Senior Software Engineer, Ad Auctions

About the Team The Advertising Performance group focuses on outcomes for all participants in the advertising ecosystem: advertisers, publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization with distributed systems at large scale and low latency. We use machine learning, reinforcement learning, AI, control systems, optimization systems, and auction dynamics to solve a broad set of complex problems. At the core of this is our machine learning, experimentation, and inference platform, which powers the ecosystem and is continuously evolved over time. About the Role In this role, you will build teams focused on the Ads Auction and Marketplace to optimize yield and gross profit while performing real-time multi-objective optimization across short- and long-term objectives. You will help build control and simulation systems, design and run experiments, and extend the experimentation framework. You will also partner closely with Engineering, Inventory, and Product teams to define the vision and strategy for your group and to build and deliver the roadmap. This role is ideal for a leader who can combine deep technical judgment with strong cross-functional collaboration. You will contribute to systems that directly impact marketplace efficiency, advertiser outcomes, and platform revenue. What You’ll Be Doing Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s CTV advertising across The Roku Channel and the Roku platform Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping Build low-latency, highly reliable distributed services that operate at massive scale and serve billions of ad opportunities with strict latency and uptime requirements Design auction logic that balances viewer experience with advertiser performance, publisher yield, and platform revenue Develop and optimize SSP-side auction mechanisms and integrate with multiple DSPs, programmatic demand sources, and direct-sold campaigns Partner closely with product managers, data science, and ads research teams to translate marketplace and monetization goals into scalable technical solutions Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions using statistical rigor Ensure auction correctness, fairness, explainability, and transparency while maintaining compliance with privacy, regulatory, and brand-safety requirements Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations We’re Excited If You Have 5+ years of experience building large-scale distributed systems 5+ years of experience working with cloud-based platforms and infrastructure Deep experience building microservices in Java for container platforms such as Docker or Kubernetes Solid understanding of SQL and NoSQL databases Hands‑on experience with AWS, GCP, or similar cloud services Experience with protocols and data formats such as REST, WebSockets, JSON, and Protobuf Demonstrated ability to drive timely consensus in design with senior engineering partners Bachelor’s or Master’s degree in Computer Science, Engineering, or an equivalent field Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It’s important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to View email address on click.appcast.io. #J-18808-Ljbffr Roku