דרושים » הנדסה » Senior Data Engineer, Telemetry and Infrastructure

We are looking for an experienced Software Engineer to take part in the design and development of next-generation performance engineering frameworks. In this role, you will focus on Python-based benchmarking and analysis systems, while also contributing to high-performance components in C/C++. Youll work on challenges at the intersection of networking, distributed computing, and AI, building tools that run at scale on clusters, clouds, and data centers.

What you'll be doing:

Design and implement performance benchmarking and analysis frameworks for next-generation AI and HPC workloads.

Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools.

Take full technical ownership of our core telemetry engine, including utilizing Jupyter Notebooks and other data analysis frameworks to help performance engineers analyze telemetry results.

Contribute to our DevOps environment, owning the CI/CD pipelines and release processes for your projects.

Drive technical innovation in the performance engineering ecosystem, including taking part in building our next-gen agentic AI assistant.

We are looking for an experienced Software Engineer to take part in the design and development of next-generation performance engineering frameworks. In this role, you will focus on Python-based benchmarking and analysis systems, while also contributing to high-performance components in C/C++. Youll work on challenges at the intersection of networking, distributed computing, and AI, building tools that run at scale on clusters, clouds, and data centers.

What you'll be doing:

Design and implement performance benchmarking and analysis frameworks for next-generation AI and HPC workloads.

Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools.

Take full technical ownership of our core telemetry engine, including utilizing Jupyter Notebooks and other data analysis frameworks to help performance engineers analyze telemetry results.

Contribute to our DevOps environment, owning the CI/CD pipelines and release processes for your projects.

Drive technical innovation in the performance engineering ecosystem, including taking part in building our next-gen agentic AI assistant.

We are looking for a Senior Data Engineer to join the manufacturing data Engineering team and help us craft data collection solutions, quality control methodologies and monitors, support data enlargement scale. As a Data Engineer, you will play a significant role in bridging the gap between machine learning and software engineering. Your primary responsibility will be to develop, deploy, and maintain the infrastructure, data pipelines and workflows required for the end-to-end solution collecting the data till loading to data warehouse. If you are genuinely passionate about data engineering platforms, methodologies and possesses excellent problem-solving, we'd love to hear from you!

What youll be doing:

Collaborate with multi-functional teams, including full stack engineers, data scientists, data engineers, and DevOps, to craft, implement robust reliable data pipelines, infrastructure and workflows.
develop and support data models, schemas, and database structures that provide blazing-fast analytics performance. Constantly optimize data workflows to ensure flawless real-time and batch data processing.
Implement data quality checks and monitoring mechanisms to ensure data integrity and accuracy at every stage. detect and resolve bottlenecks swiftly to maintain a highly available and reliable data ecosystem.
Control, monitor and optimize worldwide production servers.
Build and maintain scalable data pipelines, ensuring efficient data storage, retrieval, and transformation.
Stay ahead of the curve in data engineering technologies and trends. Introduce new tools, techniques, and standard methodologies to improve our data infrastructure, empowering data scientists and analysts alike.
Feed a culture of learning and knowledge-sharing within the team. Guide and mentor junior data engineers, applying your expertise to uplift the entire department.

We are looking for a Senior Data Engineer to join the manufacturing data Engineering team and help us craft data collection solutions, quality control methodologies and monitors, support data enlargement scale. As a Data Engineer, you will play a significant role in bridging the gap between machine learning and software engineering. Your primary responsibility will be to develop, deploy, and maintain the infrastructure, data pipelines and workflows required for the end-to-end solution collecting the data till loading to data warehouse. If you are genuinely passionate about data engineering platforms, methodologies and possesses excellent problem-solving, we'd love to hear from you!

What youll be doing:
Collaborate with multi-functional teams, including full stack engineers, data scientists, data engineers, and DevOps, to craft, implement robust reliable data pipelines, infrastructure and workflows.
develop and support data models, schemas, and database structures that provide blazing-fast analytics performance. Constantly optimize data workflows to ensure flawless real-time and batch data processing.
Implement data quality checks and monitoring mechanisms to ensure data integrity and accuracy at every stage. detect and resolve bottlenecks swiftly to maintain a highly available and reliable data ecosystem.
Control, monitor and optimize worldwide production servers.
Build and maintain scalable data pipelines, ensuring efficient data storage, retrieval, and transformation.
Stay ahead of the curve in data engineering technologies and trends. Introduce new tools, techniques, and standard methodologies to improve our data infrastructure, empowering data scientists and analysts alike.
Feed a culture of learning and knowledge-sharing within the team. Guide and mentor junior data engineers, applying your expertise to uplift the entire department.

We are looking for an excellent highly motivated Senior SW Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, take ownership and lead the SW testing of key components of the DPU. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.

What youll be doing:

Build automated verification environment for high-end hardware and software which is at the forefront of innovation.

Develop and maintain test automation frameworks and scripts using Python.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Make better product quality by improving tests coverage.

Take an active part in development, integration and verification with R&D.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

We are seeking a Technical Marketing Engineer to join our Ethernet Networking team to keep improving our performance leadership in AI. In this pivotal role, you will be the hands-on expert for our Spectrum-X Ethernet platform, showcasing its superiority for emerging AI use cases. You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads. Your primary mission is to translate these performance results into compelling technical content, including white papers, blogs, and presentations, that clearly articulates why our Spectrum-X Ethernet solutions are the definitive choice for modern AI infrastructure.

What you'll be doing:

Design and execute performance benchmarks using industry-standard tools (e.g., MLPerf, UCX, our Collective Communications Library - NCCL and CloudAI) and customer-representative AI workloads on our state-of-the-art GPU clusters.

Translate your benchmark data and technical insights into compelling, high-impact marketing assets and performance-driven sales enablement materials.

Collaborate closely with Product Management, ASIC and Software architecture and Sales teams, provide feedback on product features, and ensure our performance results are technically accurate and impactful.

Our System Product Engineering team is looking for a SW engineer to design and develop the backend and tooling infrastructure supporting the test and validation of next-generation networking systems. This position plays a key role in building the software systems and services that enable effective, scalable, and automated validation, helping our test teams deliver high-quality products quickly and efficiently.

What youll be doing:

Design and implement infrastructure and backend services to support test execution, test management, and reporting across multiple platforms and teams.

Develop automation tools, pipelines, and interfaces to streamline validation workflows and data handling.

Collaborate with validation engineers to understand testing needs and translate them into reliable, scalable software solutions.

Contribute to improving system reliability, maintainability, and observability of infrastructure components.

Support CI/CD integration for validation processes and services.

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 youll 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.

This Senior Data Science Engineer role will focus on designing and implementing Networking solutions based on AI for both the enhanced monitoring of NVIDIAs data centers and the optimization of NVIDIA networking products. Developing such platforms provides unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns.
As a Senior Data Science Engineer in the Networking AI group, you will work closely with many different teams, solving problems with their engineering teams, and playing a key role in building successful NVIDIA solutions
What You'll Be Doing:
We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them.
Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy.
Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems.
Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership.
Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams.
Lead the technical implementation and integration of data science models into production environments.

We are now looking for a Senior Security Validation Architect for Networking AI Platforms! NVIDIA is seeking an outstanding security architect with deep expertise in security validation and advanced testing methodologies to help design, build, and guide secure validation across our next-generation products. The candidate is expected to deliver highly innovative validation and verification solutions that lead to significant industry differentiation and help achieve the long-range goals of the Security organization. Leaders in this role will strengthen NVIDIAs Data Center and networking products against emerging threats while driving adoption of future-proof security validation technologies.

What youll be doing:

Defining and driving implementation and adoption of security validation strategies across NVIDIAs networking platforms security solutionsspanning Silicon, Firmware, and System levels.

Designing frameworks and automation flows to test and verify security functionality during product QA, large-scale manufacturing, and in-field operation.

Collaborating with architecture, design, and product engineering teams to ensure robust verification coverage for hardware roots of trust, secure boot, key provisioning, and cryptographic services.

Driving development of advanced validation and debugging tools capable of detecting complex security anomalies, misconfigurations, and behavioral deviations across systems.

Building and maintaining an end-to-end visibility architecture for security validation metrics, enabling continuous trust across the product lifecycle.