Senior Deep Learning Algorithm Developers work at the forefront of AV/ADAS innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. This includes working with large-scale datasets, leveraging frameworks like PyTorch or TensorFlow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios.
Senior Deep Learning Algorithm Developers contribute across multiple AI domains, with most opportunities in Computer Vision and additional roles in areas such as NLP/LLMs and 3D Perception (Radar, LiDAR, Fusion). This role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact.
What will your job look like?
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Analyze large datasets to improve algorithm performance and robustness.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

We are looking for an experienced Software and Integration Engineer to join the CTO group and take a key role in delivering robust, large-scale autonomous driving software.
The group is primarily focused on the decision-making module of our self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
In this role you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
What will your job look like:
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
Manage the groups software delivery, ensuring timely, high‑quality releases.
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
Working closely with external algo teams and various departments for requirement gathering and the correct integration of new features.

We are looking for an experienced Deep Learning Algorithm Researcher with a strong focus on Reinforcement Learning to join the CTO Group.
Our CTO Group is a small, elite research and development group responsible for shaping the next generation of algorithmic solutions powering our autonomous driving systems, crowd-sourced HD maps, and advanced driver-assistance technologies.
The role focuses on building a learning-based planning system that has never been deployed at this scale before, leveraging Reinforcement Learning to address complex, interactive driving scenarios. You will work on policy decision making that provides a holistic, system-level view of autonomous behavior, while tackling a deeply challenging technological problem- taking ideas from research to real vehicles, developing algorithms, retraining models, validating results, and seeing the impact on the road within short development cycles.
This is a unique opportunity to take part in early-stage, high-impact projects, develop proof-of-concepts using cutting-edge technologies, and influence our long-term technological direction.
What will your job look like:
Develop and optimize Reinforcement Learning-based planning algorithms, including network architectures, reward design, and training processes.
Apply RL to complex, interactive driving scenarios, complementing classical planning where deterministic approaches fall short.
Work with large-scale simulation environments to enable learning through interaction and diverse policy behaviors.
Prototype algorithms in Python and migrate performance-critical components to efficient C++ / GPU-accelerated implementations.
Take part in fast, iterative development cycles, collaborating closely with the CTO and the team to validate ideas and demonstrate working solutions.

Our CTO Group is looking for an outstanding Physical-AI Applied Researcher to join our team.
The CTO Group is a small, elite research unit shaping the next generation of algorithmic foundations behind our autonomous driving systems. The group operates at the core of the decision-making and planning stack, addressing some of the most challenging problems in real-world autonomy.
We are seeking a researcher who thrives at the intersection of machine learning, decision-making, and algorithmic rigor - someone who is excited about advancing learning-based approaches for safety-critical, large-scale physical systems.
In this role, you will develop novel approaches for planning and decision-making in interactive, multi-agent driving environments. You will combine deep & reinforcement learning with classical algorithmic structure and formal reasoning. The problems are open-ended, scientifically challenging, and deployed at unprecedented scale.
This is a rare opportunity to conduct high-impact applied research, taking ideas from theory and papers into real-world autonomous systems at scale. If youre excited about pushing the boundaries of learning-based decision-making, wed love you to join us and help shape the future of Physical AI.
What will your job look like:
Design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
Advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
Integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
Formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
Lead research directions from conception to full-scale production.
Develop using Python (PyTorch or similar frameworks) as well as C++/GPU/Cuda.