דרושים » הנדסה » expert deep learning Research Engineer - road detection

We are global leader in autonomous vehicle (av) technology. if youre an experienced deep learning Developer driven by a passion to shape the future of mobility, join us to make av a reality. the 3d perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. our end-to-end temporal network fuses multi-view cameras into a unified 3d sensing state that powers planning.
what will your job look like?
develop, implement and optimize state-of-the-art transformer-based temporal vision models
extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding
work shoulder-to-shoulder in a large, collaborative group
research and integrate the latest advancements in 3d detection and perception
improve algorithmic performance through rigorous experimentation and innovation
work with large-scale datasets
research new advances in the field from the literature and industry.

Our 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 self-driving car, crowd-sourced hd maps, and advanced driver-assistance systems. 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.
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 a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, algorithm developers work at the forefront of av/adas innovation - designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C ++.  algorithm developers join a variety of teams across a broad range of domains. this role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. 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

you will be part of rem department. road experience management (rem) is an end-to-end mapping and localization engine. its being used for full autonomy capabilities and services, generating validation processes and methodologies for such a technology giant is challenging, sufficient. 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. our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of Big Data. what will your job look like:
lead and hands-on drive the teams transition toward extensive and effective use of automation, including implementing automated solutions, improving existing workflows, and actively supporting the team in adopting automation as part of daily development and testing activities
manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
participate in the planning and design of advanced validation processes.

join us autonomous vehicle group as a software engineer and be part of revolutionizing the way vehicles operate, from accident prevention to fully autonomous driving. this role may offer a flexible work arrangement with 2 days in petach tikva/ ramat gan and 2 days in jerusalem. what will your job look like?
development of the av applications (add new features, improve the design, literature review as needed, etc.)
maintenance of the av applications (address bugs and issues for internal and external customers)
development and automation of the surrounding tools

our platform sw department is looking for a highly driven and dynamic sw customer engineer to join our team and help shape the future of autonomous driving systems.
our team ensures fast and successful integration of mobileye's technologies in customers solutions (car manufacturers / tier1), from the design phase to a car launch, while working closely with internal r&d teams. we're looking for a strong, hands-on, software engineer who is passionately motivated by challenges and excels in troubleshooting hard, complex problems. what will your job look like?
you will work directly with mobileye's development teams on integration into the car manufacturer's system from a Real-Time, safety-critical system aspects.
you will be responsible to provide quick and professional analysis and troubleshooting of advanced customer issues.
support new boards bring up: coding, integration, unit TEST and customer support..
integration with various Embedded systems

the operating system team is looking for a highly talented Embedded sw integration engineer with a passion for operating systems and Linux in specific.
the team is developing the boot and operating system sw for autonomous vehicle and smart advanced driver assist platforms. what will your job look like?
hands-on debugging and testing of os and related components (boot, hw initialization, device drivers, Linux Kernel, user space libraries and tools & automated tests in Python ).
deep understanding of the involved os/boot components and their integration with other sw/hw modules involving testing automation and system level validation.
closely work with members of the boot and os development teams to integrate, TEST and automate new features, components and systems.
release & feature management in a multi-project and multi-disciplinary environment while managing ci systems for testing coverage.

as an information systems business applications & integration Developer, you'll be an integral part of the esc and integration team and you will design, develop, implement, support, and act as a key professional authority within the team. we are looking for a strong, hands-on Developer to design and build integrations, using the iconduct platform as our primary integration tool. the role will also include ongoing development and enhancements across additional application systems, while serving as a central professional lead within the team, driving technical excellence and contributing to the units overall delivery and growth. what your job will look like?
a hands-on Developer creating ongoing integrations, scripts, and automation with the growing mobileye ecosystem.
build an integration architecture for all information systems and execute them.
collaborate with teams across the organization to gather requirements to improve their day-to-day work.
participation in discussions and meetings regarding best practices for building integrations.
maintaining the integrity and smooth functioning of the company's integration architecture.
leverage ai-based tools and technologies to enhance automation, optimize integrations, and improve system efficiency.

we are seeking a highly skilled systems integration and Validation engineer to join our dynamic team in the automotive industry. the ideal candidate will have a strong background in system development, integration, and testing, with at least 5 years of relevant experience. as an integration engineer, you will play a key role in integrating and validating a complex automotive system, ensuring they meet the highest standards of quality, performance, and reliability. what will your job look like:
system integration: collaborate with cross-functional teams to integrate various subsystems and components into a cohesive automotive system, ensuring compatibility and functionality.
risk management: identify potential risks and issues related to system design and implementation, and develop mitigation strategies to ensure project success.
documentation and reporting: create comprehensive documentation, including system designs, TEST reports, and technical specifications. provide regular progress updates and reports to management and stakeholders.
testing and validation: develop and execute TEST plans and procedures to validate system performance, reliability, and safety according to industry standards and regulations.

Required Research Scientist - LTX Model Quality
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-Applications team.
As a Research Scientist in the LTX Model Quality team, you will play a key role in elevating the quality, controllability, and alignment of our video generation model. This role focuses on the critical post-training phase-developing and implementing techniques such as preference optimization, reward modeling, and human feedback integration to refine model outputs. You will design robust evaluation frameworks, define quality metrics, and build systematic approaches to identify and address model failure modes. Your work will directly impact the quality of the videos we generate.
What you will be doing
Develop and implement post-training pipelines, including RLHF, DPO, and other preference-based optimization techniques for video generation models.
Fine-tune and control VLLMs for video and audio understanding.
Design and iterate on quality evaluation metrics and frameworks.
Conduct systematic failure mode analysis and develop targeted interventions to address quality gaps.
Build and curate high-quality preference datasets and evaluation benchmarks that capture nuanced aspects of video generation quality.
Collaborate closely with fellow researchers to establish tight feedback loops between human judgment and model improvement.