דרושים Dgx Cloud Infrastructure Engineering Intern - Fall ב-אנבידיה

What you’ll be doing:

• Supervise a team of 5+ experienced and high motivated DevOps engineers.

• Architect, implement and support scalable CI processes for multiple NVIDIA Networking products.

• Closely collaborate with DevOps, IT and security teams across the globe to share, promote and improve CI practices.

• Build infrastructure for effective, high quality, reliable development and release processes for our products.

What we need to see:

• Bachelor's/Master's degree in Computer Science, Engineering, or equivalent experience

• 5+ years leading DevOps organizations for mid range or enterprise company

• 10+ overall years hands-on experience in DevOps with focus on CI/CD and infrastructure development

• Familiarity Linux OS distributions

• Strong knowledge of build systems: Jenkins or similar

• Proven knowledge of Git SCM administration

• Proficiency in Python, Java, Groovy or related programming languages

• Proven success building and scaling teams in fast-paced, high-growth environments

• Agility, excellent communication skills, customer-facing approach

Ways to stand out from the crowd:

• Solid understanding of LINUX system administration

• Demonstrated history of building robust and scalable CI/CD infrastructures for complex enterprise products.

• Familiarity with containerization and orchestration tools such as Docker and Kubernetes

What you’ll be doing:

• Supervise a team of 4+ experienced and high motivated DevOps engineers.

• Architect, implement and support scalable CI processes for multiple NVIDIA Networking products.

• Closely collaborate with DevOps, IT and security teams across the globe to share, promote and improve CI practices.

• Build infrastructure for effective, high quality, reliable development and release processes for our products.

What we need to see:

• Bachelor's/Master's degree in Computer Science, Engineering, or equivalent experience

• 4+ years leading DevOps organizations for mid range or enterprise company

• 8+ overall years hands-on experience in DevOps with focus on CI/CD and infrastructure development

• Familiarity Linux OS distributions

• Strong knowledge of build systems: Jenkins or similar

• Proven knowledge of Git SCM administration

• Proficiency in Python, Java, Groovy or related programming languages

• Proven success building and scaling teams in fast-paced, high-growth environments

• Agility, excellent communication skills, customer-facing approach

Ways to stand out from the crowd:

• Solid understanding of LINUX system administration

• Demonstrated history of building robust and scalable CI/CD infrastructures for complex enterprise products.

• Familiarity with containerization and orchestration tools such as Docker and Kubernetes

What you’ll be doing:

• Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using NVIDIA’s advanced technologies (GPUs, DPUs, ConnectX).

• Contribute to NVIDIA’s AI supercomputing platforms

• Collaborate with cross-functional teams to deliver new features and improve existing products.

• Support, maintain, and document robust software systems.

What we need to see:

• BSc in Computer Science or equivalent program.

• 3+ years of hands-on experience in software development, preferably with Golang/C/C++/Rust.

• Proven ability to develop, debug, and maintain complex distributed systems.

• Excellent communication skills and the ability to collaborate across teams and geographies.

• Self-starter with adaptability and eagerness to learn new technologies.

Ways to stand out from the crowd:

• Experience building K8s based solutions/systems.

• Background in HPC or AI infrastructure technologies.

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.

What you'll be doing:

• Manage all Networking test equipment, hardware, and suppliers for NPI & mass production.

• Directly manage a team of engineers

• New equipment installation & acceptances, also improve existing equipment OEE

• Working closely with capacity planning team to make sure supply is always guaranteed

• Collaboration with NVIDIA internal development, engineering, operational teams, and equipment vendors

• Budget control for all equipment, spare parts, HW and service

• Defining maintenance, routines, and monitoring processes and implementation

• Establish, train, and maintain a robust engineering infrastructure support process to enable high challenges solutions in IC test environment and NPI

What we want to see:

• 5+ years of managerial experience of 10+ engineers

• 12+ overall years of practical experience as an Electrical Engineer or Mechanical Engineer

• Technical degree

• Technical knowledge and experience with ATE (Automated Test Equipment) – testers, handlers, and probers – operation, trouble shooting

• Experience in defining and establishing test lines and equipment

• Creativity, motivation, excellent teammate, fast learning skills and independence

• Agility, the ability of changing priorities and tasks pending business and production needs

• Demonstrated Leadership skills and training of Eng. team

• Continuous process/KPI tracking and improvement in order to meet company goals

• Excellent English- oral and written communication skills

Ways to stand out from the crowd:

• Experienced with defining processes (such as new equipment acceptance) and committing to prompt execution of said processes

• Define machinery requirement, leading equipment FAT, SAT and acceptances

• Results oriented, analytical, self-motivated, and high level of attention to details

• Ability to demonstrate experience in creative problem-solving skills, out of the box thinking

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.