דרושים » הנדסה » senior physical design verification layout engineer

Requirements:
What we need to see:
B.SC./ M.SC. in Electrical Engineering
You should have at least 5+ years of hands-on Physical Design 'Place and Route' experience, demonstrating your proven expertise.
A strong background in Physical Design methodology, including Synthesis, Floorplan, CTS and Routing, is necessary.
Sign-off stages experince such as , 'STA', 'PV', 'LEC' and 'EMIR'.
In-depth knowledge of advanced silicon process technologies.
Familiarity with physical build EDA tools, including Synopsys and Cadence.
A great teammate who thrives in a collaborative environment.
AI tools orientation or alternatively a desire to learn.

Ways to stand out from the crowd:
AI prompting experience.
Experience in Linux environments.
TCL, Python, shell scripting abilities.
Experience with data collection and analysis.
Understanding of the chip and die verification process.

Requirements:
what we need to see:
b.sc./ m.sc. or equivalent experience in electrical engineering/computer engineering.
2+ years of experience in physical design and/or be power optimization aspects.
familiarity with physical design eda tools (such as synopsys, cadence, etc.).
knowledge in physical design flows and methodologies (pnr, sta, physical verification) is an advantage.
fe design experience is an advantage.
excellent problem-solving, partnership, and interpersonal skills.
our company has some of the most forward-thinking people in the world working for us. are you a creative and autonomous engineer who loves a challenge? are you ready to become the engineer you always wanted to be? come and be part of the best physical design team in the industry!

Requirements:
b.sc./ m.sc. in electrical engineering.
at least 5+ years of hands-on sta experience.
experience in prime time and signoff methodologies.
a great teammate who thrives in a collaborative environment.
ai tools orientation or alternatively a desire to learn.
ways to stand out from the crowd:
agentic frameworks.
ai prompting experience.
experience in Linux environments.
tcl, Python, shell scripting abilities.
experience with data collection and analysis.

Requirements:
what we need to see:
b.sc. or above in electrical engineering or computer engineering.
5+ years of validated experience.
professional verification experience, knowledge in advanced verification methodologies and tools.
a team player with excellent communication and interpersonal skills.
strong debugging, problem solving and analytical skills.
demonstrates deep understanding in design and verification logic.
self-motivated, ability to work independently and drive tasks to completion. 
ways to stand out from the crowd:
prior design or verification experience of high-speed interconnects, smart nic and/or SOC.
experience in developing verification environments in Specman and/or prior knowledge in verilog.
knowledge in network protocols.

Requirements:
what we need to see:
electrical engineering b.sc. or computer engineering b.sc. graduate with high scores or equivalent experience
8+ years of experience in verification or hw simulation
strong debugging, problem solving and analytical skills
innovation mindset - a proactive approach to adopting new methodologies and coding tools to solve complex challenges
a team player with good communication and interpersonal skills
ways to stand out from the crowd:
prior design or verification experience of high-speed interconnects, smart nic and/or SOC
knowledge in network flows and protocols

Requirements:
What We Need to See:

A degree in Electrical Engineering, Computer Science, Computer Engineering, or equivalent practical experience.

8+ years of significant professional experience in embedded firmware development, with a deep understanding of PCIe.

A strong foundation in computer architecture, operating systems, and object-oriented programming.

Proficiency in scripting languages like Python to automate tasks and workflows.

An innovative approach with a genuine desire to apply AI and machine learning to accelerate firmware development.

Ways to Stand Out from the Crowd:

Track record of applying AI-powered tools like Cursor to accelerate the development lifecycle.

Previous experience in a customer-facing or application engineering role.

Direct, hands-on experience with PCIe switch architecture and its firmware in high-performance applications.

Deep knowledge of hardware verification concepts and tools (e.g., C++, Python, Jenkins).

Extensive knowledge of networking protocols and the Linux operating system.

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:

BSc in Electrical/Computer Engineering or MSc in Mathematics, or equivalent experience.

1-3 years of relevant experience.

Excellent analytical, logical reasoning and problem-solving skills.

Strong debugging and analytical skills.

Strong communication and interpersonal skills are required.

Ways to stand out from the crowd:

Formal verification work experience.

Knowledge of digital logic.

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:

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.