Base Salary
$202k - $224k/yr
Responsibilities
- Design and build the Kubernetes-native Job Controller for ML job submission, scheduling, execution, and cleanup.
- Build and improve Ray and Kubernetes integrations for large-scale training and processing workloads.
- Solve compute infrastructure problems involving cluster placement, resource pools, quotas, and capacity efficiency.
- Improve controller reliability and observability through safe rollouts, failure handling, and well-defined SLOs.
- Analyze job failures, scheduling delays, performance regressions, and resource utilization using data-driven methods.
- Build tooling, APIs, and frameworks that improve the velocity and quality of internal engineering and ML teams.
- Review code and designs, mentor engineers, and support a culture of continuous learning.
- Collaborate with ML, Product, Infrastructure, and Operations teams on projects and technical investments.
Requirements
- 6+ years of professional experience building scalable, fault-tolerant products or platforms.
- Proficiency in one or more of Go, C, C++, Java, Python, or JavaScript.
- Deep understanding of Kubernetes and Ray, including their internal operation, extension, operation, and debugging at scale.
- Experience with compute infrastructure such as cluster management, job scheduling, or resource orchestration.
- Experience delivering large-scale engineering projects from inception through production.
- Ability to make sound engineering and business tradeoffs.
- Bachelor’s degree in Computer Science, Engineering, or Mathematics, or equivalent practical experience.
- Preferred: experience building Kubernetes controllers and operators with tools such as controller-runtime or client-go.
- Preferred: experience with ML platforms, distributed training, or workflow orchestration systems.
- Preferred: experience operating Kubernetes or Ray across multiple clusters or regions.
- Preferred: advanced degree focused on distributed computing, system performance, or machine learning.
- Preferred: contributions to open-source projects such as Kubernetes or Ray.
Benefits
- Base salary is listed as USD $202,000-$224,000 per year for San Francisco, Seattle, and Sunnyvale roles.
- Eligibility for Uber’s bonus program and possible equity awards and other compensation.
- 401(k) plan for all full-time employees.
- Various additional benefits are provided.
Tech Stack
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.