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our autonomous driving software group in haifa is looking for a Linux Kernel Developer who will be responsible for developing Embedded sw products.
this is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies. what will your job look like?
researching, designing, and implementing new sw drivers and operating system features, as well as, maintaining, and enhancing existing ones.
you will also be responsible for integrating the sw solutions in mobileye's Embedded automotive platforms including the necessary hw bring-up, debug and unit testing to achieve proper operation of the new sw and hw together.

Our autonomous driving software group is looking for a Linux Kernel Developer who will be responsible for developing Embedded sw products.
this is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies.
what will your job look like?
researching, designing, and implementing new sw drivers and operating system features, as well as, maintaining, and enhancing existing ones.
you will also be responsible for integrating the sw solutions in mobileye's Embedded automotive platforms including the necessary hw bring-up, debug and unit testing to achieve proper operation of the new sw and hw together.

Our autonomous driving software group in looking for an experienced Linux Kernel & security Developer to design and implement secure Embedded software solutions. this is an exciting opportunity to work with highly talented engineers and contribute to cutting-edge security innovations in automotive technologies
what will your job look like?
you will research, design, and implement Linux Kernel drivers and os features, ensuring compliance with security best practices.
maintain and enhance existing Kernel components while mitigating potential vulnerabilities.
integrate Embedded software solutions in our automotive platforms, including hw bring-up, debugging, and unit testing.
conduct threat modeling, penetration testing, and vulnerability assessments for Linux -based Embedded systems.
optimize memory management, i/o, networking, and Storage security within the Linux Kernel.

the road algorithm team is responsible for one of the most critical and challenging tasks in autonomous driving - detecting and understanding the drivable road. our work leverages deep neural networks and geometric modeling to deliver reliable and high-quality road perception for autonomous vehicles.
we are looking for an expert deep learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities. what will your job look like:
conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
lead exploratory investigations into new architectures, training strategies, and data utilization methods
join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
own projects end-to-end - from concept and experimentation to integration and scalable deployment

which department will you join?
our hw team - a group designing the eyeq chips for adas and autonomous cars. the group is responsible for all disciplines of development, including but not limited to logic design, design verification, microarchitecture, analog and circuit design and layout, physical and structural design ( backend ), product and TEST engineering.
each physical design engineer has an end to end responsibility from definition, execution & full signoffs, working closely with design & architecture teams for constraints development, design review & rtl modifications to achieve converges were looking for a physical design engineer to join the growing physical design team, responsible for state of the art SOC design from definition to tape-out. what will your job look like:
hands-on physical design block owner from rtl to gds.
floorplan exploration with guidance and collaboration with Front-End and architecture teams.
sta: work with fe and floor planner to manage block and top level constraints and 1st level of timing analysis.
synthesis exploration and final synthesis netlist: scan insertion @ synthesis, clean checks from lint, upf & spyglass.
place & route: from synthesis netlist to final layout and signoff verification with target to achieve best power performance and area.

our autonomous driving software group in looking for an experienced Linux Kernel & security Developer to design and implement secure Embedded software solutions. this is an exciting opportunity to work with highly talented engineers and contribute to cutting-edge security innovations in automotive technologies what will your job look like?
you will research, design, and implement Linux Kernel drivers and os features, ensuring compliance with security best practices.
maintain and enhance existing Kernel components while mitigating potential vulnerabilities.
integrate Embedded software solutions in mobileye's automotive platforms, including hw bring-up, debugging, and unit testing.
conduct threat modeling, penetration testing, and vulnerability assessments for Linux -based Embedded systems.
optimize memory management, i/o, networking, and Storage security within the Linux Kernel.

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 autonomous driving software group is looking for a Linux Kernel Developer who will be responsible for developing Embedded sw products.
this is an exciting opportunity to work with highly talented engineers and be a part of product innovation on cutting edge technologies.
what will your job look like?
researching, designing, and implementing new sw drivers and operating system features, as well as, maintaining, and enhancing existing ones.
you will also be responsible for integrating the sw solutions in our Embedded automotive platforms including the necessary hw bring-up, debug and unit testing to achieve proper operation of the new sw and hw together.

which department will you join?
epg is a fast-paced, dynamic, and startup-like group responsible for researching, incubating and developing next-generation technologies and ideas, with a strong orientation towards computer vision, Machine Learning, data, and ai.
the group hosts a diverse team of scientists, engineers and developers to research, realize, and bring to market innovative new products, leveraging cutting-edge technologies, skills and capabilities.
were looking for a backend expert to join the growing physical design team, responsible for state of the art SOC design from definition to tape-out.
what will your job look like:
hands-on physical design block owner from rtl to gds.
floorplan exploration with guidance and collaboration with Front-End and architecture teams.
sta: work with fe and floor planner to manage block and top level constraints and 1st level of timing analysis.
synthesis exploration and final synthesis netlist: scan insertion @ synthesis, clean checks from lint, upf & spyglass.
place & route: from synthesis netlist to final layout and signoff verification with target to achieve best power performance and area.

join our rem (road experience management) department - the team driving the automatic creation of high-definition maps, a cornerstone technology behind our 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.

we are looking for an expert data engineer to build and evolve the data backbone for our r&d telemetry and performance analytics ecosystem. responsibilities include processing raw, large quantities of data from live systems at the cluster level: hardware, communication units, software, and efficiency indicators. youll be part of a fast paced r&d organization, where system behavior, schemas, and requirements evolve constantly. your mission is to develop flexible, reliable, and scalable data handling pipelines that can adapt to rapid change and deliver clean, trusted data for engineers and researchers.
what youll be doing:
build flexible data ingestion and transformation frameworks that can easily handle evolving schemas and changing data contracts
develop and maintain ETL /elt workflows for refining, enriching, and classifying raw data into analytics-ready form
collaborate with r&d, hardware, DevOps, ml engineers, data scientists and performance analysts to ensure accurate data collection from Embedded systems, firmware, and performance tools
automate schema detection, versioning, and validation to ensure smooth evolution of data structures over time
maintain data quality and reliability standards, including tagging, metadata management, and lineage tracking
enable self-service analytics by providing curated datasets, apis, and databricks notebooks

we are seeking a highly motivated system Software manager to lead a team driving the development of next-generation communication software and products, building on our industry-leading nvlink and nvswitch technologies. this role combines technical leadership with hands-on development activities, driving innovation at the core ofdata center ecosystem.
what you will be doing:
lead, mentor, and grow your engineering team while overseeing project planning, execution, and ensuring the quality and performance of all deliverables.
own major features and drive the teams roadmap that aligns with ambitious goals and dynamic customer requirements.
grow the local team while collaborating with a wide range of cross-business unit teams both on-site and locally.
continuously evaluate and identify opportunities to improve processes, infrastructure, and practices to ensure efficient, transparent, and high-quality team execution.
this is a technical leadership role, with active involvement in feature design and implementation.

as a senior software engineer in the gpu networking architecture team, youll lead advanced development and poc efforts for ai infrastructure solutions. you'll be collaborating with experts across distributed ai, deep learning, networking os, virtualization, Storage, and more. come and join us for the cutting edge in gpu networking!
what youll be doing:
drive advanced development and pocs for ai infrastructure solutions in cutting-edge ai networks, integrating innovative software and hardware.
demonstrate team architectural concepts with larger nvidia ai software stacks.
work closely with various groups within nvidia to bring ai network technologies to reality, including gpu and switch hw and sw teams, product as well as fellow architects.

our company is looking for an excellent senior sdk engineer to join the infiniband switch and nvlink fw/sdk group in tel-aviv / raanana. as a senior engineer you will be taking part in designing, implementing and leading major development sdk features, delivering the next-generation networking products. the sdk team develops cutting-edge networking features for cloud, hpc and Storage. we drive the data growth of the worlds biggest companies. with talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. are you ready for the challenge?
what you will be doing:
collaborate with architecture and different software/fw design teams as part of the software development lifecycle.
design and implement new features in the core of our switch sdk.
work in pre and post-silicon development environments of next-generation our networking products.
gain a deep understanding of system debugging, networking technology, and stacks, as well as the fw/sw relationship.
innovate! bring our sdk switching products to shine in customers view.

we are seeking a highly motivated high-performance system architect to join our team of experts and help shape the future of high-performance and ml / ai computing. our next-generation nvl systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in ai research to high-performance clusters used at almost every industry today, such as car and pharmaceutical. as a high-performance system architect at nvidia, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.
what youll be doing:
define the nvl system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).
research of various solutions to enable the next large-scale-high-performance computing clusters. the position spans over various layers from algorithms, software, firmware, and hw.
developing models for simulations and performance testing, analysing the results and development of future hw and sw.
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.