לוח משרות דרושים

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.

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.

we are looking for a safety architect to our the safety team, developing novel approaches to assess and promote autonomous vehicle (av) safety.
safety is a core decision driver at the highest level of our development and business strategy, directly impacting project timelines and approval for our most advanced programs.
demonstrating that an autonomous vehicle is safe is a cutting-edge challenge. it requires a deep understanding of the entire av system, the development of robust methods and tools to support this goal, and active engagement with the automotive industry to build broad acceptance of our approach. what will your job look like?
analyze the sw architecture and identify safety-critical areas, define the safety requirements and work closely with r&d teams to reach the best solutions
support the sw system architecture definition of the automated driving system
define the safety requirements for high-level components of the autonomous vehicle products including driving applications, image processing, memory management, error handling
act as a poc for r&d teams in terms of safety and embed the safety culture, train and guide safety ambassadors within the teams
proactively support our position with customers during business development activities and during the execution of production projects

join the revenue team, a prominent tech company specializing in automotive solutions traded on nasdaq. what will your job look like: building & analysis of short/long term business plans.
analyzing the business activity and trends.
building and maintaining the company's long-term plan and other ad - hoc models to support strategic decision making.
conducting quarterly rolling forecast and insightful analysis of company's revenues and cost of sales (product mix, gross margin etc.)
manage budget control and analysis to maintain expenses control.
preparing detailed budget with budget owners/senior and providing quarterly reports of usage.
performing a quarterly analysis report: actual vs. forecast and budget.
participating in quarterly closing process (provisions, analysis, monthly reports and presentations).
maintain the companys long-term forecast.
working with accounting, budget systems and related sox controls.

we are looking for an experienced deep learning algorithm researcher with a strong focus on reinforcement learning to join the CTO group.
our CTO group is a small, elite research and development group responsible for shaping the next generation of algorithmic solutions powering our autonomous driving systems, crowd-sourced hd maps, and advanced driver-assistance technologies. the role focuses on building a learning-based planning system that has never been deployed at this scale before, leveraging reinforcement learning to address complex, interactive driving scenarios. you will work on policy decision making that provides a holistic, system -level view of autonomous behavior, while tackling a deeply challenging technological problem- taking ideas from research to real vehicles, developing algorithms, retraining models, validating results, and seeing the impact on the road within short development cycles. this is a unique opportunity to take part in early-stage, high-impact projects, develop proof-of-concepts using cutting-edge technologies, and influence our long-term technological direction. what will your job look like:
develop and optimize reinforcement learning-based planning algorithms, including network architectures, reward design, and training processes.
apply rl to complex, interactive driving scenarios, complementing classical planning where deterministic approaches fall short.
work with large-scale simulation environments to enable learning through interaction and diverse policy behaviors.
prototype algorithms in Python and migrate performance-critical components to efficient C ++ / gpu-accelerated implementations.
take part in fast, iterative development cycles, collaborating closely with the CTO and the team to validate ideas and demonstrate working solutions.

we are looking for a skilled and motivated experienced rt systems integration & release manager to lead an systems integration team and own the end-to-end integration and release process for Real-Time Embedded products. this role is responsible for defining integration workflows, managing team execution, and ensuring that system releases are stable, predictable, and aligned with quality and delivery commitments.
the ideal candidate combines deep Embedded systems expertise, strong people leadership, and disciplined release and process management. what will your job look like:
directly manage and mentor a team of  rt systems integration and release engineers.
define, implement, and continuously improve the rt system integration and release management processes.
establish standard workflows, best practices, documentation, and quality gates.
ensure consistent execution of integration activities across projects.
drive alignment to integration processes across firmware, software, hardware, QA, and system validation teams.
identify integration risks early and implement mitigation strategies.
lead system -level integration of  Real-Time hardware and software.
manage system debugging, and root-cause analysis of complex integration issues.
oversee validation, verification, and system -level testing activities.
communicate progress, risks, and mitigation strategies to stakeholders and leadership.

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.

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.

our CTO group is looking for an outstanding physical-ai applied researcher to join our team.
the CTO group is a small, elite research unit shaping the next generation of algorithmic foundations behind our autonomous driving systems. the group operates at the core of the decision-making and planning stack, addressing some of the most challenging problems in real-world autonomy. we are seeking a researcher who thrives at the intersection of Machine Learning, decision-making, and algorithmic rigor - someone who is excited about advancing learning-based approaches for safety-critical, large-scale physical systems. in this role, you will develop novel approaches for planning and decision-making in interactive, multi-agent driving environments. you will combine deep & reinforcement learning with classical algorithmic structure and formal reasoning. the problems are open-ended, scientifically challenging, and deployed at unprecedented scale. this is a rare opportunity to conduct high-impact applied research, taking ideas from theory and papers into real-world autonomous systems at scale. if youre excited about pushing the boundaries of learning-based decision-making, wed love you to join us and help shape the future of physical ai at our company. what will your job look like:
design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
lead research directions from conception to full-scale production.
develop using Python (pytorch or similar frameworks) as well as C ++/gpu/cuda.

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.

Our CTO group is looking for an outstanding physical-ai applied researcher to join our team.
the CTO group is a small, elite research unit shaping the next generation of algorithmic foundations behind our autonomous driving systems. the group operates at the core of the decision-making and planning stack, addressing some of the most challenging problems in real-world autonomy. we are seeking a researcher who thrives at the intersection of Machine Learning, decision-making, and algorithmic rigor - someone who is excited about advancing learning-based approaches for safety-critical, large-scale physical systems. in this role, you will develop novel approaches for planning and decision-making in interactive, multi-agent driving environments. you will combine deep & reinforcement learning with classical algorithmic structure and formal reasoning. the problems are open-ended, scientifically challenging, and deployed at unprecedented scale. this is a rare opportunity to conduct high-impact applied research, taking ideas from theory and papers into real-world autonomous systems at scale. if youre excited about pushing the boundaries of learning-based decision-making, wed love you to join us and help shape the future of physical ai.
what will your job look like:
design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
lead research directions from conception to full-scale production.
develop using Python (pytorch or similar frameworks) as well as C ++/gpu/cuda.