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SuperSonic is hiring a Staff Data AI Lead to lead our AI initiatives.As a Staff Data AI Lead you will be responsible for leading SuperSonic organization AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers

The AI and Infrastructure team works on the worlds toughest problems, redefining whats possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. Were at the center of amazing work at Google by being the flywheel that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.

In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.


Responsibilities
Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained-random verification environments using SystemVerilog and UVM, or formally verify designs with SVA and industry leading formal tools.
Identify and write all types of coverage measures for corner-cases.
Debug tests with design engineers to deliver functionally correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape-out.

Join our team working on an advanced ad-serving platform that powers millions of real-time interactions every second. As a Senior Backend Developer, youll play a key role in designing, developing, and maintaining a high-performance system that supports critical functionalities like targeting, attribution, budget management, and data pipelines for machine learning and reporting.Youll be expected to lead impactful projects, drive improvements in performance, scalability, and system reliability, and help shape solutions that directly influence the success of a globally recognized platform. We value bottom-up initiatives and encourage team members to bring their ideas to the table, fostering innovation and collaboration.
Why You'll Love This Role:

Take ownership of major projects and core features with significant business impact.
Work alongside skilled engineers in a fast-paced, high-scale environment.
Tackle challenging technical problems using cutting-edge tools like Kafka and Aerospike.
What you'll be doing
Design, develop, and monitor new features for the platform, including components supporting targeting, attribution, and budget management.
Maintain and optimize the performance of critical backend systems.
Refactor and improve legacy code to ensure scalability and efficiency.
Lead efforts to guarantee system reliability and low latency in a high-concurrency environment.
Collaborate with peers and across teams to deliver high-quality, production-ready solutions.

As a Principal Engineer of Mixed-Signal Design within the Chip Innovation and Infrastructure team, you will help deliver products that have a substantive impact on Googles technical infrastructure. You will provide technical leadership to a group of silicon engineers in an innovative and fast-paced environment with a focus on mixed-signal design for machine-learning accelerators within Google data centers. This role has a significant component of cross-collaboration with cross-functional organizations. You'll bring out the best in the team to deliver designs that serve many of Googles core businesses.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

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 Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Drive the mixed-signal design for CI2 in collaboration with other Google teams and external customers. Enable and maintain a strong co-design work process with all functions involved in designing and delivering mixed-signal components for CI2 products.
Ensure mixed-signal designs for CI2 chip architectures and fully enable and deliver Google product roadmap in terms of functionality, performance, power, cost, quality, usability, and deployability.
Set the direction for CI2 mixed-signal microarchitecture and modeling efforts and ensure on-time delivery of specifications to enable rapid and efficient development of next generation chips.
Collaborate with all functions of mixed-signal chip development (verification, implementation, etc.) and delivery (e.g., facilitate developers of various backgrounds to contribute to the mixed-signal architecture or encourage mixed-signal architects to be involved with chip development responsibilities).

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's 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.
The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities
Develop and execute comprehensive validation plans for Google's custom silicon, covering functional, performance, power, and reliability aspects.
Design and build scalable validation test infrastructure, including hardware setups, software frameworks, and automation tools on Emulation or FPGA platforms.
Lead the debugging and resolution of silicon issues, collaborating with cross-functional teams such as design, architecture, software, and firmware.
Analyze validation data to identify trends, root causes, and opportunities for improvement in silicon quality and reliability.
Build and mentor a high-performing team of silicon validation engineers, fostering a culture of collaboration, innovation, and technical excellence.