לוח משרות דרושים מהנדס חשמל

Requirements:
Minimum Qualifications:
MSc/PhD student in Electro-Optics, Physics, or Electrical Engineering.

Preferred Qualifications:
Creative & analytical, good at critical thinking and problem-solving.
Proficient in one or more computer languages (e.g. Matlab, Python, etc.)
Background in electro-optics is required.
Experienced in analysis of data, and communicating results in a clear and concise manner.
A reliable standout colleague that can be counted on to produce high quality results on time.
Ability to work well in a collaborative, highly cross-functional and fast paced environment.
Excellent written and verbal communication skills.
Experience in some of the following is an advantage:
Camera, computer vision, image processing.
Imaging, measurement & test systems, optical instrumentation.

Requirements:
Minimum Qualifications:
- B.Sc in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent professional experience.
- Proven experience as a QA or infrastructure software engineer with the ability to independently manage validation efforts.
- Strong skills in at least one high-level language (e.g., Python, C#, Java).
- Understanding of Unix operating systems.
- Experience building test frameworks, automation infrastructure, or CI/CD systems.
- Strong analytical, problem-solving, and debugging skills.
- Skilled in testing methodologies, test planning, and defining validation strategies.
- Strong project and time management skills.
- Excellent communication skills in English.

Preferred Qualifications:
- Strong experience with Python.
- Experience working in C/C++
- Experience designing developer-facing tooling or internal platforms.
- Strong understanding of software development cycles.
- Experience working with Unix kernel technologies.

Requirements:
Requirements:
Education: Electrical Engineer/Physics.
2-3 years of experience as a test Engineer, more years of experience - advantage.
Experience in writing test programs for Sort/FT (working on Teradyne platform is an advantage).
Familiar with Lab equipment such as: Scope, Power Supplies, Power meters, etc.
Excellent written and verbal communication skills (Hebrew and English).
Knowledge in DFT - Design for Test - advantage.
Data analysis of production results - advantage.
Statistical software knowledge - advantage.
Failure Analysis experience - advantage.
RF knowledge - advantage.
Experience in HW design/definition - advantage.
Experience in a mass production environment - advantage.

Personal:
Self-motivated and independent learner.
Ability to see the overall picture.
Get stuff done mentality.
Quality driven.
Ability to work on long-term tasks.
Teamwork.

Requirements:
Education: electrical/electronics engineer or practical engineer Knowledge in electronics, mechanics, and software Ability to locate a fault down to the component level Experience in one or more relevant fields: Automated testing equipment Electronics manufacturing Board design Electronic failure analysis Lab equipment and TEST It would be a great advantage if you are experienced in: Electronic debug in manufacturing Additional Skills: Fast learner, teamwork Good verbal and written communication (English)

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.