דרושים » הנדסה » senior networking solution TEST engineer, ai cluster debugging

Requirements:
What we need to see:

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

5+ years of hands‑on networking or system‑level testing and debugging on Linux.

Strong Linux networking and debugging skills (for example perf, tcpdump, ethtool, iproute2).

Proven production‑grade debugging experience: forming hypotheses, running experiments, and driving issues to root cause under pressure.

Expertise in host‑side NIC validation and tuning (offloads, queues, interrupts, firmware/driver interactions).

Strong knowledge of AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA), including performance and correctness debugging.

Ability to read and reason about source code (C/C++/Python or similar) and collaborate closely with developers on fixes.

Solid scripting and automation skills with Bash / Python / Ansible for setup, log collection, and experiment orchestration.

Fast learner, familiar with modern AI tools and workflows, able to adapt quickly.

Excellent analytical, problem‑solving and communication skills, with strong ownership and a collaborative mindset.

Ways to stand out from the crowd:

Hands‑on debugging of collective communication libraries (for example NCCL) or large‑scale LLM training / inference clusters.

Experience with large cluster environments (tens to thousands of GPUs or nodes), including incident response and post‑mortem analysis.

Deep expertise in tuning and debugging congestion control and lossless Ethernet for AI workloads (for example DCQCN, ECN, PFC).

Familiarity with NVIDIA networking technologies (for example BlueField / BF3, ConnectX NICs) and their software stack and diagnostics.

Experience debugging issues that span multiple layers (L2/L3, transport, AI frameworks) or contributing to open‑source networking / AI systems.

Requirements:
What we need to see:

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

5+ years of hands‑on networking or system‑level testing and debugging on Linux.

Strong Linux networking and debugging skills (for example perf, tcpdump, ethtool, iproute2).

Proven production‑grade debugging experience: forming hypotheses, running experiments, and driving issues to root cause under pressure.

Expertise in host‑side NIC validation and tuning (offloads, queues, interrupts, firmware/driver interactions).

Strong knowledge of AI networking libraries (such as NCCL) and protocols (such as RoCE and RDMA), including performance and correctness debugging.

Ability to read and reason about source code (C/C++/Python or similar) and collaborate closely with developers on fixes.

Solid scripting and automation skills with Bash / Python / Ansible for setup, log collection, and experiment orchestration.

Fast learner, familiar with modern AI tools and workflows, able to adapt quickly.

Excellent analytical, problem‑solving and communication skills, with strong ownership and a collaborative mindset.

Ways to stand out from the crowd:

Hands‑on debugging of collective communication libraries (for example NCCL) or large‑scale LLM training / inference clusters.

Experience with large cluster environments (tens to thousands of GPUs or nodes), including incident response and post‑mortem analysis.

Deep expertise in tuning and debugging congestion control and lossless Ethernet for AI workloads (for example DCQCN, ECN, PFC).

Familiarity with our networking technologies (for example BlueField / BF3, ConnectX NICs) and their software stack and diagnostics.

Experience debugging issues that span multiple layers (L2/L3, transport, AI frameworks) or contributing to open‑source networking / AI systems.

Requirements:
what we need to see:
b.sc. or m.sc. in Computer Science, computer engineering, software engineering, or equivalent experience
5+ years of experience in performance analysis, systems engineering, or hpc/ai infrastructure
demonstrated expertise in performance analysis skills and methodologies
hands-on experience with high-performance networking (rdma, mpi, nccl, congestion control)
strong understanding of  system performance metrics (latency, throughput, resource utilization)
exposure to hardware, firmware, or Embedded telemetry environments
strong analytical, problem-solving, and communication skills
ability to work effectively in cross-functional, fast-paced r&d teams
ways to stand out from the crowd:
knowledge of cuda, nccl internals, and congestion control algorithms
deep system -level understanding of cpu architectures, gpus, hcas, memory, and pcie
experience with nvidia gpus, cuda, and deep learning frameworks such as pytorch or tensorflow
experience with cloud platforms 
proficiency in  Python ; experience with bash and C / C ++ is a plus as well as a strong experience working in  Linux environments

Requirements:
What we need to see:

B.A./B.Sc. in Computer Science or Electrical Engineering or equivalent experience as IT/Network Engineer.

2+ years of practical experience.

Strong Hands-on experience in Linux based platform.

Experience with L2 & L3 network protocols.

Fast and self-learner with outstanding technical skills.

Independent, responsible worker, able to plan and complete.

Effective trouble shooting and problem-solving skills.

Standout colleague with good communication and interpersonal skills.

Ways to stand out from the crowd:

Experience with virtualization technologies (KVM, HyperV, VMWARE, OpenStack, Kubernetes).

Experience in Congestion Control/DCQCN, Switches and knowledges about collective communication: NCCL, MPI etc.

Scripting skills and experience: Bash / Python.

Requirements:
what we need to see:
b.sc in Computer Science or software engineering
5+ years of experience with high-performance networking technologies (rdma, Storage, security, ovs, mpi)
3+ years as an engineering team manager
demonstrated performance analysis skills and methodologies.
experience with cluster level performance, telemetry, nic, dpus, switches, and gpus.
fast and self-learning capabilities with strong analytical and problem solving skills
programming languages: Python, bash and C / C ++ languages
experience with Linux os distros
team player and a leader with good communication and interpersonal skills
ways to stand out from the crowd:
deep system -level architecture knowledge (intel / amd / arm cpus, nvidia gpus, hca/dpu architecture, memory subsystems, pcie, Storage, nvlink).
strong expertise in rdma networking performance and ai communication stacks (e.g., nccl).
proven experience analysing ai workload communication patterns and benchmarking distributed llm training workloads at scale.
experience designing telemetry frameworks, monitoring pipelines, and performance dashboards for large clusters.
familiarity with modern ai tooling including performance-driven agents, automation pipelines, and rag-based applications.

Requirements:
what we need to see:
b.sc. in engineering or ccnp certificate
3+ years of proficiency in networking fundamentals, configuring ethernet switches, understanding the tcp/ip stack, and data center architecture.
excellent knowledge of windows and Linux (redhat/centos and ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, acls and os level security protection and common protocols e.g. tcp, dhcp, dns, etc.
proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance Customer Experience.
provides ad-hoc knowledge transfers, develops handover materials, and offers deployment support for engagements.
ways to stand out from the crowd:
combination of interpersonal skills and technical competence
knowledge of hpc and ai solution technologies from cpus and gpus to high speed interconnects and supporting software
experience with multiple Storage solutions such as lustre, gpfs, and newer and emerging Storage technologies.
automation tooling background (ansible, salt, puppet etc.).
we are widely considered to be one of the technology worlds most desirable employers! we have some of the most forward-thinking and hardworking individuals in the world working for us. if you're creative and autonomous, we want to hear from you!
#il-hybrid

Requirements:
what we need to see:
bachelors degree in Computer Science, computer engineering, electrical engineering, or equivalent practical experience.
5+ years of experience in system -level software verification or low-level software engineering.
strong Python programming skills
strong hands-on Linux expertise (boot flows, system services, networking stack, systemd, Kernel interaction)
experience debugging complex multi-layer issues with a structured, evidence-based approach.
experience working with real hardware platforms in addition to virtualized environments.
strong analytical mindset with ability to independently drive technical investigations.
excellent communication skills and ability to influence across teams.
ways to stand out from the crowd:
experience validating firmware-integrated platforms (dpus, smartnics, Embedded systems, networking devices).
familiarity with bluefield architecture and doca sdk.
experience with secure boot, bootloaders, or system provisioning flows.
background in networking, data center infrastructure, or distributed systems.
experience in ci methodology & servers (e.g. gerrit, jenkins etc.)
widely considered to be one of the technology worlds most desirable employers

Requirements:
what we need to see:
b.sc. degree or equivalent experience in Computer Science / software engineering
5+ years of experience
proficient knowledge and experience in C for an Embedded environment
strong design, coding, analytical, debugging, and problem-solving skills
full ownership & end-to-end responsibility
excellent social and written communication skills
ways to stand out from the crowd:
can do attitude, independency and agility
ability to quickly adapt to new technology and go deep into new areas
knowledge of Embedded processing, especially with the risc-v processor, is an advantage
knowledge of Linux Kernel and driver development is an advantage
nvidia is 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!

Requirements:
What We Need to See:

Bachelor's or master's degree in electrical engineering, Computer Engineering, or Software Engineering with significant hardware/electronics coursework or hands-on experience.

5+ years of hands-on experience in hardware-software integration, low-level driver development, or firmware development with proven ability to lead technical projects.

Strong proficiency in one or more programming languages such as Python, Java, C#, with additional experience in C/C++ for low-level programming.

Demonstrated ability to read and interpret electrical schematics, block diagrams, and hardware datasheets.

Experience with hardware debugging tools such as oscilloscopes, logic analyzers, JTAG debuggers, or similar instruments.

Excellent problem-solving skills in developing software solutions for sophisticated hardware-software interactions. Ability to collaborate with hardware teams, demonstrating deep technical ownership of hardware-software integration projects.


Ways To Stand Out from the Crowd:

Hands-on experience with PCIe, I2C, SPI, UART, or other hardware communication protocols. Experience developing device drivers for Windows or Linux environments.

Background in embedded systems, microcontrollers, DSPs, FPGAs, or custom ASIC integration. Experience wrapping native C/C++ libraries into managed DLLs for .NET/C# applications.

Knowledge of hardware validation methodologies and experience with automated hardware test equipment. Previous work in networking hardware, high-speed interconnects, or semiconductor validation environments.

Strong ability to bridge communication between hardware and software teams, translating hardware requirements into software solutions.

Requirements:
what we need to see:
practical / ba in Computer Science /engineer or electrical engineer
at least 5+ years of hands-on experience in QA / networking
proven networking knowledge and hands-on experience (switching & routing)
confident understanding of the following: routing protocol: bgp/evpn, vxlan/ospf. multicast features: pim/igmp. qos features: pfc/ecn/roce and more
automation / scripting skills and experience in Python and Linux bash
ability to handle several tasks in parallel. optimally prioritize and responsibly execute them
clear verbal and written communication, proficient written and spoken english
ways to stand out from the crowd:
ccnp/ccie certification or similar
experienced in Python automation and source control tools like git/svn
good Linux and Linux Kernel knowledge. lpic-2 Linux administration level
experience with various compute and virtualization environments: Linux kvm, VMware, esxi