• Design, build, and operate distributed, event-driven systems that power accounting close automation and capital risk workflows. • Deliver scalable data processing solutions that transform high-volume financial events into accurate, reliable business outcomes. • Partner closely with Product, Data Analytics, Finance, and Engineering teams to define technical solutions for complex financial processes. • Improve the reliability, scalability, and maintainability of critical financial systems while thoughtfully managing technical debt. • Lead multi-quarter engineering initiatives from architecture through production, balancing long-term platform investments with business priorities. • Leverage AI-assisted development tools to improve engineering productivity while maintaining high standards for quality, security, and correctness.

• You’ll become a key contributor to the team, taking responsibility for the success of some of our subsystems. • You will be participating on medium to large impact team initiatives, and within a year be able to execute on such projects. • You’ll help with interviewing potential teammates. • You’ll create technical designs that proactively address cost efficiency, security, and observability. • You’ll deliver technical plans, one-pagers, DRs, and other artifacts. • You’ll work with Kubernetes, GCP, Helm, Terraform, DataDog, ArgoCD, CircleCI, Atlantis, Docker (the list goes on) to deliver your work. • You’ll be responsible for improving developer velocity across the company (leveraging frameworks like DORA) and hardening our reliability and observability. • You’ll participate in on-call rotations and help keep all of Apollo afloat • You’ll be fully empowered to fix the root cause of issues, and ruthlessly quell any noisy monitors

Role Description Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Sensor Simulator Platform Team maintains the core of the simulation pipeline that allows Waymo to drive millions of simulated miles each year. The team is responsible for both the rendering/simulation engine as well as the pipeline that lets a variety of internal customers run SensorSim at scale. - Help build and maintain efficient simulators capable of running millions of simulated miles to evaluate the safety of Waymo's onboard models. - Work with multi-modal data processing and simulation, including cameras, lidar, and radar. - Interface with AI and machine learning teams that develop parts of the simulation pipeline. Qualifications - Developed or worked with 3D game engines. - Experience in approximating the real world with data simulation, which might include physics simulation, animation capture, light transport, photogrammetry, NeRFs, or Gaussian splats. - Experience in working on efficient asset management pipelines for data storage and processing. Requirements - Prior experience in working on or integrating with ML pipelines and a general understanding of how such pipelines are trained and improved. - Experience in scaling complex data processing pipelines and an understanding of the trade-offs in structuring these pipelines to operate synchronously or asynchronously. Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is: $213,000 — $263,000 USD

• Join a senior, distributed team: Become part of a closely-knit group of senior engineers at the intersection of application and infrastructure, working asynchronously with ongoing communication in public Slack channels. • Architect and build platform infrastructure: Design, build, and operate foundational components of our multi-cell platform, including service routing, cloud networking, and the control plane for managing account lifecycles. • Drive seamless migrations: Develop and automate the tooling to migrate customer accounts from legacy environments to the new multi-cell architecture at scale. • Develop scalable backend services: Write robust, high-quality backend services and infrastructure code, primarily in Go and Python, with opportunities to work with Rust. • Tackle cloud networking challenges: Collaborate on network architecture design, including VPC management, load balancing, DNS, PrivateLink, and service mesh configurations to support single-tenant and multi-tenant deployments. • Automate for scale: Design and implement automation using tools like Argo Workflows, Kubernetes, and Terraform to enhance the reliability, efficiency, and scalability of our platform. • Collaborate and mentor: Work closely with product engineering teams, security, and customer support to unblock feature conformance, define technical direction, and mentor other engineers. • Own and troubleshoot: Take strong ownership of distributed systems, troubleshoot complex issues across application and network layers, and participate in an on-call rotation to maintain high availability.