High Speed Mixed Signal Simulation Leader jobs in Israel

What you'll be doing:

• Characterization of electro-optical components and subsystems in their development stage, including development of novel electro-optical characterization setups.

• Be a part of a highly skilled and professional team, and work closely with experts in the field of Silicon Photonics.

• Work with top of the art high-speed testing equipment (Scopes, PPG, AWG, BERT).

• Define testing requirements for new sub-systems based on electrical and optical specifications.

• Get involved in projects of R&D teams developing future capabilities.

What we need to see:

• MSc \ PhD degree (or equivalent experience) in Electrical Engineering/ Physics related degree in engineering or electro-optics fields is required.

• Minimum 5 years hands-on experience in electro-optical lab work.

• Strong capability for learning and entering new fields and passion for experimental observation of physical phenomena.

• Strong collaborative and interpersonal skills, with an ability to guide and influence.

• Ability and willingness to take ownership and lead activities.

Ways to stand out from the crowd:

• Proven experience with high-speed communication systems and high-speed lab optical equipment.

• Deep understanding of technology and passion for what you do.

• Programming skills in MATLAB/ Python.

What You’ll Be Doing:

• Lead, mentor, and grow a team of software verification and infrastructure engineers focused on simulation quality, automation, and scalability.

• Oversee development of multi-node verification systems to validate distributed simulation performance and stability.

• Drive the evolution of CI/CD pipelines and automation workflows to ensure fast, reliable delivery of simulation releases.

• Collaborate cross-functionally with hardware design, DevOps, firmware, and software teams to align infrastructure improvements and verification methodologies.

• Balance hands-on technical contribution with leadership — guiding design reviews, architecture discussions, and best practices for verification excellence.

• Foster a culture of ownership, continuous improvement, and innovation across the verification organization.
  

What We Need to See:

• B.Sc. or higher in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.

• 8+ overall years of software development or verification experience, with at least 3 years in a technical leadership or management role.

• Strong background in Python and C/C++, with experience building or maintaining large-scale verification or test automation frameworks.

• Solid understanding of Linux systems, CI/CD automation, and DevOps practices (Jenkins, Git, Gerrit, Docker).

• Strong communication and organizational skills — able to align multiple teams and deliver high-impact results.
  

Ways to Stand Out from the Crowd:

• Hands-on experience managing simulation or emulation verification teams in hardware/software co-development environments.

• Proven experience leading teams that build scalable, distributed, orhardware-simulation-relatedsystems.

• Expertise in multi-node or distributed testing frameworks, performance validation, or concurrency debugging.

• Track record of driving improvements in CI/CD pipelines, automation coverage, and release stability.

• Deep familiarity with GPU, networking, or system architecture concepts.

As a Data Science Team Leader at CyberArk, you will lead a high-performing team developing AI/ML solutions that secure the digital world’s most sensitive assets. You’ll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, you’ll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. You’ll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across CyberArk’s identity security portfolio.

• Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
• Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
• Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
• Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
• Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
• Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
• Champion best practices in MLOps, data governance, explainability, and monitoring.
• Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

• 6+ years of industry experience in AI/ML or Data Science, with at least 1-year leading teams and managing direct reports.
• Master’s degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
• Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
• Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
• Strong technical communication skills and the ability to collaborate across cross-functional teams.
• Strategic mindset with the ability to connect AI research to business value and product opportunities.

• Familiarity with cybersecurity, identity security, or risk mitigation use cases.
• Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
• Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
• Publications, patents, or open-source contributions in AI/ML.

What you'll be doing:

• Detailed design of the electrical schematics in the product, board design and components selection.

• Leading the product multi-discipline design in all fields including work with thermo-mechanical, signal/power integrity, software, and optics teams and more.

• Hands on lab work to bring to design to life, evaluate and improve the product performances.

• Work with multiple operational groups inside and outside the company such as qualification, suppliers, and manufacturers to scale the product from lab to mass production high runner.

• Learning to use new technologies to enable improvement for generation to generation.

What we need to see:

• B.Sc./M.Sc. in Electrical Engineering from a leading university (or equivalent experience)

• 8+ years of relevant experience

• Strong problem-solving skills

• Excellent interpersonal and written communication skills.

• Desire to work multi-discipline projects

• Engineering approach and understanding of physical trade-offs

• Ability to work in a high-paced project development environment

Ways to stand out from the crowd:

• Knowledge in electro-optic communication or high-speed signals or analog circuits

• Hands on experience with electrical lab work.

• Previous experience in hardware/system fields

What You’ll Be Doing:

• Lead, mentor, and grow a team of software engineers developing NVIDIA’s Ethernet simulation.

• Define the technical roadmap for Ethernet simulation – architecture, development and verification strategy.

• Oversee the implementation and validation of complex Ethernet behaviors, protocols, and performance models in simulation.

• Collaborate closely with hardware, firmware, and software teams to ensure simulation accuracy, scalability, and feature alignment with real silicon.

• Balance hands-on technical guidance with strategic leadership – performing design reviews, defining best practices, and ensuring delivery excellence.

• Foster a culture of collaboration, technical curiosity, and continuous improvement within the simulation organization.
  

What We Need to See:

• B.Sc. or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

• 8+ overall years of software development, including 3+ years leading or managing engineering teams.

• Strong programming background in Python and C/C++.

• Solid understanding of networking fundamentals, Ethernet protocols, and system-level communication architectures.

• Familiarity with Linux systems, CI/CD pipelines, and automation frameworks (e.g., Jenkins, Git, Docker, Pytest).

• Excellent collaboration and communication skills with the ability to lead cross-functional initiatives.
  

Ways to Stand Out from the Crowd:

• Hands-on experience in Ethernet, RDMA, or high-performance networking stack simulation.

• Proven background in large-scale distributed or multi-node simulation environments.

• Strong understanding of hardware/software co-design and verification methodologies.

• Demonstrated success in improving simulation performance, coverage, or authenticity.

• Experience with system-level debugging (synchronization, concurrency, packet tracing).