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we are seeking a Global Sales Director to lead the companys worldwide sales activities, drive expansion into new markets, and manage strategic accounts within the railway sector. Key Responsibilities
* Lead global sales activities across international markets
* Proactively identify and develop new business opportunities, independently generating a strong pipeline and converting leads into closed deals.
* Manage and execute complex sales processes, including contracts and tenders
* Identify, recruit, and manage overseas agents and business partners
* Represent the company at international conferences, exhibitions, and business travel engagements
* Work closely with Business Development Representatives (BDRs)
* Collaborate cross-functionally with project management, product, engineering, and marketing teams

We are transforming the world of networking for massively scaled AI factories through Spectrum-X: Our Ethernet Networking solution. We need automation engineers with strong coding skills to join our Spectrum-X team and create the products that will drive the next phase of AI growth. Aa a Software Engineer you will ensure that the solution's software features are developed, tested and delivered to meet the high standards of our customers. Do you want to help create the most exciting solutions in the world of networking today? If so, read on.

What you'll be doing:

Participating in an international team of software engineers working on products for testing our ethernet networking products.

Designing and implementing robust, maintainable, and efficient automation test suites for end-to-end testing of AI ethernet networks.

Engaging directly with our customers to ensure we are aligned on their networking requirements and solve their problems.

Debugging and diagnosing complex networking problems.

We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. As a Senior Data Scientist youll have the opportunity to take an active part in the research and development of our world-class networking and data center security products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security.

What youll be doing:

Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows.

Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video.

Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes.

Applying alignment techniques and parameter efficient fine-tuning to improve model performance.

Measuring and benchmarking model and application performance to drive improvements.

Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training.

Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; youll be a technical anchor and a supportive peer for teams across the organization.



What youll be doing:

Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production.

Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness.

Designing and implementing pipelines and frameworks for AI training, inference, and experimentation.

Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans.

Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks.

Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production.

Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure.

Documenting guidelines and leading knowledge-sharing sessions to elevate the teams collective development expertise.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking and virtualization. You will play a key role in validating and testing complex software products that support the InfiniBand protocol, delivering advanced networking services for cloud, HCP machine learning, and AI workloads.


What Youll Be Doing:

Build automated verification tests in a simulated environment for high-end hardware and software.

Collaborate with multiple teams to understand new network technologies, ensuring accurate modeling of complex network behaviors.

Enhance product quality by improving test coverage and developing comprehensive verification strategies.

We are looking for an excellent Firmware Design Engineer for NVIDIA FW PHY Group. The person will closely work with NVIDIA FW development, architecture, chip design teams and gain deep understanding of NVIDIA's Networking products and technologies. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team in the industry!

What youll be doing:

Working on the most Ground breaking technology for building AI infrastructure.

Design and develop PHY-layer firmware for our latest networking devices, improving performance and reliability in our next-generation products.

Enabling new SerDes and physical linkup flows.

Work closely with the architecture, HW, and SW design teams.

Define implement and maintain FW algorithm to control the Silicon.

Develop and test FW on emulation & simulation environments during the Pre-silicon phase.

Debug and screen HW/FW/SW issues.

Take an active part in silicon bring-up and SW development phases.

Lead data-driven discussions about the product functionality and areas for improvement.

Our work in Networking and AI is transforming the world's largest industries and profoundly impacting society. Our Networking product security team is looking for an outstanding technical AI red teamer with hands-on safety and security experience to help us improve the safety posture of AI models, systems and infrastructure. In this role you will reduce risk, threats, and vulnerabilities in our networking AI products.

What you'll be doing:
Drive hands-on safety and security research on a range of AI and networking products.
Develop tools and processes to expose novel weaknesses in AI models and systems to preempt threats.
Participate in defining and ensuring AI development processes meet safety and security standards.
Partner with cross-functional teams to understand needs and implement solutions.
Be a technical focal point across multiple teams and provide hands-on AI safety, security and engineering expertise.

We are looking for a highly skilled Advanced Development Engineer to join the Software Architecture Team. In this hands-on role, you will shape the future of large‑scale data centers through advanced simulation, high‑scale telemetry, and next‑generation infrastructure solutions. You will work at the frontier of technology - exploring, prototyping, and proving new concepts - and turn them into scalable, production‑ready foundations. Your work will span large‑scale telemetry pipelines, data integrity at extreme scale, and advanced simulation frameworks used to model, validate, and optimize complex data‑center environments.

As part of the Architecture team, you will directly influence cross‑company platforms and long‑term technology direction, while actively contributing code, frameworks, and ideas. You will also have opportunities to participate in and contribute to open‑source projects and communities.

What you'll be doing:

Discover, evaluate, and prototype emerging technologies with a strong focus on simulation, scale, and system behavior modeling.

Design, implement, and evolve high‑scale software systems integrated across the full Data Center life‑cycle.

Build advanced simulation solutions to model data‑center behavior, telemetry flows, failure scenarios, and system performance at scale.

Define and expand large‑scale telemetry and observability pipelines, ensuring accuracy, consistency, and traceability of data.

Incorporate new and diverse data sources to continuously extend the capabilities of a centralized, petabyte‑scale Data Lake.

Collaborate closely with engineering, architecture, and research teams across us to translate business and technical requirements into robust, scalable solutions.

Work side‑by‑side with architects and data scientists to design, validate, and evolve data and simulation architectures.

Contribute to defining the architecture of next‑generation monitoring, analytics, and simulation platforms for hyperscale data centers.

Extend existing platforms and actively contribute code, designs, and leadership to Open Source projects and communities.

We are seeking an experienced Security Architect who has experience in confidential computing and attestation systems. The ideal candidate should have deep expertise in at least one leading confidential compute architecture and ideally in PCIe support around TDISP, IDE, SPDM. Strong knowledge of general system security, virtualization and hardware-enforced isolation primitives is essential.

What you'll be doing:
Lead, research, design, develop, and implement solutions for next-generation confidential computing network devices.
Develop novel hardware isolation mechanisms to provide defense in depth in the SoC.
Collaborate with external and internal hardware and software teams to implement and deliver the architecture.
Architectural modeling, validation, microarchitectural definition, and developing proofs-of-concept for secure platforms.

We are seeking a technical leader to define, craft, implement, and guide firmware architecture for reliability, availability, serviceability, and power management across next-generation Networking products and platforms. You will take a strong hands-on role, working with hardware, firmware, software, validation, customer engineering, and external partners to build robust, diagnosable, power-efficient systems for large-scale deployments.

What you'll be doing:

Define platform-level firmware architecture for RAS and power management across SoCs, accelerators, DPUs, servers, embedded systems, and data center platforms.

Own error detection, classification, containment, recovery, escalation, and reporting architecture.

Define firmware architecture for power sequencing, power states, reset flows, thermal and power fault handling, idle management, and recovery from power-related failures.

Create firmware specifications for hardware error handling, health monitoring, crash capture, telemetry, diagnostics, debug data, and field serviceability.

Define interfaces and contracts between firmware, hardware, operating systems, BMCs, management controllers, platform software, and cloud/service infrastructure.

Drive architecture reviews, tradeoff discussions, failure-mode analysis, validation strategy, and long-term RAS and power management roadmap planning.

Establish standards for error logs, event schemas, telemetry flows, recovery policies, service diagnostics, and production debug infrastructure.

Guide engineering teams through implementation, validation, silicon bring-up, platform integration, and production deployment of RAS and power management features.

Analyze customer and field failures, identify architectural gaps, and feed lessons learned into future platform designs.