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We are looking for a Senior Network & Security Engineer to join our dynamic IT team.
Design, deploy, and operate enterprise and datacenter network infrastructure.
Manage and troubleshoot LAN, WAN, WLAN, VPN, and security environments.
Configure and maintain routers, switches, firewalls, load balancers, and related infrastructure.
Design and implement scalable network architectures based on modern cloud and hyperscale principles.
Drive network automation using Python, Golang, Shell, or similar technologies.
Build and enhance self-service infrastructure platforms supporting engineering and lab environments.
Monitor network performance, availability, and security using automated monitoring and alerting systems.
Collaborate closely with Infrastructure, Security, and Engineering teams to implement security controls and best practices.
Participate in architecture reviews, capacity planning, disaster recovery, and operational excellence initiatives.
Mentor team members and contribute to technical leadership across

we are seeking a highly motivated Power Integrity Engineer to join our Hardware Engineering team. In this role, you will be responsible for defining, analyzing, simulating, and validating power delivery networks (PDNs) for next-generation networking platforms supporting high-performance ASICs, advanced SerDes interfaces, optical modules, and AI-scale networking systems.
You will work closely with hardware architects, PCB designers, ASIC teams, signal integrity engineers, mechanical engineers, and manufacturing partners to ensure robust power delivery, optimal system performance, and successful product deployment.
Responsibilities:
Lead Power Integrity (PI) activities throughout the hardware development lifecycle, from architecture through production.
Define and optimize board-level and package-level Power Delivery Networks (PDNs) for high-current networking ASICs and supporting devices.
Perform pre-layout and post-layout PI simulations using industry-standard tools.
Establish target impedance requirements and validate compliance across all power rails.
Analyze DC voltage drop, AC impedance, transient response, and power distribution performance.
Collaborate with PCB layout engineers to optimize stackups, plane structures, decoupling strategies, and power routing.
Work closely with Signal Integrity engineers to ensure SI/PI co-optimization of high-speed interfaces.
Develop power integrity design guidelines and best practices for next-generation networking products.
Support schematic reviews, layout reviews, and design sign-off activities.
Perform laboratory measurements and correlation using oscilloscopes, VNAs, power analyzers, current probes, and related equipment.
Investigate and resolve PI-related issues during board bring-up, validation, and production.
Collaborate with ASIC, FPGA, memory, optics, and power component vendors to optimize overall system performance.
Drive continuous improvement of PI methodologies, simulation flows, and validation processes.

we are seeking a Senior Product Manager focused on ML Platform to be a key member of our Product Management team. Join a dynamic and forward-thinking company at the forefront of AI infrastructure. We leverage advanced technologies to develop innovative solutions that drive efficiency, scalability, and exceptional compute performance. Collaborate with the industry's best as we partner with hyperscalers, emerging NeoClouds, and enterprises building large-scale AI clusters, shaping the future of heterogeneous AI infrastructure. Our environment fosters creativity, teamwork, and growth, and offers you the opportunity to make a meaningful impact while working on groundbreaking projects.
As a Senior Product Manager for the ML Platform, you will own the strategy, roadmap, and feature definition of ' heterogeneous inference serving platform - a system designed to enable efficient inference across diverse and mixed compute environments. You will work directly with our R&D teams and end customers to shape the product, engage compute and storage partners to co-define reference architectures, and serve as an internal expert on performance benchmarking and collective communication tuning in support of ' cluster and performance engineering teams.

We are looking for a senior Quality Engineer to serve as our main technical expert for hardware quality and environmental compliance from New Product Introduction (NPI) to mass production. In this high-level role, you will be responsible for building our very first quality plan, setting up our quality system from scratch, and writing all standard procedures.
You will lead the company through its initial certifications for both ISO 9001 and ISO 14001 and take full responsibility for keeping them updated. You will also look ahead to prepare our systems for ISO 45001 (Occupational Health and Safety) as we grow. someone with an open-minded and creative approach to finding ways to use AI tools to automate manual quality tasks. Working closely with both software and high density networking hardware teams, you will make sure our products, local and international factories, and global vendors meet top industry standards for reliability and sustainability. This role requires managing quality systems for production lines located both locally and abroad, with a willingness to travel and visit our global lines as needed.

we are looking for a System Architect.
You'll join our System Architecture group and own end-to-end design of a hyper-scale router Software - DNOS. From customer requirements through deployment. Expect deep cross-functional collaboration, hands-on spec leadership, and direct customer engagement at the architecture level including leveraging AI tools to produce high-quality specifications.
You will:
Define system requirements and lead architectural design across routing and data path
Drive spec reviews and guide engineers through design decisions
Establish design standards that improve resilience, security, and efficiency at scale

We are looking for a Vendor Manager to own the end-to-end relationship with our component and sub-system vendors - starting with Optics suppliers and expanding to future strategic partners.
This is not a buyer role and not a narrow technical position. You will be the single point of accountability between and each vendor: commercial governance, supply continuity, quality oversight, NPI execution, and RMA management - all in one role.
You will work closely with Engineering & Quality, Global Supply Chain, and Planning, and report to the Director of Global Supply Chain.
What You'll Do:
Vendor Onboarding
Lead end-to-end onboarding of new vendors - technical qualification, internal and external commercial setup, quality baseline, and NPI readiness
Coordinate qualification audits (PPAP/FAI) and production readiness reviews before first shipment
Commercial Management
Own pricing, capacity commitments, payment terms, and contracts for each managed vendor
Drive quarterly business reviews (QBRs); act as the primary escalation point for commercial disputes and supply deviations
Maintain alternative source qualifications and business continuity plans
Forecast, Supply & Delivery
Receive MPS / forecast from planning and drive delivery execution with vendors against committed timelines
Track delivery performance; proactively surface shortages and capacity issues with mitigation options
Manage vendor liability: consigned inventory, write-off decisions, aging stock
Quality & Technical Governance
Own vendor quality KPIs (FPY, DPPM, corrective action closure); coordinate resolution between vendor, Engineering, and Quality
Track engineering changes (PCN) and manage vendor NPI participation across EVT, DVT, and PVT builds
RMA & Field Returns
Manage field returns to vendor: return authorization, failure analysis coordination, and replacement shipment tracking
Ensure 8D root cause closure and feed learnings back into production

we are seeking an experienced and strategic Vice President of Program & Release Management to lead the end-to-end lifecycle of complex programs and software releases across our networking portfolio. This executive will drive cross-functional execution across Product, Engineering, and Quality to ensure high-quality delivery to global customers and partners.
The VP will play a critical leadership role in the R&D management team, scaling program and release governance in a fast-growing, globally distributed environment. This includes orchestrating large-scale software releases and aligning platform evolution with customer commitments.
Key Responsibilities:
Strategic Program Leadership
Lead large-scale programs spanning a 300+ engineering organization across multiple products, platforms, and technologies.
Translate business and product strategy into executable multi-quarter roadmaps.
Define development processes to support scale and quality.
Establish metrics and reporting frameworks to provide transparency and risk insights to the team.
Release Management & Execution
Own the release lifecycle from planning through all execution phases to customer go-to-market readiness.
Ensure structured coordination of software and hardware releases across Engineering, QA, and delivery teams.
Integrate AI-based tooling and analytics (release forecasting, risk detection, automation, quarter planning readiness, customer trends) to drive release excellence.
Cross-Functional Management
Partner with Product, Engineering, and Customer Support to align priorities and remove blockers.
Manage dependencies and trade-offs across diverse stakeholder groups.
Team Leadership
Build, mentor, and scale a high-performing Program & Release Management organization.
Promote a culture of continuous improvement and innovation.

A leading technology company providing cloud-based customer experience solutions is looking for a Backend Engineer to join its engineering team. This is a 6-month temporary position (maternity leave replacement) focused on building scalable backend systems, developing high-impact features, and leveraging AI-assisted development tools, especially Claude Code, as part of the daily engineering workflow.
Responsibilities:
Develop backend features using Java, Spring Boot and Microservices architecture.
Use AI coding tools for planning, development, code review, and improving engineering workflows.
Design technical solutions, build REST APIs, and work with relational databases.
Participate in architecture discussions, code reviews, and Agile/Scrum processes.
Promote best practices for validating and improving AI-generated code.