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We are seeking a talented Computer Vision / ML Researcher to develop diffusion-based generative models for video restoration in new imaging systems. The role will focus on large, high-quality models that restore degraded video while preserving fidelity, detail, motion, and temporal consistency. You will be part of an interdisciplinary team developing technologies that will shape our future products.
Deep hands-on experience with diffusion models is required. The ideal candidate has worked on diffusion-based image or video models and has a strong research track record, ideally including publications on diffusion, generative vision, video models, restoration, or inverse problems.

Deep learning development: Design, train, evaluate, and optimize deep learning models for video restoration tasks such as denoising, deblurring, artifact removal, super-resolution, detail recovery, and temporal stabilization. Work with large-scale video datasets, synthetic and real degradations, and rigorous evaluation pipelines.
Research: Develop and adapt diffusion models for video restoration, including video diffusion, DiT-style architectures, latent diffusion, conditional diffusion, diffusion for inverse problems, and efficient sampling. Analyze results, compare against leading methods, and investigate approaches for fidelity preservation, hallucination control, temporal consistency, distillation, and production-quality inference.
Collaboration: Work closely with ML researchers, engineers, and cross-functional teams to translate research ideas into robust models and practical systems.

we are at the forefront of developing autonomous driving systems with leading OEMs, by integrating our company state-of-the-art ECUs into various vehicles.
We are seeking a Embedded Systems Software Architect to own the technical direction of our embedded software platforms. This role combines hands-on development, system architecture, and technical leadership, guiding a team of embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products.
You will act as the technical authority for embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions.
What will your job look like?
Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
Drive key technical decisions, architectural trade-offs, and long-term roadmap.
Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
Take ownership of complex system-level debugging, performance optimization, and software quality.
Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

Join our company's REM (Road Experience Management) department - the team driving the automatic creation of High-Definition maps, a cornerstone technology behind our company's autonomous driving and advanced driver-assistance systems.
REM map creation leverages cutting-edge algorithms executed at massive scale using Big Data technologies, requiring both a deep understanding of the map creation pipeline and strong technical expertise.
You will be part of our Priority Semantics algorithmic team, focused on understanding right-of-way rules and interactions derived from traffic signs, road structures, and driving behavior.
The team uses cutting-edge technologies, including Graph Neural Networks (GNNs) and data-driven learning techniques, to model complex driving scenarios and extract meaningful insights from large-scale real-world driving data.
This role requires a deep understanding of the data itself, modeling complex semantics, and extracting insights using learning-based approaches to accurately represent real-world driving priorities.
What will your job look like?
Design, train, and evaluate cutting-edge deep learning models on REM proprietary map data
Perform high-scale, large-volume data analysis
Integrate new map-based algorithms with full ownership
Develop tools that enable fast and effective data introspection
Optimize models and results where needed.

As a member of our fast-paced group, youll have the unique and rewarding opportunity to shape the future. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills.

This role will have the following responsibilities:
Developing and integrating AI systems (e.g RAG, agents) into deliverable products.
Developing and evaluating domain specific Large Language Models for various tasks and applications.
Understanding product requirements, translating them into modeling tasks and engineering tasks.
Collaborating with Hardware and Software teams across us.
Translating theoretical ideas into tangible innovations.

We are looking for a Staff Data Platform Engineer to join our Engineering team and lead the evolution of our next-generation data platform. In this high-impact role, you will operate as a player-coach: you will be the technical visionary responsible for designing the ecosystem, while remaining deeply hands-on to implement scalable, secure, and intelligent solutions that power everything from operational reporting to advanced GenAI applications.
You will bridge the gap between complex business requirements and technical execution, advocating for a data-first culture. This role offers a clear growth path: while it currently starts as an individual contributor position, it has the potential to evolve into a leadership role.

We're looking for talented and inspired individuals to join our team and attack our products with the goal of better safeguarding our users. The job involves performing security reviews of low-level software and its interface with the SoC HW.

Customers security, privacy, and safety are very important to us. Your job will be to analyze our products and attempt to break them in ways that could undermine these goals, including when the attacker is in possession of our device. In order to do that, you will be required to:
- Examine our new SoC silicon security features and demonstrate if/how they can be defeated.
- Examine embedded systems and find security vulnerabilities in us or 3rd party firmware and bootloaders.
- Develop tools to automate or focus the effort of performing such security reviews.
- Propose new ideas for security hardening and mitigations.
- Stay abreast of modern hacking techniques against our products, including those where the attacker is in close proximity or possession of the device.

You will be part of our company's REM department. our companys 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.

Our team is looking for an FW engineer to design, develop, and implement complex SW modules for the production line. The integration will require cooperation with other teams and vendors abroad. Youll be part of a team developing complex and versatile hardware/software integrated solutions for mission-critical tasks in future products.
Are you a big-picture thinker who loves setting ambitious goals?
Do you have a passion for understanding how each line of code affects all the others?
Your dedication to cross-disciplinary collaboration will help develop groundbreaking technologies like iOS, macOS, watchOS, and tvOS. By crafting these distinct, holistic user experiences, youll continue to uphold and advance the excellence people expect from our devices.

Take part in SW design sessions (detailed designs involving system understanding), provide HLD and LLD documentation of central SW modules, participate in the coding of complex SW modules, debug complicated (system-wide) bugs, and lead HW-SW integrations.