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Required Senior Verification Engineer, Digital Signal Processing, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you own the verification strategy for high-speed Physical Layer (PHY). You aren't just looking for RTL bugs, you are looking for system-level failures. You will lead the effort to verify how the digital DSP interacts with the analog front-end.
The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our services (Search, YouTube, etc.) and Cloud.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities:
Lead the verification strategy for high-speed PHYs (112G/224G), defining the test plan for top-level integration and mixed-signal boundaries.
Architect and implement mixed-signal verification flows using Real Number Modeling (RNM) or SystemVerilog-AMS to verify the interaction between Analog Front Ends (AFE) and digital DSP.
Design specialized testbenches to verify the stability, convergence time, and tracking capabilities of adaptive algorithms (e.g., LMS, Zero-Forcing) across Process, Voltage, Temperature (PVT) corners.
Develop tests that simulate real-world data center conditions, including link bring-up, auto-negotiation, and error-recovery protocols.
Act as the primary verification interface for the Signal integrity and Power Integrity (SI/PI) and Analog teams, ensuring that physical channel impairments (loss, crosstalk, reflections) are accurately reflected in the Design Verification (DV) environment.

Required Principal Engineer Software.

Join the Cortex team as a Principal Backend Engineer and own the backend strategy for our integrated detection and response engine. You will be responsible for transforming raw endpoint, network, and cloud data into actionable intelligence, using AI-driven techniques to dramatically reduce false positives and focus our defense on what truly matters: stopping the worlds most critical threats.
Key Responsibilities
backed by the massive scale and resources of a global leader, to architect and scale a world-class data infrastructure capable of processing billions of events per second in real-time.
Integrate state-of-the-art AI technologies to transform raw telemetry from the industry's leading cyber products into high-fidelity, actionable intelligence.
Own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code, building AI-augmented systems that are fast, maintainable, and resilient.

we are leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io While Artlist builds cutting-edge AI products to empower creators globally, this role is the other side of that coin. You will build the AI the company runs on internally. You will build the layer that enables, guides, and controls AI efforts across the organization- the identity, access, and audit backbone for internal AI - along with the assistants and automations that run safely on top of it. This is a hands-on infrastructure role with a security, fin-ops, and DevOps reflex built in. You will help teams move quickly as you will define the infra they should use and we manage this infra. What you'll own
* Platform ownership. Own the full lifecycle of internal AI and automation platforms - runtime infrastructure, CI/CD, and identity controls, end to end.
* Identity, cost & control. Implement identity, boundaries, technology, cost, efficiency.
* Workflow architecture. Design and service automations and custom AI assistants for internal teams (Support, Marketing, Legal, Finance, HR, and beyond)to help solve real operational pain.
* Research & tech scouting. Continuously evaluate emerging models, agent frameworks, and SaaS tools and onboard and implement them in Artlist.
* Standardization. Establish reusable design patterns, integrations, and prompt libraries so teams can automate their own work safely, efficiently and smoothly, for the best experience..