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We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

We're looking for an AI Specialist Engineer to join our AI Enablement team. This is a high-impact role where you will build products and internal tools used across the entire company, while working with the most advanced AI tools and best practices available today.
Key Responsibilities
Develop internal AI-powered products and tools used by teams across our company to work faster and smarter.
Lead the evaluation, integration, and rollout of AI-powered development tools across engineering teams.
Build proof-of-concept projects and internal tooling that demonstrate the practical value of AI in real workflows.
Develop best practices, prompt engineering guidelines, and training materials for AI-assisted development.
Stay current with the rapidly evolving AI tooling landscape and advise leadership on strategic adoption.
Work hands-on with the most advanced AI development tools and shape how the company uses them.

We're looking for an AI Workflow Engineer to join our System Architecture group. This is a high-impact role where you'll design, build, and continuously improve AI-powered workflows, agents, and tools that help our architects do their best work - from system design and modeling through documentation, technical decision-making, and review.
Working from within the architecture team, you'll turn the group's real, day-to-day pain points into practical AI-assisted solutions. Your primary focus is system architecture within the software development lifecycle (SDLC), and because architecture touches everything, your work will naturally extend into adjacent stages wherever AI can add value.
Key Responsibilities:
Design and build AI-powered workflows, agents, and internal tools that support system architecture work - design, modeling, documentation, architecture decisions, and reviews.
Develop and iterate on agents within our internal framework, using agentic AI techniques to accelerate and augment architecture and engineering tasks.
Continuously improve existing workflows and tools as team needs evolve and AI capabilities advance.
Partner closely with the System Architecture team to understand real pain points and turn them into practical, AI-assisted solutions.
Measure and demonstrate the impact of the workflows you build - for example on design-cycle time, review turnaround, and the quality and completeness of architecture documentation and decision records.
Build proof-of-concept projects that show the practical value of AI in real architecture and engineering workflows.
Develop best practices, prompt engineering guidelines, and reusable patterns for AI-assisted architecture and development.
Stay current with the rapidly evolving AI tooling landscape and advise on strategic adoption.

We are seeking a senior ATE Software Engineer to design, build, and deploy our next-generation automated manufacturing test platform for advanced telecom, high-density switching, and optical networking hardware.
In this role, you will bridge the gap between R&D hardware/firmware teams and high-volume manufacturing lines. You will take ownership of ingesting, refactoring, and consolidating disparate R&D scripts, diagnostic tools, and legacy software into a single, scalable, production-grade test platform.
We expect you to leverage modern AI-assisted development tools and workflows to maximize engineering efficiency, accelerate delivery timelines, and build highly robust, self-healing test automation. You will deploy test stations across global Contract Manufacturers (EMS/ODM), actively stabilize production lines through bring-up and ramp-up, and drive continuous test maintenance and root-cause failure analysis (RCA).
Key Responsibilities
Test Platform Architecture & Software Development:
Design, develop, and productize robust, modular test software frameworks for board-level (PCBA) and system-level manufacturing testing across multiple product lines and manufacturing sites.
Codebase Unification & Refactoring:
Consolidate and standardize R&D diagnostic libraries, silicon validation scripts, and firmware tools developed across various environments (Python, C# / Visual Studio, VB, ATEasy, Linux) into a unified, maintainable test execution engine.
AI-Accelerated Development & Workflow Automation:
Actively integrate Generative AI tools and AI coding agents into your daily workflow to accelerate code conversion/refactoring, automate test case synthesis, generate edge-case validation scripts, and enhance overall codebase resilience.
Production Line Deployment & Stabilization:
Deploy test stations and fixtures to local and overseas EMS/CM production lines. Monitor, debug, and fine-tune test execution during NPI and ramp-up phases until yield, takt time, and test stability targets (CPK / First Pass Yield) are achieved.
Failure Investigation & Intelligent RCA:
Investigate complex system-level and component-level test failures. Utilize advanced log analysis, structured telemetry, and pattern recognition to drive root-cause investigations and implement preventive software/hardware fixes.
Ongoing Test Maintenance & Optimization:
Provide continuous operational Production line support and maintenance, bug fixes, software updates, and station cycle-time optimizations for active mass-production lines.
R&D Collaboration & Test Specification:
Collaborate closely with Hardware, Firmware, and Validation teams during early design phases to define test specifications, drive Design for Testability,
Documentation & Technical Reporting:
Author and maintain comprehensive testing documentation, Standard Operating Procedures (SOPs), test coverage matrices, and detailed failure analysis reports.
Manufacturing Systems Integration:
Integrate automated test sequences with CMs SFC/MES/QMS, serialized tracking, and central test log databases.
Log Analysis & Analytics Tool Development:
Design and build dedicated log parsing, data visualization, and diagnostic analytics tools to streamline complex hardware/software debugging, accelerate root-cause analysis (RCA), and drive continuous production line cycle-time and yield optimization.

We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms.
If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems - we want to hear from you!
Responsibilities:
Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure).
Manage and evolve virtualization platforms such as VMware and KVM (Proxmox).
Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices.
Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization.
Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI.
Automate infrastructure provisioning, configuration, monitoring, and operational workflows.
Build and maintain internal tools to improve developer experience and engineering productivity.
Ensure system reliability, performance, and cost optimization across cloud and on-prem environments.
Maintain high security standards, compliance, and operational best practices.
Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments.
Develop and maintain clear technical documentation.

we are a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. our company's solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.
Responsibilities
Partner with Accounting, FP&A, Procurement, and other Finance stakeholders to understand business requirements and operational challenges
Analyze existing Finance processes, identify gaps and manual activities, and design scalable solutions
Translate Finance requirements into system configurations, workflows, controls, reports, and automation
Lead implementation projects from requirements definition and solution design through testing, UAT, deployment, and adoption
Ensure implemented solutions support accounting requirements, internal controls, data accuracy, and audit readiness
Document implemented processes, system logic, controls, and user procedures
Serve as Finance's hands-on NetSuite implementation expert - designing and implementing configurations, workflows, saved searches, reports, dashboards, roles, and approval processes
Improve the use of NetSuite across Finance and reduce reliance on spreadsheets and manual work
Support the implementation of new NetSuite modules and functionality, coordinating system changes and integrations with internal stakeholders and external implementation partners
Lead testing, UAT, issue resolution, and user training for Finance-related system changes
Identify practical opportunities to use AI and automation across Finance; evaluate, select, and implement AI-based tools that improve efficiency, accuracy, controls, and decision-making
Build or implement AI-enabled workflows for reconciliations, month-end close support, journal-entry review, variance/anomaly detection, forecasting, and management reporting
Develop AI assistants or agents that can securely analyze financial information, answer Finance-related questions, generate reports, and flag items requiring review
Establish validation, access, and control mechanisms for the use of AI in Finance, and continuously monitor and improve implemented solutions
Support Finance-related integrations between NetSuite and systems such as Salesforce, DealHub, Combitas, banking platforms, procurement tools, and reporting solutions
Define data flows, business rules, controls, and reconciliation requirements, working with internal IT teams and external vendors on technical integration activities
Develop Finance dashboards and self-service reporting where required.

As a Solution Engineer, you will play a pivotal role in designing, deploying, and optimizing our companys Network Cloud AI Infrastructure solutions. This individual contributor role requires a blend of technical expertise, leadership, and hands-on experience to implement cutting-edge solutions for our customers. You will collaborate with sales engineering teams, customers, and cross-functional teams - including Product Management, Solution Architects, Engineering, and Marketing - to define technical requirements, articulate solution value, and ensure successful deployment on-site.
Key responsibilities include guiding customers through the design and deployment process, aligning technical solutions with business needs, and providing critical feedback to improve our companys product offerings. This position demands strong technical acumen, exceptional communication skills, and the ability to lead complex, high-impact projects in dynamic environments.
Responsibilities:
Design and plan rack layouts and network topologies to support customer requirements.
Perform Data Center upgrades and ensure smooth deployment of our company solutions.
Install and configure our company products, ensuring optimal performance and customer satisfaction.
Design and implement compelling Proof of Concept lab setups, run them, and collect and document the results for the field consumption
Develop and deliver HLD and LLD documentation for customer deployments.
Design and evaluate automation scripts for network operations, configuring server and switch fabrics.
Engage with sales teams and customers to ensure success with major opportunities and deployments
Introduce new products to the company sales and support teams and to company customers
Deliver technical trainings and TOIs for support/sales engineers, partners, and customers
Collaborate on product definition through customer requirement gathering and roadmap planning.

we are seeking a highly motivated and skilled Software Engineer to join our Hardware Software team. In this role, you will be responsible for the development and integration of Board Support Packages (BSP) and low-level firmware components for our carrier-grade networking solutions. Carrier-grade routers/switches designed for service providers or data center networks. The systems integrate ASICs and high-throughput backplanes supporting multi-terabit line rates. You will work closely with hardware, platform, and system architects to bring up new hardware platforms and support advanced network functionalities in high-performance environments.
Key Responsibilities:
Develop, integrate, and maintain BSP components, including bootloaders (e.g., U-Boot), device trees, and hardware abstraction layers.
Design and implement firmware and low-level drivers for network-centric hardware platforms (e.g., ASICs, NICs, SoCs, CPLDs, FPGAs).
Support hardware bring-up and board validation, collaborating with hardware engineers and system integrators.
Work on performance optimization, debugging, and stability improvements of system software on embedded Linux platforms.
Interface with third-party SDKs and adapt them to fit within our company's software infrastructure.
Ensure compliance with industry standards and best practices for networking and embedded systems.

We are seeking an exceptional and highly experienced Senior System Engineer to join our elite HW R&D team. This role is suited for a seasoned professional (15+ years of experience) in the networking and telecommunications industry, with a proven track record in multi-platform system architecture, hardware/software integration, and deep protocol-level understanding. The ideal candidate will lead and define end-to-end system behavior across multiple layers, ensuring alignment between hardware platforms and software stacks.
You will work closely with internal and external stakeholders to define detailed system specifications, drive platform validation, and ensure our solutions are reliable, efficient, and meet the demanding requirements of service providers.
Key Responsibilities
System Architecture & Design
Own the end-to-end system architecture across various company platforms (routing, switching, timing, and synchronization platforms).
Define and maintain system-level functional specifications and engineering requirements documents (ERDs), covering HW-SW interfaces, thermal, mechanical, power, and performance constraints.
Evaluate and drive platform-level trade-offs (e.g., performance vs. power, scalability vs. complexity).
Collaborate with hardware design, software architecture, thermal, and mechanical teams to ensure cohesive system integration.
CPU selection, boot methodologies, FW upgrades, IC programming, etc.
Technical Leadership
Act as the technical authority on system behavior, network feature interaction, and platform compatibility across various ASIC vendors.
Drive design reviews, providing critical input on system-level implications and interactions.
Detailed Specifications & Documentation
Develop comprehensive and structured documentation: platform requirement specs, interface control documents (ICDs), test coverage matrices, thermal analysis reports, power budgets, and system bring-up guides.
Create and maintain clear, accurate, and implementation-ready specifications to be used by hardware, software, validation, and operations teams.
Thermal, Power & Mechanical Integration
Analyze and approve cooling methods and thermal design requirements (airflow, heat sinks, thermal interface materials, etc.).
Analyze power distribution planning, and integration with PSU/voltage regulator designs.
Work closely with mechanical engineering.

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

Required Senior Software Engineer - C/C++
What will your job look like:
Design, develop, and maintain production-grade software using C++ and Python.
Build modular, well-architected components following object-oriented design principles.
Optimize code for real-time and low-latency operation.
Collaborate with cross-functional teams to deliver end-to-end solutions.
Write clean, maintainable, and well-tested code.

Senior Backend Engineer
What will your job look like:
Architect a Centralized Platform: Design and develop a comprehensive, multi-purpose application that serves as the central hub for the company's robotic operations, fleet management, and performance analytics.
Develop Robot Control Interfaces: Build real-time control systems that allow engineers and operators to securely connect to the robots, visualize live sensory data, and directly command robot functionality via tele-operation.
Cross-Functional Integration: Collaborate closely with our AI, simulation, and hardware teams to ensure seamless data flow and integration between the physical robots, backend infrastructure, and user interfaces.