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our CTO group is looking for experienced algorithm researchers and developers to join our team! which department will you join?
the CTO group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our self-driving car, crowd-sourced hd maps, and advanced driver-assistance systems. 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.
the group is comprised of top-notch developers and researchers and is headed by world-class scientists. this is a unique opportunity for a passionate technical leader to join the CTO group, work closely with the CTO on next-generation projects, develop pocs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community. what will your job look like:
research, design and develop innovative algorithmic solutions.
mathematical modeling and abstraction of real-life problems.
code design, implementation, and hands-on development.

we are seeking an algorithm team lead to guide a team of highly skilled algorithm developers. you will join a collaborative group focused on researching and developing large-scale offline computer vision models that enable automatic data labeling and are deployed company-wide. this role requires a unique combination of technical depth, leadership, and strategic thinking - and its your opportunity to inspire and challenge brilliant minds, while maintaining a strong presence and ensuring focus and execution. you will lead the teams end-to-end work in 3d computer vision, multi-sensor reasoning, and slam-based perception, driving the development of state-of-the-art algorithms that power autonomous driving systems. the position involves close collaboration with product and cross-functional teams to define priorities, balance innovation with delivery, and translate complex research challenges into production-ready solutions. what will your job look like:
lead a team of 7 algorithm developers, providing both technical and personal guidance.
manage priorities and interface with product and engineering stakeholders to ensure alignment and impact.
drive algorithmic research and development in the areas of 3d reconstruction, slam, optimization, calibration, and ego-motion estimation.
oversee the full lifecycle - from concept and research to deployment in production systems.
maintain hands-on involvement, mentoring the team in advanced algorithmic design and development.

Our CTO group is looking for experienced algorithm researchers and developers to join our team! which department will you join?
the CTO group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our self-driving car, crowd-sourced hd maps, and advanced driver-assistance systems. 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.
the group is comprised of top-notch developers and researchers and is headed by world-class scientists. this is a unique opportunity for a passionate technical leader to join the CTO group, work closely with the CTO on next-generation projects, develop pocs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
what will your job look like:
research, design and develop innovative algorithmic solutions.
mathematical modeling and abstraction of real-life problems.
code design, implementation, and hands-on development.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (adas). our cutting-edge solutions, including the eyeq chip, mobileye supervision, mobileye drive, and mobileye 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. 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

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 ++.  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  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

we are seeking a skilled failure analysis (fa) engineer with expertise in x-ray inspection techniques to join our av platform team. the ideal candidate will specialize in using advanced x-ray imaging and other analysis methods to investigate product failures, identify root causes, and provide actionable insights to improve product quality and reliability what will your job look like?
perform detailed failure analysis using x-ray imaging systems and related diagnostic tools to inspect electronic components, assemblies, and materials.
interpret and analyze x-ray images to detect structural anomalies, defects, voids, cracks, delamination, and other failure mechanisms.
develop and optimize x-ray inspection procedures and protocols for failure analysis and quality control.
prepare TEST specimens: cutting, mounting, grinding, polishing and chemical etching
collaborate with product engineering, Quality Assurance, and manufacturing teams to support product development, troubleshooting, and continuous improvement efforts.
prepare detailed technical reports documenting findings, root cause analyses, and recommended corrective actions.
support reliability testing and failure mode analysis for new and existing products.

we are seeking a highly skilled systems integration and Validation engineer to join our dynamic team in the automotive industry. the ideal candidate will have a strong background in system development, integration, and testing, with at least 5 years of relevant experience. as an integration engineer, you will play a key role in integrating and validating a complex automotive system, ensuring they meet the highest standards of quality, performance, and reliability. what will your job look like:
system integration: collaborate with cross-functional teams to integrate various subsystems and components into a cohesive automotive system, ensuring compatibility and functionality.
risk management: identify potential risks and issues related to system design and implementation, and develop mitigation strategies to ensure project success.
documentation and reporting: create comprehensive documentation, including system designs, TEST reports, and technical specifications. provide regular progress updates and reports to management and stakeholders.
testing and validation: develop and execute TEST plans and procedures to validate system performance, reliability, and safety according to industry standards and regulations.

our SOC verification group owns the important and challenging job of verifying mobileye's chip. it is involved from product specification to final SOC delivery, and involves all the system components. the group is made up of few of the best Verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams. what will your job look like:
you'll be responsible for pre-silicon system -level verification of the most cutting-edge ai accelerators and technologies in the automotive field.
define the testplan, develop and run tests on simulation/emulation environments, develop TEST environment and verification collaterals.
you'll have a broad effect on our unique product from the very beginning of the process.

Our SOC verification group owns the important and challenging job of verifying mobileye's chip. it is involved from product specification to final SOC delivery, and involves all the system components. the group is made up of few of the best Verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
what will your job look like:
you'll be responsible for pre-silicon system -level verification of the most cutting-edge ai accelerators and technologies in the automotive field.
define the testplan, develop and run tests on simulation/emulation environments, develop TEST environment and verification collaterals.
you'll have a broad effect on our unique product from the very beginning of the process.

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 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.

you will be part of our rem (road experience management) department, which is responsible for the automatic high-definition map-making process, which is a key technology in autonomous driving and high-end driving assistance systems. vision-based localization is a key enabler for utilizing and creating the maps. our group is responsible for aligning the map with the world, and reporting detected changes during the drive. our technology is safety-critical, and the code has strict time and memory constraints as it operates in real time. what will your job look like:
develop and optimize computer vision and deep learning algorithms to accelerate data generation and labeling workflows for autonomous driving
apply both classical computer vision techniques and modern deep learning methods to solve large-scale data challenges
collaborate closely with development and annotation teams to enhance automation and ensure high-quality data
own the entire lifecycle from prototyping to scalable deployment within internal pipelines and tools
develop tools to evaluate and analyze algorithm performance, robustness, and operational efficiency

our company is hiring a senior, hands-on engineer to lead technical innovation in our design verification (dv) automation infrastructure. this role requires a strong design/verification background combined with a proactive approach - identifying inefficiencies, proposing creative solutions, and implementing them with high ownership and impact. you will directly influence how verification is performed across our next-generation networking chips, enabling more scalable, efficient, and robust flows for complex asics powering the ai revolution. 
what you'll be doing:
lead the development of advanced verification automation tools, regression flows, and debug infrastructure.
identify key challenges and inefficiencies in current dv methodologies and proactively propose and implement improvements.
work closely with dv engineers, design teams, and tool developers to ensure solutions are practical and impactful.
balance innovation with hands-on engagement in daily dv issues - keeping a strong connection to real-world challenges and support needs.
act as a technical leader within the team, driving discussions, mentoring peers, and crafting strategic directions for dv automation.

seeking a visionary ai Verification engineer to join our chip design methodologies team. were expanding how we use ai across all our verification methods. in this role, youll help us figure out where ai fits best and build the 'brains' behind our tools. youll help us leverage ai, utilizing llms and Machine Learning -to help us debug complex chips faster and more efficiently
what youll be doing
ai ecosystem development: build and deploy an ai verification environment, moving from manual testbenches to automated stimulus generation and coverage closure.
next-gen tooling: develop and integrate ai agents and ml models directly within the verification toolchain to automate intent-to-testbench workflows.
intelligent debugging: create and refine ai-based debug assistants that can analyze simulation failures, categorize bugs, and suggest fixes autonomously.
methodology innovation: research and apply groundbreaking ai approaches (such as reinforcement learning or llms) to address the "state-space explosion" in chip verification.
collaborative intelligence: work with design automation teams and eda vendors to ensure our ai solutions provide end-to-end efficiency from rtl to gds.
leadership & training: act as the authority, training the broader team on how to bring to bear ai tools and "human-in-the-loop" methodologies.
nvidia houses the most forward-thinking minds in the world. are you a creative engineer ready to build the first truly self-verifying chip environment? come join our team and help us define the future of hardware powered by artificial intelligence.

we are looking for a formal Verification engineer for our nvidia networking team!
this is an exciting opportunity to join a hardworking pre-silicon design and verification team, working on groundbreaking switch and gpu technologies. we deploy state-of-the art formal verification tools and methodologies to prove design correctness. working in our formal verification team will expose you to a wide range of cutting edge design and technologies that are in the heart of th ai revolution. our team delivers world class chips solutions for hpc, ai infrastructures, data -center, network, and Storage markets. we micro-architect, verify, and deliver smart and high bandwidth multi port switches. nvidia has the most sophisticated formal tools and methodologies in the industry, which help us achieve a0 design tapeouts. as part of this team, you'll enjoy a versatile work environment, which is educational, dynamic and ambitious.
what you'll be doing:
in this position you will use formal verification algorithms to formally prove the correctness of complicated logic problems.
you will work on ambitious designs along with our pre-silicon team and take part in developing the next generation of nvidia's core technology.
you will take part in the ai revolution led by nvidia, working on cutting edge architecture.