לוח משרות דרושים מדעים מדוייקים

our networking product engineering team is looking for a TEST development engineer. the position combines an understanding of hw and sw to provide stable, efficient, smoothly running production tests, to enable high availability, while ensuring the quality of the products being shipped to customers.
what youll be doing:
design and develop automated tests for networking switches while working closely with the hw, asic, and sw engineering teams to achieve a reliable TEST with high coverage
exposed to various aspects of design, dft, and TEST of nvidia's next-generation network products
take a significant part in the definition and development of tests from the development level to the final TEST of network-systems
working with overseas manufacturing teams to increase yields, TEST coverage, and capacity, and reduce production costs

looking for an excellent senior system Validation engineer!
networking division is a leading supplier of innovative end-to-end infiniband and ethernet connectivity solutions and services for servers and Storage. we offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. our products optimize data center performance and deliver industry-leading bandwidth and scalability. in addition, we serve a wide range of markets including high-performance computing, enterprise, data centers, cloud computing, Big Data, and web 2.0. we are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry.
what you'll be doing:
TEST verification and validation (both hw and sw).
maintain products quality by improving TEST stability, coverage, design, and manufacturing process in mass production.
execute tests in different scopes such: as regression, performance degradation, functional, and security; report the progress of testing and provide summary reports of the activity.
troubleshooting and streamlining/optimizing our testing procedures.
support mass production matters.
debugging production bugs and solving them.

testing electro-optical and electrical chips and systems.
link-level performance characterization, verification, and debugging.
responsibility for complicated setups establishments, covering both optical and electrical components
characterizing optical and electrical performance using lab equipment and sw tools.
take an active part in silicon bring-up while managing e2e testing of the newest asics, with the objective of driving product to mass production with first-in-class performance.
characterizing products performance using lab equipment, such as oscilloscope, spectrum/network analyzer, pattern-generator, etc.
working in front of various TEST teams, with the responsibility of addressing issues and monitoring the TEST flows conducted by them

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.

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.

you will be part of rem department. road experience management (rem) is an end-to-end mapping and localization engine. its being used for full autonomy capabilities and services, generating validation processes and methodologies for such a technology giant is challenging, sufficient. 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. our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of Big Data. what will your job look like:
lead and hands-on drive the teams transition toward extensive and effective use of automation, including implementing automated solutions, improving existing workflows, and actively supporting the team in adopting automation as part of daily development and testing activities
manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
participate in the planning and design of advanced validation processes.

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, algorithm developers work at the forefront of av/adas innovation- designing and implementing perception, mapping, computer vision, and decision-making algorithms, typically in Python or C ++. at our company, algorithm developers join a variety of teams across a broad range of domains. this role serves as a central entry point, allowing us to match your expertise and aspirations with the team where you can make the greatest impact. algorithm developers at we contribute to diverse areas of innovation, including:
 detection: developing algorithms to identify and track road users, lanes, and other key elements of the driving environment in real time.
 object modeling: developing algorithms to identify, classify, and measure objects (general, unclassified, etc.), enabling precise scene understanding.
 geometry: developing algorithms to model road geometry, vehicle motion, and calibrations, providing essential spatial data that supports localization, 3d object placement, tracking, and other core perception tasks.
 mapping: developing algorithms to create high-definition maps from large-scale, crowd-sourced data to enable precise localization and navigation.
 3d perception & sensor fusion: designing algorithms for 3d reconstruction and multi-sensor reasoning to accurately model and understand the driving environment. what will your job look like?
your job will include a combination of algorithm development and programming in Python and C ++.
work with image-based data, focusing on extracting and representing spatial information accurately and efficiently.
take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
collaborate closely with engineering and research teams in computer vision, data engineering, and related fields to deliver real-world solutions.

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.

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.

our eyeq platform group (epg) is seeking a motivated formal Verification engineer to join our team and contribute to development of hardware verification environments.
this position offers an opportunity to apply formal methods to verify the correctness of various complex digital systems.
this is an exciting opportunity to join a team of talented engineers, working cutting edge technologies in the field of autonomous vehicle. what will your job look like:
be the owner of formal verification environment from first draft to sign-off stage
apply formal methods to verify the correctness of various complex digital systems
work with hw architects/designers to define assumptions, rules and cover properties
help define the formal verification methodology and environment to be applied by the team
explore new formal methods and tools
work with tools like cadence jaspergold, verisium manager, xcelium, indago
analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
develop generic formal blocks/functions of commonly used logic, to be later used off the shelf

we are a global leader in autonomous vehicle (av) technology, pioneering advanced driver-assistance systems (adas) and self-driving solutions. across the company, senior deep learning algorithm developers work at the forefront of av/adas innovation - designing, training, and optimizing deep neural networks for tasks such as perception, mapping, and scene understanding. this includes working with large-scale datasets, leveraging frameworks like pytorch or tensorflow, and applying state-of-the-art techniques to tackle complex perception and decision-making challenges in real-world driving scenarios. at our company, senior deep learning algorithm developers contribute across multiple ai domains, with most opportunities in computer vision and additional roles in areas such as NLP /llms and 3d perception (radar, lidar, fusion). this role serves as a central entry point, enabling us to align your expertise and aspirations with the projects and teams where you can make the greatest impact. what will your job look like?
design, develop and implement deep learning algorithms to solve complex problems in computer vision
take ownership of deep learning projects: compose product requirements, design solutions, oversee execution, and collaborate with talented algorithm developers.
collaborate with cross-functional teams to understand requirements and develop solutions.
analyze large datasets to improve algorithm performance and robustness.
research the latest advancements in deep learning, multi-task learning, ai architectures, and apply them to enhance our algorithms

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.

our imaging radar department develops high-performance 4d imaging radar systems for autonomously driving vehicles. the phy algo group is leading the innovative research and the development of the entire algo processing pipeline starting from the iq samples and up to object detection. the group is responsible for the entire radar simulation, including novel waveform design, transceivers, environment, and the radar signal processing pipeline. the group is also leading the phy architecture and developing ai based signal processing. what will your job look like?
research, develop and implement signal processing algorithms.
solve applied radar processing problems.
develop radar and environment simulations for verification of algorithm pipes at the system level.
develop ai based algorithms for radar signal processing. including developing the training and testing environments for these algorithms.
analyze field recorded data and confirm system performance through simulations.