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we are a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, our company SuperVision, our company Drive, and our company Chauffeur, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
This role requires working at our Jerusalem offices 2 days per week.
What will your job look like:
Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability.

Join our innovative team at our company, where you will lead a talented Deep Learning R&D team developing advanced neural networks that are essential for our companys key products.
In this role, you will lead a team responsible for developing real-time vision models that power the vehicles understanding of its environment. The team combines research, hands-on development, model training, data analysis, optimization, and product-grade delivery for autonomous driving technologies and advanced driver-assistance systems.
As a Deep Learning R&D Team Lead, you will be responsible for both the technical and managerial leadership of the team. You will guide the full development cycle of deep learning solutions - from understanding the problem and data, through modeling and training, to performance improvement, validation, and delivery into production systems.
The role is ideal for someone who is technically strong, creative, independent, and motivated by solving complex, open-ended problems while leading people and driving execution in a fast-paced, product-oriented environment.
What will your job look like?
Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for our companys products.
Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the teams work.

We're hiring an exceptional Applied AI Scientist to join our team!

In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across Tipalti's core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.


In This Role, You Will Be Responsible For


Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.

We are looking for a Deep Learning Tech Lead, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS). In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
** This role requires working at our Jerusalem offices 1 day per week.
What will your job look like:
Lead the design, development, and implementation of accurate and robust AI algorithms for new projects
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers
Collaborate with cross-functional teams to understand requirements and develop solutions.

we are looking for a Technical Support Engineer.
As a Technical Support Engineer, you'll take ownership of technical escalations and serve as the central point of contact for various operational teams. Your primary focus is to assist our customers in maximizing the use of our global financial automation platform, ensuring seamless business operations. Collaborate with engineering and product teams to swiftly investigate and resolve complex technical issues while delivering an exceptional customer experience.
In this role, you will be responsible for:
Take full ownership of technical issues escalated by the Onboarding Managers, Customer Support and Customer Success teams, ensuring a seamless troubleshooting process - including information gathering, root cause analysis, and clear resolution communication.
Lead internal escalations with Engineering and Product teams to ensure a timely response and appropriate actions to mitigate customer impact.
Provide expert technical support across Payments, Payees, and Cards domains, including complex payment workflows and payment provider integrations, while working closely with internal operational and Engineering teams to ensure seamless customer resolution.
Diagnose and troubleshoot high-impact payment issues, including payment lifecycle discrepancies, provider-related failures, cutoff-related delays, transaction status issues, and payment processing escalations, driving robust and customer-focused resolutions.
Work closely with team leadership to identify emerging issues before they become widespread, contributing to proactive risk mitigation.
Identify trends in technical challenges, driving long-term improvements to enhance customer satisfaction and system reliability.
Maintain internal documentation and actively contribute to knowledge-sharing across the team.

We are seeking a highly technical QA Engineer to join our engine engineering group. In this role, you will be the guardian of quality for our core platform capabilities. You will be responsible for designing and implementing robust automation frameworks, ensuring the architectural integrity of our testing suites, and validating complex features across both client-side and server-side systems. You will work in a fast-moving environment where quality is a shared responsibility, but you provide the strategy and tools to make it possible.

What Will You Do:
Take part in the QA effort within your squad, fostering a culture where quality is integrated into the development lifecycle from day one.
Design, implement, and own complex automation tests spanning engine logic and backend services.
Own the manual validation of features across multiple services: identify edge cases, manage test dependencies, and provide clear "Go/No-Go" signals.
Proactively identify technical and delivery risks, articulating the trade-offs between speed of delivery and test coverage.
Act as a key player in diagnosing complex production incidents and ensuring that "post-mortem" tests are added to prevent regressions.
Collaboration: Partner closely with Product and Developers to define "Definition of Done," unblock delivery, and ensure shared ownership of the product quality.
Strong expertise in the teams core stack (Node.js) to build and execute automated test suites (API, Integration, E2E).
Expert-level proficiency in Playwright for cross-browser E2E testing.
Ability to navigate and interact with the DOM efficiently for frontend testing, utilizing event delegation and understanding browser rendering to build stable UI tests.
Proactively identifies and implements improvements to testing pipelines, deployment gates, and internal QA tooling.
Ability to pivot testing strategies as the product evolves and independently learn new testing frameworks or technologies.

We are seeking an experienced Full-stack Team Leader to lead a high-performing squad within our engine engineering group. In this role, you will be overseeing the development of core platform capabilities. You will be responsible for the professional growth of your developers, the architectural integrity of your teams output, and the successful delivery of complex features across both client-side and server-side systems in a fast-moving environment.

What Will You Do:
Lead, coach, and mentor a team of full-stack engineers, fostering a culture of technical excellence and continuous improvement.
Oversee the design and implementation of complex features spanning engine logic and backend services, ensuring the team writes robust, scalable, and maintainable code.
Own the end-to-end delivery of features across multiple services; break down high-level product initiatives into clear tasks, manage dependencies, and provide accurate timelines.
Lead architectural decisions and service design, clearly articulating trade-offs and ensuring modules are scalable and align with long-term platform goals.
Act as the escalation point for complex production incidents.
Enforce high standards for testing and monitoring.
Partner closely with Product, QA, and other Engineering Leads to unblock delivery, align on priorities, and ensure shared ownership of the product roadmap.
Strong expertise in the teams core stack (Node.js, Relational/NoSQL databases) with the ability to jump into the code and execute complex implementations when necessary.
Proven ability to design scalable modules and services within a distributed domain context.
Proactively identifies and implements improvements to team processes, deployment strategies, and development tooling.
Ability to lead the team through technical pivots and independently learn/adopt new technologies as the stack evolves.

our company's Imaging Radar group develops innovative high-performance Imaging Radar solutions for ADAS and Autonomous Driving markets. We are looking for a Software Architect to join the development of state-of-the-art products in mmW frequencies.
You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of an innovative technology in its early stages.
What will your job look like:
Clearly define the requirements. Research the hardware, firmware, and software existing support and define the solution to match the requirements.
Hands-on resolution of complex issues
Resolve issues raised during implementation stages or feedback from customers.
Develop & communicate high-level designs and technical specifications
Define responsibilities of system components and interfaces
Identify risks and propose solutions in system designs
Define aspects of development; appropriate technology, workflow and standards
Evaluate existing system designs and propose improvements
Collaborate with other architects
Foster innovation through research, recommending the use of new technologies, processes or standards
Prepare, lead and participate in design reviews
Take part in all phases of the software development cycle.

we arelooking for a Senior QA Lead to act as a Quality Owner, driving scalable, consistent, and measurable quality across multiple development teams.
quality is owned by development teams. The QA Lead ensures this ownership is effective, aligned, and continuously improving - by defining standards, enabling teams, and providing system-level visibility and risk assessment.
The QA Lead engages at key points in the development lifecycle, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones.
This role focuses on strategy, enablement, and system thinking, rather than hands-on execution of tests.
In this role, you will be responsible for:
Leading quality strategy across teams, including defining testing approaches across different testing layers
Defining and driving quality standards, including Definition of Done and CI expectations
Prioritizing involvement based on impact and risk, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones
Establishing and monitoring quality metrics, and providing clear visibility into quality health
Leading cross-team quality efforts, especially around integrations, shared flows, and areas with unclear ownership
Building and maintaining a system-level understanding that enables early identification of gaps beyond individual team boundaries
Guiding development teams in test design and coverage decisions, promoting strong quality ownership within teams
Promoting effective and responsible use of AI in testing and quality processes
Driving continuous improvement in quality practices, while acting as a knowledge center for quality and system behavior within your domain

we are looking for a Software Engineering Manager (SRE Team).
In this role, you will be responsible for:
Lead a distributed team of 3 SRE engineers as a part of Global SRE group and report to the Director of SRE &DBOps.
Drive incident response and post-mortem processes, fostering a culture of continuous improvement.
Design, build and improve internal tools and automation software to make maintaining production services easier and safer.
Lead reliability-focused practices such as SLO (Service Level Objective) design and implementation, Failure Analysis, Load and Capacity Planning, Service Reviews, Architecture Designs, Incident Postmortems, and others.
Participate in the on-call rotation, providing expertise and support during critical system incidents and ensuring timely resolution.
Ensure high technical standards and overcome various technological challenges.
Be accountable for the team's output, empowering and coaching team members, setting goals, and ensuring engagement.
Embrace values of independence, natural curiosity, ownership, and continuous improvement.

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.

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'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.

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.