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לפני 3 שעות
Location: More than one
Job Type: Full Time
what if your Python automation caught a critical asic bug before the physical silicon was even manufactured? our simulation platforms make that happen every release cycle! we are the system ethernet QA team at our r&d center, responsible for the testing and qualification of virtual networking silicon (simx) and software-from l2 forwarding and l3 routing to overlays, qos, and security. with simx, developers and QA engineers get hardware-free, early access to the asic for better debugging.
we are looking for a senior QA software engineer who combines network protocol expertise with strong Python automation skills. does debugging a bgp evpn route leak excite you as much as refactoring a TEST framework? then we should talk!
what you'll be doing:
we don't just complete checklists; we collaborate closely with r&d to lead the quality of new features from design to deployment. in this role, we:
review architectural designs and requirements for new features introduced to the product
drive the design, development, and execution of tests across functional, performance, and security scopes as part of sw ga and update releases
develop Python automation suites built on clean oop principles
chase down defects and validate fixes until we fully resolve the root cause
leverage the simx platform to validate code and debug the asic long before hardware arrives
Requirements:
combined network engineering depth with thorough software habits
5+ years of hands-on QA or networking experience, backed by ccnp-equivalent protocol knowledge: l2 (vlan, STP ), l3 (bgp, ospf), evpn, vxlan, and advanced features like pfc, ecn, roce, and qos
production-quality Python engineering-specifically, strong oop design and hands-on experience with pytest
deep Linux proficiency (at an lpic-1 or lpic-2 level) to navigate system internals, analyze logs, and debug effectively
clear verbal and written communication, with professional proficiency in written and spoken english
b.sc. or or b.a. or equivalent experience in Computer Science, electrical engineering, or a similar background
ways to stand out from the crowd:
experience with docker and traffic generation tools (ixia, trex, scapy)
hands-on experience integrating tests into ci/cd pipelines (jenkins, gitlab ci)
working knowledge of virtualization platforms (kvm, VMware )
This position is open to all candidates.
 
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לפני 3 שעות
Location: More than one
Job Type: Full Time
we are looking for a Software QA Engineer with a strong background in networking and automation to join our infiniband (ib) and nvlink (nvl) switch QA team. our team is responsible for qualifying software stack for our ib switch, router, gateway and nvlink systems, delivering world-class networking solutions.
you will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated TEST suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.
what you'll be doing:
design, develop, and execute manual and automated tests as part of software stack releases.
define, build, and manage testbed topologies for functional, regression, and performance validation.
analyze architectural designs and feature requirements for new networking capabilities.
debug failures, identify root causes, and verify fixes delivered by development teams.
schedule TEST runs, track testing progress, and generate TEST status reports with detailed defect documentation.
write and maintain automation tests across multiple frameworks ( Python, PERL ), enhancing TEST efficiency and scalability.
collaborate with cross-functional global teams including r&d, Product Marketing, and system verification.
Requirements:
what we need to see:
b.sc. in Computer Science, information systems, electrical engineering, or related technical field.
1-3 years of hands-on experience in the field of QA testing
strong understanding of software testing methodologies, TEST planning, and bug lifecycle.
hands-on experience in automation scripting ( Python, PERL, or shell) on Unix / Linux platforms.
familiarity with networking concepts, protocols, and devices (e.g., switches, nics).
strong analytical and debugging skills with an eye for detail.
clear verbal, proficient written and spoken english
ways to stand out from the crowd:
experience in Python automation and working with source control tools (git, gerrit), solid knowledge of Linux and Kernel internals.
hands-on experience with virtualized and mixed computing environments (kvm, VMware, Linux /windows).
experience using generative ai platforms / llms such as gemini, claude, copilot, etc. to develop tools powered by artificial intelligence.
in-depth understanding of tcp/ip, routing protocols, lan switching, and data center topologies.
exposure to QA methodologies, release management, and end-to-end TEST lifecycle. familiarity with our technologies such as infiniband, nvlink, gpus is a strong advantage.
This position is open to all candidates.
 
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30/09/2026
Job Type: Full Time
The Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.

What you'll be doing:
Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency.
System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.
Requirements:
What we need to see:
B.Sc or equivalent experience in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
5+ years of hands-on experience in the software development lifecycle, with a proven track record in performance-critical systems.
Python Mastery: Advanced programming skills in Python, with a focus on writing optimized, efficient, and scalable code for hardware interfacing.
Networking & HW Background: Solid understanding of networking protocols (TCP/IP, InfiniBand, or Ethernet) and hardware-level interaction.
Linux Expertise: Strong familiarity with Linux environments, associated debugging tools, and system-level performance tuning.
Strong analytical and debugging skills.
A highly collaborative great teammate who is also self-motivated, well-organized, and capable of working independently in a fast paced environment.

Ways to stand out from the crowd:
Performance Tooling: Experience with performance profiling, optimization, and low-level hardware communication (e.g., PCIe, I2C).
Low-Level Knowledge: Background in C/C++, RT embedded development, or driver development within a Linux environment.
Technical Leadership: Experience leading technical projects or mentoring team members in a dynamic setting.
Problem Solving: Confirmed experience in root-causing complex system-level issues and solving customer-facing hardware challenges.
This position is open to all candidates.
 
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לפני 3 שעות
Location: Yokne'Am Illit
Job Type: Full Time
we seek an exceptional Network Engineer to join the vertical verification group. as a senior engineer, you will contribute to the vertical verification work, concentrating on validating and improving complex ethernet and infiniband systems within our data center and hpc environments.
you will play a key role in testing advanced networking features, building complex customer-like topologies, and ensuring our products meet industry-leading benchmarks of performance, efficiency, and quality. you will collaborate closely with architects, software engineers, and hardware teams across nic, hca, switches, cpus, and gpus in a fast-paced and highly technical environment. this is an outstanding opportunity to join a highly skilled team and contribute significantly to groundbreaking technology!
what you'll be doing:
review architecture, build, and requirements for new networking features across ethernet and infiniband portfolios
compose and build complex testbed topologies that emulate customer environments
implement, run and optimize integration TEST plans including functional, regression, and performance testing
identify, reproduce, and debug issues; work closely with r&d to drive root cause analysis and resolution
collaborate with automation teams
analyze and optimize network performance, latency, and efficiency
provide clear status updates, reports, and insights on system quality and performance.
Requirements:
what we need to see:
b.sc. in Computer Science, electrical engineering, or related field (or equivalent experience)
8+ years of experience in networking, system validation, or related engineering roles
strong hands-on experience with Linux -based systems
deep understanding of networking protocols (tcp/ip, udp, ethernet, vlans, l2/l3)
experience with routing, switching, and modern data center network architectures
strong troubleshooting, debugging, and analytical skills in distributed environments
experience with TEST methodologies (functional, regression, performance, scale)
scripting or programming experience ( Python, bash, etc.)
independent, fast learner with strong ownership and communication skills
ways to stand out from the crowd:
experience with rdma technologies (roce / infiniband)
knowledge of congestion control algorithms and performance tuning
familiarity with ai workloads and their networking requirements
experience with hpc environments and benchmarking tools
background with virtualization or container technologies (kubernetes, kvm, etc.).
This position is open to all candidates.
 
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30/09/2026
חברה חסויה
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking a passionate QA Engineer to join our FW testing team. This position will be part of our growing team, helping NVIDIA products meet industry-leading benchmarks for efficiency and quality. As a Firmware QA Engineer, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards.


We are looking for ideal candidates who will actively test industry-leading features in the FW sector, quickly learn new features, conduct both manual and automated testing, and contribute to the development of automation systems.


What you'll be doing:
Review arch design and requirements documents for new features introduced in the Nvlink program.
Join the effort of QA shift left towards simulation for NVL7 generation.
Design, develop, and perform tests for the new features, as part of FW GA or update releases.
Automate newly added tests in the existing automation framework, and add new capabilities and features to the framework.
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed.
Fully collaborate with different external teams like : :product marketing, R&D, and verification.
Define and build setups topologies for appropriate product coverage.
Requirements:
What we need to see:
Practical / BSc in Computer Science or Electrical/Electronics Engineering.
0-3 years of proven experience.
Clear verbal and written communication, proficient in written and spoken English.
Self-reliant individual, capable of planning and carrying out tasks within their assigned area.
Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.

Ways to stand out from the crowd:
Scripting skills and proven experience in Python or other programming languages.
Proven experience in QA - methodologies, and test design.
Working in a fast-paced environment with multiple parallel running activities.
Knowledge/experience in Networking protocols.
Knowledge of Linux/Windows OS.
This position is open to all candidates.
 
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30/09/2026
Location: More than one
Job Type: Full Time
We are looking for a talented Senior Software infrastructure and tools Engineer to join the Data Processing Unit (DPU) SW Group. As a part of the team, you will lead complicated integrations which combining new technologies, automating processes, bringing up full software stacks, developing system scripts for cutting edge networking technologies with the quality requirements of industry-leading customers. You will work closely with our SDK development and gain an understanding of our products and technologies.

What youll be doing:

Crafting efficiency and usability improvements across our proprietary products that will help streamline various release pipelines and processes across us.

Definition and development of SDKs to be used for DPU SW development.

POC of new technologies that require additional development/integration efforts.

Creating and maintaining build system for complex SW products.

Developing tools using our various proprietary and other cutting-edge technologies.

Collaborate with team members, Architects, design, QA teams, and verification.
Requirements:
What we need to see:

B.Sc. or equivalent experience in Computer Science, Computer/Software Engineering or related field.

5+ years work experience in a software development.

Strong programming skills in Python, Go, and Bash.

Strong understanding of Linux and networking.

Solid expertise in Linux build systems, encompassing RPM and Makefiles.

Experience with Docker, Ansible, and Jenkins pipelines.

Proven object-oriented programming skills and design patterns.

Motivated, responsive, and keen on process improvement.

Excellent Analytical, debugging, and problem-solving skills.

Ways to stand out from the crowd:

Experience with bootloaders.

Contribution to open-source projects.

Experience working with SoC.

Familiar with other SDK such as CUDA SDK.

Strong interest towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.
This position is open to all candidates.
 
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30/09/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are at the forefront of the AI revolution, delivering brand new accelerated compute platforms for global impact. Our Network Architecture group is seeking a talented and motivated Sr. Software Engineer to build the agentic workflows that our architects use in their daily work. The software at the center of this role is our hardware network simulation environment - you will design multi-step agent workflows over it, engineer the context that grounds them in our own specifications and source code, and optimize their runtime performance. If you are passionate about building the practical infrastructure that brings intelligent agents to life, we want to hear from you.


What you'll be doing:
Build agentic workflows - loops, graphs, and multi-step pipelines - that carry real hardware network simulation and analysis work end to end.
Engineer the context these workflows run on, turning our simulation models, specifications, design documents, and source code into context that makes agents accurate in our domain.
Work closely with network architects to understand their workflows and translate them into agent workflows they use daily.
Optimize the runtime performance of our simulation tooling on these platforms, including execution time, compute cost, and end-to-end latency.
Define evaluation and regression testing for agent workflows, so that changes to a prompt, a graph, or a context source are measurable.
Build observability across agent runs: what the agent did, where it failed, and why.
Champion guidelines for secure and reliable agent workflows, including data handling, access control, and interaction boundaries.
Serve as a key technical resource for solving sophisticated integration issues between agents and internal tooling.
Requirements:
What we need to see:
B.Sc. or above in Computer Science, Computer Engineering, or a related field, or equivalent experience.
5+ years of hands-on experience in software engineering, with demonstrated ownership of production systems from design through deployment.
Expert-level programming skills in C++, with strong Python skills alongside it.
Strong understanding of the full stack, including hardware: memory, I/O, networking, accelerators, and where real performance bottlenecks occur.
Current, practical knowledge of how to build systems around AI models: agent loops, tool interfaces, context retrieval and management, and common failure modes.
Understanding of inference serving, including request lifecycle, batching, caching, and the tradeoffs between throughput, latency, and cost.


Ways to stand out from the crowd:
Experience writing hardware simulation software - network, system, or architectural simulators, models, or testbenches.
Networking experience - protocols, fabrics, switching, or RDMA - and experience working alongside silicon, systems, or architecture teams.
Hands-on experience with inference serving engines such as vLLM, TensorRT-LLM, or Triton Inference Server, including low-level internals such as KV cache, batching and scheduling, and quantization, and related performance work such as profiling and GPU programming.
Hands-on experience building or fine-tuning LLMs or other generative models.
Agent workflows, tooling, or context pipelines adopted by other engineering teams.
This position is open to all candidates.
 
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29/09/2026
Location: Tel Aviv-Yafo and Ra'anana
Job Type: Full Time
We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.
Requirements:
What We Need to See:

Bachelors/masters degree in computer science or computer engineering, or equivalent experience

5+ years of experience in software testing, QA automation, or software engineering.

Strong proficiency in Python and scripting for automation.

Solid experience with Linux-based environments, including system tools and command-line utilities.

Proven understanding of computer networking and modern Linux operating systems.

Familiarity with software testing, integration, and system validation practices.

Excellent problem-solving, critical thinking, and communication skills.

Ability to work independently, manage multiple tasks, and drive technical initiatives.

Great interpersonal skills, agility, and determination for success.

Fluent English; strong presentation and public speaking abilities.

Ways to Stand Out from the Crowd:

Deep technical know-how and familiarity with networking protocols or low-level system tools.

Experience with Docker, KVM, or other virtualization technologies.

Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and test reporting tools (e.g., Allure, Grafana, Kibana).

Experience with large HW+SW systems and advanced Linux OS technologies.

Proficiency with GIT, Bash, and other scripting languages.
This position is open to all candidates.
 
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לפני 3 שעות
Location: Tel Aviv-Yafo and Ra'anana
Job Type: Full Time
we are seeking a talented and driven senior software Verification engineer to join our innovative team and tackle sw verification challenges in the domains of high-speed networking, virtualization, and security. you will play a key role in validating and testing complex software products that support ethernet and infiniband protocols, delivering advanced networking, Storage, and security services for cloud, compute, and ai workloads.
what you'll be doing:
develop and automate testing: design, implement, and maintain automated TEST scripts and frameworks (primarily in Python ) to verify the correct functionality of our software products.
end-to-end feature ownership: deep dive into feature sets, taking responsibility from TEST planning through to final implementation and full automation.
system & integration validation: validate software functionality and performance through system -level and integration testing, utilizing Linux -based environments and virtualization tools.
TEST environment management: set up, maintain, and optimize TEST environments using Linux, docker, virtual machines, and other modern tools.
collaboration & communication: work closely with software, DevOps, architecture, and product teams to define TEST requirements, coordinate releases, and ensure high-quality product delivery.
continuous improvement: drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
defect analysis: analyze TEST results, file defects, and track issues to closure, ensuring robust and scalable solutions.
 
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Requirements:
what we need to see:
bachelors/master's degree in Computer Science or computer engineering, or equivalent experience
5+ years of experience in software testing, QA Automation, or software engineering.
strong proficiency in Python and scripting for automation.
solid experience with Linux -based environments, including system tools and command-line utilities.
proven understanding of computer networking and modern Linux operating systems.
familiarity with software testing, integration, and system validation practices.
excellent problem-solving, critical thinking, and communication skills.
ability to work independently, manage multiple tasks, and drive technical initiatives.
great interpersonal skills, agility, and determination for success.
fluent english; strong presentation and public speaking abilities.
ways to stand out from the crowd:
deep technical know-how and familiarity with networking protocols or low-level system tools.
experience with docker, kvm, or other virtualization technologies.
knowledge of ci/cd tools (e.g., jenkins, gitlab ci) and TEST reporting tools (e.g., allure, grafana, kibana).
experience with large hw+sw systems and advanced Linux os technologies.
proficiency with git, bash, and other scripting languages.
if you are creative, autonomous, and passionate about delivering world-class software solutions, we want to hear from you! join us and work alongside some of the most forward-thinking and dedicated professionals in the industry.
This position is open to all candidates.
 
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לפני 3 שעות
Location: Ra'anana
Job Type: Full Time
we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's a unique legacy of innovation that's fueled by great technology-and amazing people. we are now seeking a highly motivated infrastructure, tools & ai engineering manager to join our ethernet switching group, working on sonic network os. in this role, you will own and drive the engineering infrastructure that powers the full product development lifecycle - from development environments and ci pipelines through regression, code coverage, and TEST efficiency. you will apply cutting-edge ai and llm capabilities to transform how we analyze failures, generate TEST coverage, and accelerate product quality.
what you'll be doing:
lead and mentor a team of infrastructure and tooling engineers; set technical direction, define priorities, and grow team capabilities
design, build, and maintain scalable infrastructure for development, integration, and TEST environments supporting sonic os.
architect and deliver llm-based tools for intelligent regression analysis - failure classification, root cause clustering, anomaly detection, and TEST flakiness prediction
lead efforts to reduce regression runtime through parallelization, smart TEST selection, and dependency-aware scheduling
develop deep technical knowledge of sonic network os internals, including its subsystem architecture, sai/asic abstraction layer, and management plane
Requirements:
what we need to see:
b.sc. degree or equivalent experience in engineering/ Computer Science /related field
8+ overall years of software engineering experience, with at least 3 years of experience in a leadership role, managing software development teams
proven ability to lead technical teams: hiring, mentoring, technical roadmapping, and cross-team influence
experienced with developing software testing tools and tests infrastructure
strong Python programming skills; experience building production-quality automation frameworks and tooling
demonstrated experience designing and operating ci/cd systems at scale (jenkins, gitlab ci, github actions, or equivalent)
hands-on experience with llms or ai-assisted Developer tooling - building, integrating, or productizing ai capabilities in an engineering workflow
strong analytical and problem-solving skills with a bias toward measurable outcomes and data -driven decisions
ways to stand out from the crowd:
deep Linux expertise: system internals, networking stack, process management, and scripting
prior experience building llm-powered TEST analysis pipelines or ai-enhanced DevOps tooling in a real production environment
knowledge of networking protocols and hardware: ethernet switching, l2/l3 protocols, qos, vlans, high-performance data center networking
experience with code coverage instrumentation in large-scale C / Python codebases and using coverage data for TEST prioritization
track record of measurably improving regression runtime, TEST reliability, or ci throughput in a complex Embedded or systems software environment
This position is open to all candidates.
 
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28/09/2026
Location: Ra'anana and Yokne`am
Job Type: Full Time
We are looking for an Engineering Manager to join our Network System Validation group. You will work on system validating advanced networking solutions across our complex AI cluster environments. The group is a high-performance engineering force that treats validation as a first-class software problem. We build systems, frameworks, and benchmarks that prove our network's correctness and performance at scale. In this role you will lead the validation direction and engineering excellence of one of our technology validation teams. This is a management role for a technology leader who can own the technical roadmap and execution, mentoring a team of high-performance engineers, and push our network to its speed-of-light limits. This role combines the development of methodologies and automation tools with system validation, performance analysis, and investigation of cutting-edge AI networking technologies at scale.

What youll be doing:

Lead, mentor, and coach a team of software development and system validation engineers.

Review system and product requirements, design validation methodologies, develop comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions.

Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis.

Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution.

Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection.

Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations.

Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes.

Foster a team culture centered on software quality, accountability, and technical excellence.
Requirements:
What we need to see:

B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience.

8+ overall years of experience in networking, system validation, or related domains.

3+ years of experience leading software or system development team.

Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause.

Strong scripting and automation experience using Python, Bash, and/or Ansible.

Ability to read, debug, and reason about C/C++ code (Rust or Go a plus).

Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed.

Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines.


Ways to stand out from the crowd:

Experience with large-scale clusters or distributed systems.

Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField).

Background in performance analysis, Kubernetes, or cloud environments.

Background in chaos testing, fault injection, or simulation systems.
This position is open to all candidates.
 
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