Head Infrastructure jobs in Israel

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.

In this role, you’ll design, build, and maintain scalable, high-performance data pipelines that handle massive volumes of real-time telemetry data from hardware, communication modules, firmware, and large-scale AI and HPC clusters.

What you’ll be doing:

• Define and execute the group’s data technical roadmap, aligning with R&D, hardware, and DevOps teams

• Design and maintain flexible ETL/ELT frameworks for ingesting, transforming, and classifying telemetry and performance data

• Build and optimize streaming pipelines using Apache Spark, Kafka, and Databricks, ensuring high throughput, reliability, and adaptability to evolving data schemas

• Implement and maintain observability and data quality standards, including schema validation, lineage tracking, and metadata management

• Develop monitoring and alerting for pipeline health using Prometheus, Grafana, or Datadog

• Support self-service analytics for engineers and researchers via Databricks notebooks, APIs, and curated datasets

• Promote best practices in data modeling, code quality, security, and operational excellence across the organization

• Deliver reliable insights for cluster performance analysis, telemetry visibility, and end-to-end test coverage

What we need to see:

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

• 5+ years of hands-on experience in data engineering or backend development

• Strong practical experience with Apache Spark (PySpark or Scala) and Databricks

• Expertise with Apache Kafka, including stream ingestion, schema registry, and event processing

• Proficiency in Python and SQL for data transformation, automation, and pipeline logic

• Familiarity with ETL orchestration tools (Airflow, Prefect, or Dagster)

• Experience with schema evolution, data versioning, and validation frameworks (Delta Lake, Iceberg, or Great Expectations)

• Solid understanding of cloud environments (AWS preferred; GCP or Azure also relevant)

• Knowledge of streaming and telemetry data architectures in large-scale, distributed systems

Ways to stand out from the crowd:

• Exposure to hardware, firmware, or embedded telemetry environments.

• Experience with real-time analytics frameworks (Spark Structured Streaming, Flink, Kafka Streams)

• Experience with data cataloging or governance tools (DataHub, Collibra, or Alation)

• Familiarity with CI/CD for data pipelines andinfrastructure-as-code(Terraform, GitHub Actions)

• Experience designing performance metrics data systems (latency, throughput, resource utilization) that support high-volume, high-frequency telemetry at scale

What you'll be doing:

• Develop and maintain the simulation’s verification system and supporting infrastructure - design frameworks and tools that enable efficient test creation, execution, and analysis for complex hardware simulations.

• Implement and automate multi-node verification tests to validate system behavior, scalability, and performance across distributed environments.

• Own CI/CD pipelines and testing automation ensuring reliability, repeatability, and fast iteration cycles for simulation releases.

• Collaborate closely with design and DevOps teams to integrate new hardware models, test scenarios, and infrastructure improvements.

• Drive innovation in simulation verification - continuously improve coverage, debug efficiency, and system authenticity.

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

• 4+ years of hands-on experience in Python and C/C++, with strong debugging and object-oriented design skills.

• Experience in verification infrastructure or test automation frameworks (e.g., Pytest, custom frameworks).

• Solid understanding of Linux systems - including scripting, debugging (gdb), and containerized environments (e.g., Docker).

• Familiarity with CI/CD pipelines and DevOps workflows (Jenkins, Git, Gerrit).

• Knowledge of Inter-Process Communication (IPC) mechanisms (sockets, message queues, shared memory).

• Creative, proactive, and detail-oriented team player with a passion for reliable systems.

Ways to Stand Out from the Crowd

• Experience in simulation or emulation systems, especially those modeling hardware or distributed environments.

• Familiarity with networking or GPU architectures, or other hardware/software co-simulation domains.

• Proven experience developing multi-node or multi-platform verification environments.

• Strong background in automation, CI integration, and test scalability.

• Excellent communication skills and ability to collaborate across design, firmware, and infrastructure teams.

Join our dynamic engineering team as a Senior System Level Software Infrastructure Engineer. You will design, develop, and maintain robust infrastructure solutions that power our next-generation hardware and software platforms. This role bridges system-level engineering and advanced software development, offering a unique opportunity to work on multidisciplinary projects with direct impact on product quality and innovation.

What you’ll be doing:

• Architect, implement, and optimize software infrastructure for system-level testing and validation.

• Develop automation frameworks and tools for hardware-software integration, diagnostics, and data collection.

• Collaborate with internal and external teams (hardware, firmware, and QA teams) to deliver scalable, reliable solutions.

• Lead troubleshooting and root-cause analysis for complex system issues, leveraging software tools and scripting.

• Drive continuous improvement in test coverage, efficiency, and reporting.

• Mentor junior engineers and contribute to technical leadership within the team.

What we need to see:

• Bachelor's degree or equivalent experience in computer/software science

• Strong programming skills in Python (5+ years proven experience).

• Experience with Linux environments and scripting (Bash, Python).

• Proven track record in developing automation tools, test frameworks using OOP.

• Familiarity with hardware-software integration, system validation, or embedded systems.

• Experience with version control systems (Git, GitLab, GitHub).

• Solid understanding of networking protocols, system architecture, or cloud infrastructure.

• Experience in cross-functional collaboration.

• Ability to work independently and lead tasks end-to-end with the right prioritization

Ways to stand out from the crowd:

• Experience with DevOps/CI/CD pipelines, practices, and tools (Docker, Kubernetes, Jenkins).

• Knowledge of hardware interfaces (PCIe, I2C, SPI) and debugging tools.

• Familiarity with modern software testing methodologies (unit, integration, system).

• Proven experience with Silicon (pre/post) validation.

• Prior experience as a team lead (direct/matrix management).