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we are looking for a Machine Learning Software Engineer, who will be challenged by bridging the gap between cutting-edge machine learning research and robust production deployment.
In this position, you will combine software engineering expertise with machine learning deployment knowledge, responsible for taking our algorithms and developing robust production solutions that serve them at scale.
The work at algorithms department is fast-paced and requires staying ahead of the curve with the latest engineering solutions and best practices adopted across the ML community, while staying informed about emerging solutions in both computer vision and NLP domains and understanding the specific problems they address.
What will your job look like:
Your role will include developing production deployment systems for classical and machine learning algorithms from research and building robust, scalable inference pipelines.
You will develop primarily in Python and infrastructure tools (Kubernetes, Docker, etc.), taking part in both maintaining existing deployment systems and developing new production capabilities.
Finally, you will need to learn and implement new deployment technologies and best practices that can address emerging production challenges as they arise, while staying current with the latest MLOps and inference optimization techniques.

we are looking for a Outstanding Graduate Algorithm Developer.
Algorithm developers at Mobiley contribute to diverse areas of innovation, including:
Detection: Developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
Object Modeling: Developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
Geometry: Developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3D object placement, tracking, and other core perception tasks.
Mapping: Developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
3D Perception & Sensor Fusion: Designing algorithms for 3D reconstruction and multi-sensor reasoning to accurately model and understand the driving environment.
What will your job look like?
Your job will include a combination of algorithm development and programming in Python and C++
Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently
Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment
Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions

ourSoftware Group is looking for an experienced Python Infrastructure Tech Lead to join our Software Infrastructure Team.
Our group is responsible for the full software stack running in the vehicle, as well as the development tools and infrastructure that support it. We build and maintain a large-scale automation and infrastructure platform that serves multiple engineering teams across .
In this role, you will lead the architecture, design, development, and maintenance of high-quality Python-based infrastructure and applications. You will collaborate closely with software engineers, system architects, and project stakeholders to deliver robust, scalable, and innovative solutions that directly impact core automotive technologies.
What Will your Job Look Like?
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Take ownership of system architecture and technical design, from high-level design to implementation.
Collaborate with cross-functional teams to define, design, and ship new features.
Develop and maintain Python applications for various projects.
Optimize applications for maximum speed.
Write clean, efficient, and well-documented code.
Troubleshoot and debug issues as they arise.
Stay up-to-date with the latest industry trends and best practices.
Help shape a structured, collaborative, and improvement-driven engineering culture.

Join our advanced packaging team to define and develop cutting-edge semiconductor package solutions for automotive-grade digital and RF System-on-Chip (SoC) products.
Youll collaborate with internal teams and external OSATs to deliver high-performance, manufacturable, and reliable packages that meet stringent automotive standards.
What will your job look like:
Define and specify advanced package architectures for digital SoCs and RF ICs in automotive applications.
Perform substrate design for flip-chip BGA (FC-BGA) packages, including stack-up, routing, and ball-out optimizations.
Evaluate and select substrate technologies, materials, and package solutions based on performance, cost, and reliability.
Collaborate with OSATs to define and validate assembly materials and process flows.
Work closely with internal teams such as Backend, SIPI, Product Engineering, and Quality & Reliability to ensure seamless integration.
Monitor yield, quality, and manufacturability across package development and production stages.
Support DFM reviews and ensure compliance with automotive standards and customer requirements

As a Quality and Reliability (Q&R) Engineer, you will lead the qualification and long-term reliability of advanced System-on-Chip (SoC) and RF semiconductor products for automotive applications. Youll work across digital and RF domains to ensure robust performance and compliance with industry standards.
What will your job look like:
Define and manage Quality and Reliability specifications, simulations, and qualification plans for SoC and RF die and package.
Plan and execute automotive-grade qualifications per standards such as AEC-Q100, JEDEC JESD22, and IATF 16949.
Design and implement die-level and package-level stress tests.
Select and prepare electrical, environmental, and mechanical test platforms for reliability testing.
Define requirements for Pre-Si Q&R (e.g. ESD, LU, EM, IR drop), Design-for-Test (DFT), electrical characterization, and Post-Si Q&R testing of digital, mixed-signal and RF SoCs.
Collaborate extensively with internal design teams, external subcontractors, and outsourcing partners (OSATs).
Lead failure analysis, reliability modeling, and corrective action processes (e.g., 8D, FMEA, FMEDA).
Document and certify automotive standards compliance, including PPAP/APQP deliverables.

we are looking for a Senior Algorithm Developer.
Algorithm developers contribute to diverse areas of innovation, including:
Detection: Developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
Object Modeling: Developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
Geometry: Developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3D object placement, tracking, and other core perception tasks.
Mapping: Developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
3D Perception & Sensor Fusion: Designing algorithms for 3D reconstruction and multi-sensor reasoning to accurately model and understand the driving environment.
What will your job look like?
Your job will include a combination of algorithm development and programming in Python and C++.
Work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
Take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

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 self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
The group is primarily focused on the decision-making module of 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:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

We are seeking an experienced Backend and Platform Engineer to join our Cloud-Compute Platform team. This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, debug, and optimize complex systems operating at huge scale.
What your job will look like:
Design, build, and maintain high-throughput backend components that serve as the backbone of our mapping activity.
Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
Take a major part in technical design and decision-making, balancing performance, scalability, maintainability and cost-effectiveness.
Collaborate with other teams to improve platform integration, ensuring the system is both scalable and developer-friendly.
Elevate the team's technical bar through design reviews and mentoring junior engineers.

we are looking for a Senior Deep Learning Algorithm Developer.
the 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 a Senior Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment

we are looking for a Senior DevOps Engineer - ML Platform.
AI Engineering's ML-Platform team goal, is to deliver a modern infrastructure and solutions to enhance Algorithm development life cycle and shorten our delivery times. We are an independent group, consisting of excellent and experienced engineers with diverse skills in algorithms, software, and infrastructure. We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products.
We develop cross-company products that enable the research and deployment of state-of-the-art algorithms.
What will your job look like?
Build and maintain infrastructure for large‑scale AI and HPC workloads across on‑prem and cloud environments
Operate and enhance our multi‑cloud, multi‑cluster scheduling platform
Develop automation, tooling, and platform services und Bash
Troubleshoot complex issues across the stack: compute, networking, storage, orchestration, and distributed systems
Improve reliability of critical systems
Collaborate with ML, data, and backend teams to support evolving platform needs
Drive best practices in CI/CD, infrastructure-as-code, and system design
Participate in on‑call rotations for critical infrastructure components

Were looking for a highly skilled Full Stack Developer to join our engineering team. In this role, youll design, develop, and maintain both backend and frontend systems that power production and internal applications.
Youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms.
What will your job look like?
Design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
Build rich, responsive user interfaces using React, Angular, or Vue.
Develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and solid data modeling.
Support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
Build, containerize, and deploy applications using Docker and Kubernetes in Linux-based setups.
Implement and maintain CI/CD pipelines using GitLab CI for automated testing, integration, and deployment.
Work with AWS services to deploy, monitor, and scale cloud-based applications.
Contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
Collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.
All you need is:

we are looking for a Senior HW System Architect.
As a Senior HW System Architect, your role will be to work closely with our OEM partners and realize a successful integration of the ADAS to self-driving technology in these platforms.
** This role requires working from our Jerusalem site at least 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Lead end-to-end life cycle of the System architecture - from analyzing OEMs (customers) technical requirements to HW architecture definition, development and verification to ensure integration ofproducts into the vehicle platform.
Work in close collaboration with various groups including algo, HW design, verification, SW architect, Mechanics, and simulations.
Provide architectural guidance and tradeoff recommendations throughout the whole design process from concept through production.
Responsible for the main components selection and technical evaluation (trade-off between cost/performance etc.)
Provide practical system architecture definition to board designers and SW/algo by managing system external Interconnects and internal interfaces, SoC, MCU, definitions and optimization (based on OEMs requirements and other constraints)

we are looking for a Senior HW System Architect.
As a Senior HW System Architect, your role will be to work closely with our OEM partners and realize a successful integration of the ADAS to self-driving technology in these platforms.
** This role requires working from our Jerusalem site at least 1 day per week. It also offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like?
Lead end-to-end life cycle of the System architecture - from analyzing OEMs (customers) technical requirements to HW architecture definition, development and verification to ensure integration of products into the vehicle platform.
Work in close collaboration with various groups including algo, HW design, verification, SW architect, Mechanics, and simulations.
Provide architectural guidance and tradeoff recommendations throughout the whole design process from concept through production.
Responsible for the main components selection and technical evaluation (trade-off between cost/performance etc.)
Provide practical system architecture definition to board designers and SW/algo by managing system external Interconnects and internal interfaces, SoC, MCU, definitions and optimization (based on OEMs requirements and other constraints)