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we are now looking for a chip design engineer to join our switch silicon team for verification / design roles. as a chip design engineer at our networking business unit, you'll join a group of passionate engineers to design, implement and verify the next generation state-of-the-art switch silicon chips. in this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!
what you'll be doing:
work in a combined design and verification team which develops some of the switch silicon core units.
micro-architecture for rtl and simulation environment planning for units and modules.
design/verify rtl units/blocks according to arch. specifications under challenging constraints with high orientation to power, area, and performance.
build reference models, verify, and simulate chip blocks/entities according to specifications.
rtl synthesis, timing, supporting verification, and silicon post to activities.
work closely with multiple teams within organizations such as architecture, full chip micro-architecture, be, and fw.

were currently seeking a senior Developer technology engineer, artificial intelligence. would you enjoy researching parallel algorithms to accelerate ai workloads on advanced computer architectures? do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like nvidia? if so, the Developer technology team invites you to consider this role. 
what you will be doing:
in this position, you will research and develop techniques to gpu accelerate workloads in deep learning, Machine Learning or other ai domains.
work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex ai and hpc algorithms to ensure optimal ai solutions on modern cpu and gpu architectures.
publish and/or present discovered optimization techniques in Developer blogs or relevant conferences to engage and educate the Developer community.
influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at nvidia.

looking for firmware engineer to join a team that works on nvidia ethernet switch. you will take part as a fw micro architect in full-cycle firmware development for new and existing products using modern software development tools and approaches.
if you're creative, responsible, hardworking, and autonomous, we want to hear from you!
what you'll be doing:
closely work with sw & hw architecture and different software develop teams to define the fw architecture for new features/improvements.
identify & diagnose high-value data path performance issues.
aim for high quality thinking and creative ways to improve fw performance, scalability and working methodologies.
you will learn how a big software project is operated, maintained, qualified and released, and how hardware and firmware are developed.
collaborate with other nvidia r&d teams around the globe.

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 now looking for a versatile, fast learner, and highly motivated fe integration and eda tools engineer! as a member of our switch organization, you will be part of frontend integration and eda flows for a highperformance, lowpower switch chip. our fei team drives methodologies, automation, and quality for our frontend implementation and cd/ci, working closely with architecture, design, verification, and backend teams. this position offers you the opportunity to have real impact in a dynamic, technologyfocused company influencing future switch product lines. 
what you'll be doing:
driving frontend integration of major blocks in a pioneering ethernet switch asic, from rtl handoff through synthesis and signoff checks.
building, maintaining, and improving eda flows and methodologies for the switch org (lint, cdc/rdc, formal, synthesis/uls, fedct/fefc and related frontend signoff flows).
working closely with logic design and microarchitecture teams to define integration constraints, clocks/resets, interfaces, and quality targets.
partnering with dv, be, and cad/flow teams to ensure robust, scalable, and efficient frontend implementation across the project.
developing automation and infrastructure (scripts, regression flows, dashboards) to improve productivity, and debuggability.
debugging complex tool, flow, and design issues; driving rootcause analysis and longterm methodology improvements.

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.

We seek an experienced Full Stack Engineer with expertise in Flutter, capable of driving projects from concept to completion end to end, including backend development. The ideal candidate is a self-starter, able to work independently but also lead team initiatives. Experience in Python, Go or Angular can also be a significant plus.

Responsibilities:
Develop and implement complex and user-friendly interfaces using Flutter.
Be the Mobile authority - develop our standards, best practices and architectural guidelines.
Deliver end-to-end solutions, including backend services and APIs, using Python or Go.
Collaborate closely with the product and platform teams to deliver comprehensive solutions.
Lead new projects and initiatives within the team, ensuring deadlines are met.

We are looking for an experienced System Engineer to lead the definition and integration of our next-generation wireless IoT systems. You will possess a unique "end-to-end" perspective: understanding the physics of the RF/Analog silicon, the intricacies of the BLE protocol, and the full integration between devices to network connectivity. You will work closely with Silicon, FW, and Cloud teams to ensure robust connectivity and optimized power consumption.

Responsibilities:
System Architecture: Define system-level requirements for Wireless IoT products, focusing on RF performance, power budgets, and data throughput. Faimilairy with in-door wireless including antenna design consideration is an advantage.
Silicon & RF Interface: Work with Silicon development teams to define RFIC specs and resolve integration challenges (Analog/RF mixed-signal flows).
Connectivity Pipeline: Define the HW to Firmware to Ethernet or wireless pipeline.
Integration & Debug: Hands-on bring-up of new silicon/hardware in the lab, debugging complex issues spanning from RF interference to network protocol failures.

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 Junior Tech CSM.
Responsibilities:
Receive and process customer orders for SIM cards through various channels (phone, email, online, etc.)
Pack, and prepare SIM card orders for shipment
Activate SIM cards using the companys activation platform or software
Ensure all orders are fulfilled in a timely and efficient manner
Maintain inventory levels of SIM cards and notify management of any stock discrepancies
Package orders securely using appropriate materials to prevent damage during shipping
Collaborate with shipping/logistics team to ensure smooth delivery of orders
Provide excellent customer service and handle any order-related inquiries or issues
Adhere to all company policies, procedures, and quality standards
Guide customers through troubleshooting steps, including configuration checks, module diagnostics, and network testing.
Assist customers in configuring and setting up IoT devices, cellular modules, and gateways for seamless integration with cellular networks.
Assisting with other tasks provided by other team members
Identify needs for training and schedule appropriately to conduct
Working together with other team members in order to improve customer Service procedures

We are looking for a Data Operations Team Lead to lead and scale our data operations function. This role sits at the intersection of data, algorithms, and operations, and is critical to the success of our computer vision and AI models.
You will lead a distributed team responsible for data collection, annotation, quality control, and delivery, while working closely with Algorithm teams to understand model needs, prioritize requests, and ensure reliable, high-quality data pipelines.
This is a hands-on leadership role - you will manage people and processes, but also actively design, build, and improve data workflows.
About The Role
Lead and manage the Data Operations team, including annotation teams in Israel and a large remote team in India
Serve as the primary interface between Data Operations and Algorithm teams: understand model requirements, prioritize tasks, and plan data delivery
Own end-to-end data workflows, from model improvement needs through data definition, annotation guidelines, execution, and delivery
Ensure high data quality through close monitoring, validation, troubleshooting, and root-cause analysis
Design and maintain clear annotation guidelines, documentation, and training materials
Closely manage remote annotation teams, including weekly syncs, hands-on oversight, and deadline management
Own and operate the annotation pipeline using industry tools (e.g., CVAT)
Monitor progress, track performance, and continuously improve efficiency and quality
Own annotation budgets, monthly reporting, and validation of hours and outputs
Evaluate, benchmark, and implement new tools and processes in the data and annotation domain
Work hands-on with scripts, AI tools, and monitoring systems as needed to support data quality and operations.

The AI team is building deep neural networks and computer vision algorithms for our smart-cart solution. Including identification of which product was inserted into the cart from a set of up to hundreds of thousands of different products in stores around the world.
The team includes Algorithm researchers and Data operations who together build a scalable training-pipeline, capable of training on millions of images for multiple tasks.
About The Role
Own the full development cycle - from researching a problem, defining the required dataset, implementing an efficient model, deploying it to production, and improving it upon real-world results.
You will work on computer-vision problems such as object detection, fine-grained classification, computational geometry, localization, tracking, and more.
Use, adapt and improve state-of-the-art implementations and adjust them to various project needs.

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.

We are looking for a passionate and experienced QA Tech Lead to take ownership of quality across our products and lead our QA efforts from a technical perspective. This is a senior, hands-on role, focused on manual testing, technical leadership, and close collaboration with multidisciplinary R&D teams.
As a QA Tech Lead, you will shape QA methodologies, lead the QA team technically, and ensure the delivery of high-quality, reliable systems built on AI, computer vision, and hardware-software integrated solutions. You will thrive in a high-pace, dynamic environment with frequently changing priorities, while maintaining high professional standards and strong cross-team collaboration.
This is a full-time, on-site position (5 days a week from the office).
About The Role
Perform hands-on manual testing of complex AI-driven and HW-SW integrated systems
Define, implement, and continuously improve QA processes, methodologies, and best practices
Own quality throughout the full product lifecycle, from requirements to production
Plan QA activities based on business and technical priorities, adapting quickly to changing needs
Work closely with all R&D teams
Identify risks, prioritize issues effectively, and ensure timely and high-quality deliveries
Strengthen the companys quality culture by promoting ownership, accountability, and collaboration
Lead the QA team technically, providing hands-on guidance and setting high standards for quality.