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we are looking for a hardworking and engaged senior QA SW engineer with experience in networking to join the system ethernet QA team! our QA team is responsible to TEST and qualify the nvidia ethernet switches solutions. we learn new features, design, execute, write automation based on Python!  widely considered to be one of the technology worlds most desirable employers. we have some of the most forward-thinking and hardworking people in the world working for us. if you're creative and autonomous, we want to hear from you!
what you'll be doing:
review the arch design and requirements for new features introduced in the product.
design, develop, and execute tests for the new features, as part of sw ga releases and update releases.
report bugs found during execution, assist with reproduction and debugs in order to understand root cause verify bug fixes provided by the r&d team, raise if not fixed.
execute system tests in different scopes: regression, performance, functional, security for ethernet protocols.
write automation tests and framework apis based on the Python language.

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.

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.

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.

which department will you join? the infra development team is a part of software algorithm (sw algo) department at our company responsible for the software infrastructure and development algo utilities for autonomous driving algorithm code running on our platform. as part of the end-to-end autonomous vehicle flows, we get to see our code running in the most advanced algorithms and use cases, which are developed by our team and algorithm groups. the development environment is mostly based on C / C ++ programming within computer vision domains. as a senior C ++ Developer, 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:
leading the development of high-performance applications using C ++ and optimizing the existing codebase for efficiency and scalability
collaborating with multiple departments in our company to acquire broad insights into algorithmic and technical details, ensuring seamless integration with the overall system
debugging Real-Time oriented code while adhering to high standards of memory management and running-time requirements
working closely with external algo teams and various departments in our company for requirement gathering and the correct integration of new features
engaging with different environments in our software stack, including backend and middleware, to ensure the smooth operation of the software infrastructure
opportunities to work on cutting-edge projects and technologies in the autonomous driving industry
exposure to advanced algorithms and use cases, showcasing your expertise to a wide audience
collaboration with a talented and passionate team of developers, algorithm engineers, and other professionals

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.

as a senior integration & application Developer, you will be an integral part of the esc and integration team, responsible for designing, developing, implementing, and supporting enterprise-grade application integrations, while serving as a key technical authority within the team.
we are seeking a hands-on technical lead to lead the design and delivery of integrations using the iconduct platform as the primary integration solution. the role includes continuous development and enhancement of integrations across multiple application systems, driving technical excellence, best practices, and contributing to the teams overall execution and growth, without direct people management responsibilities.
what your job will look like?
serve as a hands-on application integration technical lead, designing, developing, and maintaining integrations, scripts, and automation across our growing ecosystem.
design and build a scalable integration architecture for enterprise information systems, and lead its end-to-end implementation.
collaborate closely with cross-functional teams to gather requirements and deliver integration solutions that improve daily workflows and operational efficiency.
actively participate in technical discussions and design reviews, defining best practices for building robust, secure, and maintainable integrations.
ensure the stability, integrity, and smooth operation of the companys integration architecture.
leverage ai-based tools and technologies to enhance automation, optimize integration processes, and improve overall system efficiency.
serve as a key technical authority within the team, providing guidance, mentorship, and technical leadership.

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 pioneering force in the autonomous vehicles (av) industry. join us to build the brain behind the car - a large-scale, multi-task neural network that powers the core of our autonomous stack. youll design and train cutting-edge deep learning models tailored for our custom eyeq chip, tackling end-to-end challenges and deploying real-world solutions. from novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems. if youre a brilliant, hands-on researcher with a passion for shaping the future - this is your launchpad.
why us?
our team is at the forefront of our most advanced ai efforts.
as a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
if youre seeking a high-impact role among top-tier researchers and developers - this is the place to be.

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 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 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.

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.