דרושים » תוכנה » Senior C++ Developer - Software Algorithm Department

We are seeking a highly skilled and detail-oriented Validation Engineer to evaluate the quality, correctness, and performance of our algorithms.
While test execution is part of the role, your primary focus will be to design and develop robust testing strategies, building validation frameworks, identifying critical gaps, and ensuring that our algorithms meet the highest standards of accuracy and reliability.
What will your job look like:
Proactively identify gaps in algorithm performance, logic, and quality. Think critically and deeply about edge cases, failure modes, and potential areas where algorithms might deviate from expected behavior.
Use analytical rigor to determine the most important validation priorities, balancing algorithmic accuracy with the urgency of business needs.
Develop and implement test frameworks to validate algorithm functionality, accuracy, and performance.
Identify gaps in algorithm logic, quality, and failure modes, conduct root cause analysis, and drive corrective actions.
Collaborate with the algorithm development team to define test strategies based on in-depth understanding of the algorithm logic and business requirements.
Innovate new testing methods, define and prioritize test strategies based on risk, impact, and business needs.
Apply analytical skills to solve complex algorithmic challenges and enhance reliability.
Identify opportunities for process improvements, automating manual workflows and introducing innovative approaches to algorithm validation.
Automate testing with CI/CD tools like Jenkins to ensure continuous validation.

The Surround-Perception group is dedicated to solving advanced vision problems, with a focus on 3D domain encompassing reconstruction and object detection. Our team research, develops, and deploys cutting-edge techniques to achieve world-class results, contributing to the safe advancement of Autonomous Driving.
We are looking for a hands-on Algorithms Team Leader to join our group and lead one of our algorithmic teams.
The position requires coming to the office in Jerusalem twice a week.
What will your job look like:
Lead a team of talented Algorithm Developers.
Lead the research and development of innovative Computer Vision and Deep Learning algorithms in areas such as Object Detection and Tracking, Depth Sensing, and 3D Reconstruction.
Bring state of the art algorithms to product quality, running in the Autonomous Vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team!
Which department will you join?
The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of our company's 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.
The group is comprised of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Mathematical modeling and abstraction of real-life problems.
Research, design and develop innovative algorithmic solutions.
Code design, implementation, and hands-on development.

You will be part of our company's REM department. our company's Road Experience Management (REM) is an end-to-end mapping and localization engine which is used for full autonomy capabilities and services.
Generating validation process and methodologies for such a technology giant is challenging, sufficient & enriching work.
Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities.
You will be responsible for defining and developing validation infrastructure, tools and methods using cutting edge technology and cloud-based application.
What will your job look like?
Participate in planning and implementation of advanced validation Processes
Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
Integrating new features into existing Validation Processes
Improving sensitivity, efficiency, effectiveness, and quality of validation processes
Management and prioritization of daily tasks
Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

The Surround-Perception group is dedicated to solving advanced vision problems, with a focus on 3D domain encompassing reconstruction and object detection. Our team research, develops, and deploys cutting-edge techniques to achieve world-class results, contributing to the safe advancement of Autonomous Driving.
What will your job look like:
Conduct research and develop innovative Computer Vision and Deep Learning algorithms in areas such as Object Detection and Tracking, Depth Sensing, and 3D Reconstruction.
Engage in cutting-edge Computer Vision projects, from the data science and research stages, through proof of feasibility to the deployment of solutions.
Performance-oriented deployment of Computer Vision and Deep Learning algorithms on a Real-Time embedded chip for autonomous driving.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Continuously learn and stay updated on the latest advancements in relevant research fields that impact our daily work.

Which department will you join?
You will be part of the Product Validation department, which is responsible for delivering high-quality AV (Autonomous Vehicles Systems) products. We are the first line of support for our company's customers around the globe.
As an Automation and BI Engineer, you will interact with most of our company's departments to develop state-of-the-art automation suites based on a thorough understanding of product behavior.
What will your job look like:
You will be working on a variety of aspects of the autonomous vehicle, on the junction between software and hardware.
You will be developing, integrating and executing automated tests for the autonomous vehicle.
You will work in a multi-tasked, dynamic and diversified environment.
You will have actual responsibility and impact on the autonomous vehicle.
You will use a variety of BI platforms to develop dashboards and build internal tools
You will contribute to building AI-based analysis that will improve the team efficiency.

You will join a collaborative team dedicated to researching and developing advanced neural networks critical to our companys key products. We are recruiting for several teams, offering you the opportunity to work on vision-related tasks such as segmentation, object detection, classification, regression, as well as 2D and 3D vision technologies.
In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions, enhancing the performance of existing ones, and participating in innovative, cross-organizational initiatives.
This position offers the opportunity to be part of a fast-paced, forward-thinking environment while leading projects with a strong emphasis on cross-functional collaboration, ensuring that our solutions meet the needs of our autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS).
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.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

our company's AV Group is looking for an Integration and CI Engineer to help shape the future of autonomous driving. Join our dynamic team of talented engineers responsible for delivering cutting-edge Autonomous Vehicle (AV) applications, advanced control systems, and simulation environments that drive our companys groundbreaking L2+ to L4 autonomous platforms.
What will your job look like?
Manage version releases and ensure timely delivery of AV products to stakeholders
Utilize Git and GitLab for version control to manage and track changes in the software development lifecycle
Collaborate with developers to integrate software components into a cohesive whole
Analyze source code and test scenarios to identify, prioritize, and resolve integration issues
Debug issues in the production platforms, which may involve multiple domains
Build robust CI solutions utilizing Git, GitLab, Python, Shell scripting, Jenkins, and Docker
Develop and maintain scripts and pipelines for diverse development and validation teams
Contribute to the enhancement and development of our AV infrastructure and core code.

We are seeking a Senior Researcher to join our LTX Render Lab team at our company. This team is responsible for developing cutting-edge 3D technology to power state of the art video generation, enabling immersive and dynamic content creation. As a key member of the team, you will lead research efforts in 3D reconstruction, dynamic scene interaction, and multi-view video consistency, driving the transition from early prototypes to scalable, production-ready solutions.
What you will be doing
Conduct applied research in 3D reconstruction, scene creation, and animation.
Develop algorithms for placing characters and objects dynamically within 3D spaces.
Explore multi-view video consistency and advanced camera control for scene animation.
Optimize research code for scalability and real-time performance.
Collaborate with engineers, designers, and product managers to integrate 3D capabilities into user-facing features.
Stay up to date with cutting-edge academic research and apply relevant innovations to production.
Write high-quality code, ensuring research solutions are optimized for real-world applications.
Mentor junior researchers and contribute to knowledge-sharing initiatives within the team.

The Core Generative AI team at our company is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and deeply understanding supercomputer performance. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.
Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.