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We are searching for a forward-thinking Software Engineer to join our VLSI Design Automation Infrastructure team. We are looking for a candidate who looks beyond traditional scripting and is eager to leverage Artificial Intelligence and Machine Learning to revolutionize how we build chips.

In this role, you will manage high-performance compute and storage environments while pioneering the integration of AI-driven tools into our workflows. You wont just maintain the infrastructure; you will modernize it-using LLMs to optimize code, ML to predict compute bottlenecks, and intelligent automation to streamline the backend networking team's success.

What youll be doing:

AI-Driven Optimization: Leverage AI/ML methodologies to analyze compute and storage patterns, predicting resource needs and optimizing LSF grid performance.

Next-Gen Tooling: Design and develop intelligent scripts and automation tools, integrating Generative AI (LLMs) to accelerate debugging and workflow generation.

Infrastructure Management: oversee complex On-Prem environments (LSF) and storage solutions, ensuring maximum uptime for critical VLSI projects.

Data Visualization: Build dynamic, data-driven dashboards that not only report status but utilize analytics to provide actionable insights on infrastructure health.

We are looking for an excellent software first-level manager to join the NSV (Network Solutions Validation) group. In this role, you will lead major development efforts of high-performing software automation systems for NVIDIA's Data Center environments-driving data growth for some of the worlds largest companies. Youll work in a dynamic, fast-paced environment alongside dedicated engineers worldwide. Are you ready for the challenge?

What You'll Be Doing:

Lead and mentor a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement.

Champion Agile methodologies and Scrum guidelines, facilitating sprint planning, daily stand-ups, retrospectives and sprint reviews.

Collaborate closely with product managers, architects, and collaborators to define priorities, refine requirements, and align on strategic technical goals.

Design and develop an automation platform for benchmarking, monitoring, and analyzing HPC data centers.

Perform Data analysis and data engineering on benchmarking results.

Integrate with external large-scale data storage solutions.

Create and maintain interactive dashboards in Power BI.

Develop AI infrastructure and agent-based solutions to improve usability, observability, and debuggability.

We are seeking a Senior Customer Program Manager - Generative AI to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, Tier-1 partners, and OEMs. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators.

What you will be doing:

Define and manage program schedules, deliverables, and turning points aligned with customer roadmaps and requirements.

Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.

Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.

Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.

Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.

Provide ongoing post-deployment sustaining support, serving as case manager for high priority concerns within the generative AI domain.

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.

Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.

We are looking for a passionate Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation Switch simulation, works closely with other SW R&D teams and SW Architects.

What you will be doing:

Design and develop advanced features simulating our world class Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

Our networking VLSI team is looking for a CAD engineering manager. The team is providing methodologies and vendor-based EDA flows for the physical design execution teams. Your team will be responsible for defining and developing methodologies and flows that enable high quality and super-efficient execution of over a hundred physical design engineers. You will be working closely with the physical design technology team, with design engineering professionals and project leads, and with peer software/CAD teams, hence you will need to possess strong interpersonal skills, be a quick learner, and manage multiple missions in a results-oriented manner. You, along with the team, will lead processes from requirements understanding, through software definition and implementation of tools/flows, ending with release, integration and support.

What you'll be doing:

Lead a growing team of ~5 professional CAD engineers.

Own the definition, development, and maintenance of software solutions for physical design engineering.

Collaborate and closely interact with design technology experts and execution engineers, along with software/CAD peers.

Influence and make right choices to produce high quality and tangible impact.

Be agile and make continuous and incremental progress by decomposing the problem in to smaller and achievable goals.

Define and build strategic vision for the networking VLSI technology and EDA team.

We are seeking a Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability. You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises

What you'll be doing:
Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process.

We are spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our Network Modeling and Performance Insights group is seeking a skilled and driven Software Developer for the design and development of our infrastructure for a complex networking simulation as a service. In this role, you will be responsible for developing and optimizing our network simulation software, and to enhance its performance and quality. You will work on integrating this infrastructure with cloud computation services for various use cases and ensure the simulation is available as a service for internal and external customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.

What you'll be doing:

Enhance simulation runtime and memory consumption through innovative optimization techniques.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Expends the simulation versatility to accommodate new various and complex user use cases and bleeding-edge requirements.

Design and expose the simulation as a service to facilitate easier access for different stakeholders.

Integrate a new simulation management system, making simulated experiments data accessible to all users.

Design and develop a CI/CD infrastructure for our complex networking simulation tool, ensuring efficient deployment and smooth integration processes.

We are looking for an Automation Engineer to join our Information Systems team and help build scalable, automated, and reliable integrations across our enterprise application landscape. You will work primarily with our iPaaS platform (Workato) to support cross-functional business processes and deliver high-impact automations.
Design, build, and maintain integrations and automations using modern iPaaS and AI-driven automation platforms.
Configure, deploy, and maintain integrations in Workato across enterprise systems (Legal, Product, Finance, Procurement, GTM, etc.).
Work closely with Information Systems engineers to design scalable cross-company data flows and integrations across our SaaS ecosystem
Build robust monitoring, logging, testing, and error-handling mechanisms to ensure reliability, observability, and high availability.
Integrate with external systems using REST APIs, webhooks, and OAuth/SAML/JWT authentication frameworks.
Produce and maintain high-quality documentation, including architecture diagrams, data flows, and technical specifications.
Collaborate with technical and non-technical stakeholders to understand business needs and translate them into scalable integration solutions.
Troubleshoot integration issues, perform root-cause analysis, and support continuous improvements in our integration architecture.

Job Description
As a Cyber security system Engineer, you will lead the security engineering aspects of multidisciplinary projects. You will conduct system design surveys, participate in various design and testing stages, and lead cyber and security research in software, firmware, and hardware. Your responsibilities will include: Conducting threat risk analysis, mapping protection targets, designing security architecture and defining appropriate security controls for systems at different maturity and life-cycle phases. Analysing advanced systems and designing cyber and technological security solutions. Planning and executing Cyber security strategies in collaboration with clients and regulatory bodies. Leading and guiding development teams from specification through design to integration. Designing and conducting system proof of concept experiments. Initiating and advancing projects and product development in cyber and security technology. Evaluating existing and future technological solutions. Monitoring the implementation of Cyber security measures in projects and ensuring compliance with security plans.

What you'll be doing:

Supervise and coordinate a senior software engineering team responsible for constructing post-silicon power and performance infrastructure and automation tools.

Define the architecture and roadmap for scalable characterization and stress frameworks used in production and validation environments.

Deliver tools that enable power, transient, and functional stress at both silicon and system levels.

Drive automation, CI, and infrastructure guidelines to support regression, data collection, analytics, and reproducibility.

Partner with architecture, hardware, firmware, performance, and production teams to translate silicon requirements into robust software solutions.

Ensure high software quality, maintainability, and documentation aligned with our engineering standards.

Support silicon bring-up, characterization and high-volume manufacturing readiness.

In this role, you'll guide a team of experienced engineers and team leads, coordinating execution across multiple product lines. You'll have a direct impact on our networking products-from VR72 to next-generation AI fabric solutions-and play a key role in scaling our capabilities while pioneering AI-enhanced workflows.

What you'll be doing:

Guide day-to-day execution across multiple concurrent product lines, with ownership of firmware debug and validation delivery.

Mentor and develop team leads (currently 3 direct reports), helping them grow their technical and leadership capabilities while thoughtfully allocating resources across priorities.

Collaborate with teams across Chip Design, Software, Architecture, QA, and Applications to solve technical challenges together.

Encourage AI adoption and explore AI-enhanced workflows that improve team effectiveness.

Help translate customer needs into meaningful product improvements.

We are looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the software infrastructure and tools that shape the future of Chip Design and Verification. This role works at the intersection of infrastructure engineering, tooling, and database ownership. Youll be responsible for the backbone systems that enable the development of our industry-leading networking chips - the highway for the AI revolution.

We're looking for a senior hands-on engineer who combines deep expertise in Python automation and SQL data flows with a passion for large-scale compute environments. If youre excited about optimizing critical systems, owning the health of compute farms, and driving reliability across cross-functional teams, youll feel right at home here.

What youll be doing:

Partner with Chip Design teams to solve engineering bottlenecks: Collaborate closely with Design, Verification, and Methodology teams to identify workflow pain points and deliver infrastructure solutions that directly improve chip design productivity and quality.

Build automation infrastructure: Design, build, and maintain robust Python-based automation infrastructure that orchestrates chip design flows, monitoring, and infrastructure tooling.

Drive data integrity and performance: Own the MySQL/SQL schemas, migrations, and data integrity for our infrastructure tools. You will optimize queries and indexes to ensure our databases scale with our massive growth.

Own the platform health: Take ownership of the day-to-day health, capacity, and reliability of our compute farm and storage systems. This includes leading incident response, triage, and implementing long-term fixes to ensure high availability.

Our Networking BU is looking for Senior Software Program Manager that will be responsible for software programs and projects. The PM should drive planning and execution of FW/SW projects while aligning with corporate priorities and constraints.

Our Mellanox Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer best-in-class solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high-performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration.

What you'll be doing:
You will manage the networking software programs for our next generation AI Data centers.
Responsible to coordinate between all project stakeholders such as marketing, engineering teams in IL and around the world, operations, etc. from initial requirements definition through Architectural stage, execution, and delivery.
Develop and execute feature planning and prioritization of perception capabilities to meet the software programs' needs.
Identify risks, gaps, and bottlenecks in time, and find resolution with technical leaders and project management.
Work with product managers, architects, and engineers to ensure consistency with company strategy, commitments, and goals.

As a Senior Software Architect in the GPU Networking Architecture team, you will define Software Defined Networking architectural solutions. You'll also be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed AI and deep learning systems, Networking Operating Systems, Virtualization, Storage, and more.

What youll be doing:
Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI networks which involves innovative software and hardware.
Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane.
Work closely with various groups within us to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.

As a Senior Software Engineer in the GPU Networking Architecture team, youll lead advanced development and POC efforts for AI infrastructure solutions. You'll be collaborating with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more. Come and join us for the cutting edge in GPU Networking!

What youll be doing:
Drive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware.
Demonstrate team architectural concepts with larger NVIDIA AI software stacks.
Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.