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looking for a motivated ai-native software engineer to join us in shaping the future of software development. engineers on this team grow fast - they work alongside senior architects, use cutting-edge ai tools daily, and become the organization's first experts in ai-native development practices.
as a ai-native software engineer in the ai-native development team, you will be Embedded in development teams adopting ai-assisted workflows. you will use the tools daily, identify friction points, suggest improvements, and become the team's go-to expert for ai-native development. this is a learning-intensive role with high impact - you will directly shape how the organization builds software with ai.
what you'll be doing:
use ai-assisted development tools daily as part of a team building real projects.
identify and report friction points - articulate clearly what works, what doesn't, and why.
contribute to tool improvements based on hands-on experience.
help document best practices, playbooks, and usage guides for broader rollout.
experiment with new ai tools, models, and approaches - evaluate and share findings with the team.
support development teams by providing direct feedback on tools and process during poc development.

we are looking for a 100% hands-on Storage services software engineer to join the block Storage group. you will be a member of a team that builds the next generation block Storage capabilities. you will work closely with a variety of teams and architects including the networking team, and external customers. you will take part in defining the software architecture and implementation of the most advanced Storage services! services that will need to meet extreme performance and scalability demands! we have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.
we work, think and learn as a team. we thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. the rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.
what youll be doing:
100% hands-on coding role in C language, Kernel and userspace
research, design, implement and TEST, new and existing, distributed Storage services and features of nvidias block Storage solution, in both host and dpu environments.
acquire understanding of the algorithms, the technicalities and the interaction with other components across nvidias block Storage ecosystem.
analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox Kernel modules and often in other components. drive new solutions based on any issues that arise

looking for a strong technical senior architect to join us in shaping the future. senior architects are innovators who can translate business needs into workable technology solutions. their expertise is deep and broad. they are hands on, producing both detailed technical work and high-level architectural designs.
as a senior architect in the ai networking research team, you will explore technological challenges on accelerate networking and building ai data centers. research new transport functions and semantics for optimizing ai workloads, ai systems communication and accelerations and much more. you will also be leading architectural and development efforts across numerous technological fields, related to the modern ai data center, such as distributed ai and deep learning solutions, data analytics, high performance computing (hpc), software defined networking (sdn), virtualization, Storage, and more.
what youll be doing:
co-design hardware features (e.g., in gpus, dpus, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. 
identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, ai-specific technologies.
lead proof-of-concept development to evaluate and drive such technologies.

we are looking for a versatile senior software engineer to join our dpu platform team. this is an opportunity to make a significant impact in a technology-driven company that powers the worlds most advanced data centers. you will use your expertise in low-level Embedded Linux software and boot flows to work with global development teams, solving the complex challenges involved in delivering high-power computing platforms.
what you'll be doing:
designing and developing low-level system software with a primary focus on bootloaders (atf, uefi), firmware, and hardware initialization
working together with hardware and design teams to drive SOC bring-up and platform enablement
solving complex challenges related to boot sequences, system optimization, and hardware resource management
supporting various internal and customer dpu projects alongside our global teams
taking part in all stages of the product lifecycle, with a focus on high software quality and stability
collaborating within a global software environment to have a broad impact across the company

in this role, you will play a critical part in advancing cumulus Linux, a leading networking operating system and a cornerstone of the ai factory - the next-generation data center designed to power the training, fine-tuning, and deployment of ai models at scale. you will work closely with cumulus Linux design and architecture teams while gaining deep insights into nvidias products and technologies.
what youll be doing:
manage, mentor, and guide a team of software developers.
oversee the design, implementation, and maintenance of scalable automation frameworks, while remaining hands-on with software development and debugging.
drive timely, high-quality feature delivery.
collaborate with global, cross-functional teams to identify, track, and resolve issues.
analyze customer-reported issues, identify TEST gaps, and ensure robust regression coverage.
work with continuous integration systems and regression tools.
foster a culture of innovation, quality, ownership, and accountability.
support team members with career development plans and achievable growth goals.

conduct in-depth performance characterization and analysis on large multi-gpu and multi-node clusters.
study the interaction of our libraries with all hw (gpu, cpu, networking) and sw components in the stack
evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
triage and root-cause performance issues reported by our customers
collect a lot of performance data ; build tools and infrastructure to visualize and analyze the information
collaborate with a very dynamic team across multiple time zones

as a Senior Software Architect in the gpu networking architecture team, you will define software defined networking architectural solutions. you'll also be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed ai and deep learning systems, networking operating systems, virtualization, Storage, and more.
what youll be doing:
define system and software architecture for software defined networking (sdn) of ground breaking emerging ai networks which involves innovative software and hardware.
be an active member in setting the use-cases and metrics for monitoring complex high-speed networks control-plane.
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.

we are seeking a highly technical program manager to join the execution program management team. in this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals.you will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment. what will your job look like:
lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives.
build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations.
monitor progress and proactively drive issue resolution to maintain predictable delivery.
define, track, and analyze execution kpis.
identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains.
support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints.
facilitate execution reviews using dashboards, logs, performance reports, and validation summaries.
coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers.
drive transparency, accountability, and operational rigor across stakeholders.
engage directly with development artifacts, including:
- reading and reviewing code.
- running scripts and pipelines (e.g., Python, bash).
- analyzing logs and outputs.
- supporting debugging and validation tracking.
- help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks.

our radar team develops cutting-edge radar technology for autonomous driving (av) and advanced driver-assistance systems (adas). we are looking for a Cyber security architect to lead the design and implementation of robust security solutions that protect our radar systems from cyber threats.
in this role, you will define security architecture for radar hardware, Embedded software, and communication interfaces, ensuring compliance with automotive cybersecurity standards and safeguarding mobileyes mission-critical sensing technology.
youll be part of a team shaping the future of autonomous driving. our radar technology is a critical component in delivering safe, reliable, and intelligent mobility solutions. youll work on innovative projects in a collaborative environment, with the opportunity to influence security strategy at a global scale. what will your job look like?
security architecture design - develop and maintain end-to-end security architecture for radar systems, including hardware, firmware, and software components.
threat modeling & risk assessment (tara) - perform threat analysis and risk assessment for radar components, software modules, and communication channels; identify vulnerabilities and design mitigation strategies.
secure communication - implement encryption, authentication, and integrity checks for radar data transmission between hardware and software layers.
secure software design - define and enforce security controls for apis, middleware, and integration points between radar systems and other vehicle subsystems.
compliance & standards - ensure radar systems meet iso 21434, unece wp.29, and other relevant automotive cybersecurity regulations.
collaboration with r&d - work closely with radar engineers, Embedded software developers, and system architects to embed security into the design process.
incident response support - provide architectural guidance during security incidents involving radar systems.
technology evaluation - assess and recommend security tools, frameworks, and methodologies for radar-specific applications.

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 looking for an experienced team player and fast learner DevOps Engineer.
A responsible individual who shares knowledge and accustomed to working in a fast-paced agile environment.
Main Responsibilities:
Build and deploy pipelines (CI/CD).
Provide and implement architectural solutions and for complex data and processing requirements involving large-scale systems and rapid growth.
Manage live microservice-based production environments.
Implement system monitoring procedures and develop procedures accordingly.
Design, implement & develop various solutions according to R&D/Production needs.
Work closely with R&D teams to enable delivering features to production.
Be part of a 24/7 production support on-call rotation.

We are looking for a System Engineer who "speaks" both Network and Code. In this role, you will be the architect of the systems connectivity, designing how our devices communicate over wired LAN infrastructures and ensuring the software architecture supports robust, high-throughput data flow. You will bridge the gap between IT network configuration and R&D software development.

Responsibilities:
System Network Design: Define the networking architecture for complex systems, focusing on Wired LAN configurations, switch management, and topology planning.
E2E device to platform SW features: Collaborate with SW teams to define system-level software features - for example security, configurations, etc...
Network Integration: Lead the integration of system components into customer IT environments (Subnets, VLANs, Firewalls).
Hands-on Coding: Write production-grade code or advanced scripts for system automation, network simulation, and performance testing.
Bottleneck Analysis: Analyze data flows to identify network congestion or software inefficiencies and propose architectural changes.
Security: Define and implement network security protocols (PKI, penetration resilience) within the system design.

We are looking for a highly skilled Full Stack Developer with 5 years of experience in software development, proficient in Python and React. A passion for creating complex features and solving complex problems, as well as designing and architecting business solutions.
About The Role
Design, develop and maintain high-quality web applications using Python and React.
Develop and maintain clean and efficient code
Troubleshoot and debug issues as they arise
Optimize applications for maximum speed and scalability
Participate in the entire software development life cycle, including planning, design, development, testing, and deployment
Collaborate with product managers, designers, and other developers to identify and solve complex problems
Continuously research and evaluate new technologies to improve the product and the development process.

Were seeking a passionate individual who takes pride in delivering exceptional code to join our Machine Learning Engineering team. This team is at the heart of implementing and deploying cutting-edge computer vision-based algorithms, driving the development of our next-generation solutions.
About The Role
Design, develop, and maintain robust, production-grade software solutions that power our AI and computer vision systems.
Develop and optimize infrastructure supporting AI models, including training pipelines, deployment frameworks, and model serving at scale.
Work closely with algorithm engineers to translate research and model prototypes into high-quality, production-ready code.
Take ownership of all software aspects related to edge devices, including operating systems, device security, deployment, and performance optimization.
Identify bottlenecks and write highly optimized code, utilizing various hardware accelerators to maximize system efficiency.
Actively participate in architecture discussions and contribute to design decisions throughout the development lifecycle.
Promote and strengthen the teams engineering culture by adopting and implementing best practices, high coding standards, and robust testing methodologies.