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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 an experienced software and integration engineer to join the CTO group and take a key role in delivering robust, large-scale autonomous driving software.
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.
in this role you will play a key role in designing, building, and maintaining algo utility and software infrastructure within the company's primary algorithmic flow.
what will your job look like:
take part in technical design and decision-making, balancing performance, scalability, and maintainability.
debugging Real-Time oriented code while adhering to high standards of memory management and running-time requirements.
manage the groups software delivery, ensuring timely, highquality releases.
opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
working closely with external algo teams and various departments for requirement gathering and the correct integration of new features.

you will be part of our rem department, which is responsible for the automatic high-definition map-making process, a key technology in our autonomous driving and advanced driver-assistance systems. this process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and managing a complex system that requires both technical depth and strategic thinking. we are seeking a backend & data engineer to join our innovation team within our mapping division. 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, and optimize complex systems operating at scale.
what your job will look like:
develop and maintain backend and data -processing components in large-scale systems
design, implement, and optimize data pipelines and distributed processing flows
work with large-scale Storage systems (e.g., s3) and high-volume data access patterns
optimize systems and code across multiple layers - from architecture to implementation
identify performance bottlenecks, debug complex issues, and drive root-cause solutions
work across teams and domains, reading, improving, and refactoring existing code
take part in technical design and decision-making, balancing performance, scalability, and maintainability.

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.

we are looking for a senior technical Project Manager (tpm) to join our r&d program management team and lead business-critical, large-scale cross-functional projects. in this role, you will drive the product group vision, improve processes and technologies, and remove blockers to help engineering teams deliver high-impact products in a fast-paced environment.
you will manage end-to-end delivery of complex av programs (l2+ hands-off and l3 eyes-off), coordinating multiple teams from initiation through release. the ideal candidate brings a strong background in engineering and program management of complex, algorithm-driven products, with excellent communication, collaboration, and problem-solving skills, and the ability to operate independently in challenging, evolving environments. what will your job look like:
deliver results by orchestrating the technical planning, execution, and enablement of key programs.
communicate and build rapport with senior executive's technical and non-technical team members.
anticipate and aggressively remove obstacles that slow or prevent teams from delivering objectives.
lead and contribute to the decision-making process and facilitate conflict resolution.
draw from your hands-on experience in the relevant technology requested.
use critical design thinking to focus on delivery and results.
define key program metrics and communicate outcomes, blockers, and program performance.
work with management and other leaders to continually identify and implement team process improvements.

which department will you join?
the assembly department is responsible for assembling all the company's products.
we receive kits for assemblies from the warehouse and at the end of the process we release complex and tested products to the following stations.
in our department, an acceptance TEST is performed for hardware received from suppliers (qat).
we provide hardware repair support to all our lab employees and external customers (rma).
we provide support for prototypes of systems in development. what will your job look like:
perform acceptance tests for hardware received from suppliers (qat).
provide hardware repair support to all our lab employees and external customers (rma).
provide support for prototypes of systems in development.

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 mobileyes 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.

We are looking for a driven and technically fluent Product Manager to join the meci group within the software engineering organization. the meci group enables our algorithmic development flow by building scalable ci, build, TEST, and ai-driven tooling that supports the full development lifecycle. our platforms allow us to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and Developer well-being. as a Product Manager in meci, you will own and evolve core internal platforms that are foundational to how we develop, validate, and deliver algorithms. this role sits at the intersection of engineering, infrastructure, and Developer experience, with broad impact across algo, validation, and platform teams.
why this role is unique
this role offers end-to-end ownership of products that are central to our development ecosystem. you will lead products spanning development workflows, build and TEST systems, platform services, and ai-assisted tooling, operating across multiple teams and technical domains. the role combines strategic product leadership with hands-on collaboration in a highly technical environment, where scale, performance, and reliability are critical. youll work closely with engineering leaders and cross-functional stakeholders to identify high-impact problems, define clear priorities, and drive delivery of solutions that measurably improve productivity, platform stability, and Developer experience.
what your job will look like:
own the product vision, strategy, and roadmap for key meci platforms and capabilities
drive cross-organizational alignment on platform priorities, architectural evolution, and adoption strategy
translate needs from algo developers, validation teams, ci users, and infrastructure stakeholders into clear product requirements, specifications, and user flows
lead the full product lifecycle - from discovery and problem definition, through design and implementation, to rollout, monitoring, and continuous improvement
maintain ongoing engagement with users to deeply understand workflows, pain points, operational constraints, and opportunities for improvement
partner closely with engineering leadership on prioritization, scope, and delivery, balancing short-term needs with long-term platform health
contribute to building a culture of collaboration, ownership, and sustainable development, with attention to Developer well-being.

our ml platform group builds and operates the core infrastructure that powers large scale ai workloads. we manage a massive, high performance environment consisting of both multi cloud clusters and on prem bare metal nodes optimized with ai accelerators. we are looking for a highly experienced senior sre / Linux systems engineer who thrives on managing complex, low level infrastructure. this isn't just a cloud-configuration role, you will be responsible for the health and performance of expensive, high density hardware. you must be an expert at troubleshooting open source systems and "living" inside Linux environments to ensure our ai clusters run at peak efficiency. what will your job look like?
build and maintain infrastructure for largescale ai and hpc workloads across onprem and cloud environments
operate and enhance our multicloud, multicluster scheduling platform
troubleshoot complex issues across the stack: from Kernel -level tuning and drivers to networking, Storage, and distributed system bottlenecks.
ensure the reliability of critical platform services: queuing systems, time-series databases, and logging pipelines
develop deeply integrated automation and tooling
collaborate with ml engineers and it engineers to optimize hardware utilization for data intensive workloads
drive best practices in  system  design, observability, and infrastructure-as-code