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We are looking for talented networking software engineers to develop an innovative new communication stack. Were starting from the ground up, rethinking existing protocols and network accelerators while designing both hardware and software for a new low-latency compute platform. We care about results and insist on doing things right. Our engineers are not siloed into narrow areas; our ideas are cross-fertilized among teams. Our technical backgrounds are diverse and we don't have preconceived approaches or cookbooks, so come and invent! The hardware teams are just a few steps away and really like hearing our ideas. This is a unique opportunity to develop creative solutions from concept to implementation.

Responsibilities
Take part in developing a networking stack from the ground up:
Analyze customer applications and explore creative ways to accelerate them in hardware or software.
Find the best ways to process packets on our hardware platform
Participate in architecture of future NIC generations .
Develop user-space libraries and benchmarks for low-latency communication
Work closely with the hardware teams to offload key features into the next generation of products.

As the QA Engineer in the company Domains team, you'll own quality end to end for mission-critical products that directly impact our users' ability to get their businesses online - millions of domains managed across our company's global platform. The role is AI-first by design: coding agents and AI tooling are your primary instrument, automation is second, and manual testing is the deliberate third, reserved for where human judgment genuinely wins. In your day-to-day, you will:
Own the quality strategy for our company Domains end to end - what gets tested, how, and to what standard
Build AI-driven testing: use coding agents to generate, maintain and extend coverage across complex product flows at a speed manual QA can't reach
Design and grow automation as the durable backbone of that coverage, across UI, API and integration layers
Plan and execute sharp manual and exploratory testing where it counts - API testing, complex integration testing, and edge cases not covered by our test-driven development methodology
Test flows that unfold over time and reach beyond our company, across many entry points and buying paths
Think like a hacker - understand weak points in solutions and help strengthen them
Influence engineering and product directly - your findings shape architecture, release decisions and what we build next
Coordinate and collaborate on QA projects with many cross-company teams - our product is used all across our company
Set the bar: define what "good" looks like for quality in a fast-paced organization, and raise it.

As a DevOps Engineer at our company, youll play a pivotal role in our cloud infrastructure group, driving the development, optimization, and maintenance of our cloud-based infrastructure. You will:
Design, implement, and maintain high-scale production cloud infrastructure solutions for availability, performance and resilience
Implement and maintain Infrastructure as Code (IaC) practices to ensure consistency and efficiency in deployment processes
Use your expertise in Linux and networking to enhance system performance, security, and reliability
Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud solutions
Troubleshoot and resolve complex issues related to cloud infrastructure and services affecting millions of users.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on our unique hardware architecture-unlocking a new level of performance.

We are seeking a talented engineer to work on our AI software stack-specifically, the low-level optimization of AI models and kernels for our unique hardware architecture.

Responsibilities
Develop our optimized AI libraries and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

As a Team Lead at Viewer, you'll lead the development of the infrastructure that renders 250+ million company sites with the highest SLA and speed worldwide. You'll oversee the creation of one of the busiest Scala and Node.js services at our company, handling over 1 million RPM. Your role will be pivotal in ensuring our Server Side Rendering (SSR) processes are efficient and scalable.
In your day-to-day, you will:
Lead the team responsible for managing all of our companys public traffic (> 1 million RPM)
Provide technical leadership to teammates through coaching and mentorship
Design, develop, and lead major features
Maintain high standards of software quality by establishing good practices and habits
Identify and encourage areas for growth and improvement within the team
Collaborate with various stakeholders to plan, design, develop, test, and maintain extraordinary features
Solve challenging problems in complex business flows with creative solutions.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on our unique hardware architecture-unlocking a new level of performance.

Our team is looking for a skilled professional to join the AI software group. In this role, you will focus on our AI kernel compilers, ensuring our hardware delivers peak optimization for sophisticated and custom AI kernels. You will work extensively with various kernel infrastructures, including Triton and CUDA, while collaborating closely with our AI graph compiler teams.

Responsibilities
Develop our AI kernel compilers and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

Join the company Headless team, where you'll build and own products that give our company users the flexibility to create and grow their online presence in new ways.
Our team owns the product end to end - from the first interaction at the top of the funnel, through activation and conversion to premium, to the ongoing experience of our users. This means you'll work on problems that combine deep engineering challenges with product thinking and have a direct, measurable impact on key business KPIs.
You'll move between designing backend systems, solving architectural challenges, building product capabilities, and improving user experiences.
You'll have the opportunity to understand the entire product journey and influence both how we build and what we build.
We're looking for hands-on engineers who enjoy seeing the bigger picture. People who can take an ambiguous problem, understand the user and business need behind it, collaborate across disciplines, and drive a solution from idea to production and beyond.

Ensure employees are provided efficient and timely desktop and local infrastructure support across the organization
Provide professional and efficient IT support to our company employees across different locations and time zones remotely
Manage, monitor, and respond to requests received through the IT Helpdesk in line with our agreed SLAs
Identify opportunities to reduce service requests through better user training and documentation
Manage equipment inventory from evaluation and purchasing to maintenance and depreciation
Take ownership of the IT procurement process by working closely with suppliers, procurement, and finance teams
Work with auditors to ensure that procurement procedures are being followed
Manage onboarding and offboarding processes for on-site and remote workers
Manage and maintain audio-visual equipment around the offices
Manage endpoint installations, upgrades, and troubleshooting (for MacOS, Windows, and Linux).

We are looking for a talented and experienced engineer to participate in designing the next era of computer architecture. In this position you will take part in designing the critical parts of our future chips. You will transform architectural requirements to micro-architectural specs, implement key blocks in RTL, and participate in post-silicon activities.

Responsibilities
Define and drive the design of advanced blocks from micro-architecture phase to netlist.
Support timing and constraints definitions work closely with the BE team on timing and physical implementation efforts.
Leading processes relating to power optimization.
Technology expert, building a knowledge base for the group.
Work with various teams to drive execution (SW, Architecture, verification, BE, etc).
Devise execution indicators and monitor and report execution progress to enable prioritization and clear decision making.

Ensure employees are provided efficient and timely desktop and local infrastructure support across the organization
Provide professional and efficient IT support to our company employees across different locations and time zones remotely
Manage, monitor, and respond to requests received through the IT Helpdesk in line with our agreed SLAs
Identify opportunities to reduce service requests through better user training and documentation
Manage equipment inventory from evaluation and purchasing to maintenance and depreciation
Take ownership of the IT procurement process by working closely with suppliers, procurement, and finance teams
Work with auditors to ensure that procurement procedures are being followed
Manage onboarding and offboarding processes for on-site and remote workers
Manage and maintain audio-visual equipment around the offices
Manage endpoint installations, upgrades, and troubleshooting (for MacOS, Windows, and Linux).

Come help lead the design and development of one of the most ambitious products at the forefront of compute technology!

Responsibilities
Lead a physical design team responsible for all stages of the physical design process-floor planning, placement, clock tree synthesis, routing, timing, and power optimization at both block and subsystem levels.
Mentor and guide a team of physical design engineers through all stages of the design flow.
Collaborate closely with project managers and other technical leads to ensure timely delivery and successful completion of projects.
Drive the technical direction of the physical design process to ensure efficient, high-quality outcomes.
Develop and implement best practices for physical design and continuous improvements of design workflows.
Optimize designs for performance, power, and area (PPA) to meet project goals.
Ensure compliance with DRC (design rule checking) and LVS (layout versus schematic) requirements.
Drive timing analysis and closure, working closely with the RTL design team to resolve timing violations.

You'll have the opportunity to build tools used across our company engineering, focused on improving company velocity and quality.
Build tools used by every developer at our company, with the goal of significantly improving the Velocity and Quality of our organization
Create new solutions and take ownership of existing ones in areas of production testing, performance and more
Take projects from ideation to production, including technical design, RFC, coding and beyond
Work with cutting-edge full-stack technologies at the highest industry standards and leveraging the most up-to-date tooling
Be a part of an infrastructure team with extremely experienced colleagues
Create developer-centric tools, crafted by developers, providing you the opportunity to influence the product at virtually every level.

You'll be a senior engineer on a deliberately flat, entrepreneurial team. Day to day you'll design and build agentic AI systems - agents, workflows, the orchestration layer that ties them together, and the infrastructure that makes all of it reliable at scale. This is hands-on building, not oversight.
What you'll do
Design and build agentic workflows and the AI systems behind them - agents, the orchestration layer, and the infrastructure that runs them reliably
Take significant, ambiguous areas of the system and drive them from rough idea to working capability
Help scale the platform from a first working workflow to something used across the marketing organization
Contribute to evaluation, quality, and reliability - making sure systems don't just run, but run well
Work directly with the people who'll use what we build, and translate their needs into systems.

As a Team Lead, you will lead a team of backend engineers that owns several core services at the heart of our companys editors infrastructure.
The team is responsible for:
Building and maintaining backend APIs that enable safe and scalable changes to the site model operating at massive scale and impacting millions of users
Designing and generating schemas that power our companys next-generation editors Harmony and Studio 2
Owning the editor loading flow, ensuring fast, reliable, and consistent editor initialization
In addition, you will:
Lead the design and ownership of a unified document site model that captures user intent across all our company editors
Provide technical leadership through mentorship, guidance, and hands-on contribution
Architect and maintain highly performant, scalable systems
Establish and uphold high engineering standards, best practices, and code quality
Collaborate with cross-functional stakeholders to design, build, test, and deliver impactful features
Drive complex technical initiatives from concept to production.

We're looking for an experienced xEngineer with a backend orientation to join the User Voice team.
User Voice is the platform that lets our company hear its users at scale. It ingests feedback from millions of user interactions and transforms it into actionable insights through a multi-stage AI pipeline - combining natural language understanding, semantic representation and retrieval, and large-scale unsupervised clustering. The platform is expanding rapidly - onboarding new feedback channels and new types of user signals - and you'll be a driving force in shaping the backend architecture behind that growth, powering the insights that shape product roadmaps across our company.
In your day-to-day, you will:
Design and evolve the platform's backend together with the team - a large-scale, event-driven microservices system processing feedback in real time and in batch
Lead the expansion to new feedback channels and new types of insight, shaping how each one is brought into the platform reliably and at quality
Build and improve the AI pipeline stages that turn raw feedback into structured, trustworthy insights - from LLM-based information extraction to semantic clustering
Help establish evaluation as part of how the team ships - automated quality measurement, regression evaluation on model and prompt changes, and readiness criteria for new feedback channels
Collaborate with data engineering, data science, and product to take capabilities from idea to production
Treat reliability, scalability, and cost as core features of the platform.