Senior Software Engineer, Michelangelo Job Controller team
About the role and team
Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Senior Software Engineer on the Michelangelo Job Controller team, you will help build the compute infrastructure that runs ML workloads for hundreds of teams across Uber, from scheduling and launching Ray and other distributed jobs on Kubernetes to managing their lifecycle at scale. Our mission is to make transportation as reliable as running water, and we need strong engineers to build the dependable, high-performance foundation that supports that vision.
This is a role for a systems thinker who thrives in high-stakes environments. You will navigate the "messy" reality of complex infrastructure spanning global data centers and multiple cloud providers, supporting a wide variety of ML workloads. You will make smart decisions with imperfect information and own the outcomes of what you build. If you lead with clarity, build with heart, and are motivated by the challenge of reliability and efficiency at unparalleled scale, this is where you'll make your mark.
What you'll do
- Design and build the Job Controller, the Kubernetes-native system that manages the lifecycle of ML jobs, including submission, scheduling, execution, and cleanup.
- Build and improve the integration of Ray and Kubernetes, solving scaling, reliability, and resource utilization challenges for large training and processing workloads.
- Work on compute infrastructure problems such as job placement across clusters, resource pools, quota, and capacity efficiency.
- Drive reliability and observability for the controllers, including safe rollouts, failure handling, and well-defined SLOs.
- Use data-driven analysis to diagnose job failures, scheduling delays, and performance regressions, and to optimize resource utilization.
- Build tooling, APIs, and frameworks that increase the velocity and quality of hundreds of internal engineering and ML teams.
- Review code and designs, mentor other engineers, and foster a culture of continuous learning and humility.
- Work cross-functionally with ML, Product, Infrastructure, and Operations teams across the globe to drive projects and align technical investments with business value.
Basic Qualifications
- 6+ years of professional experience building scalable, fault-tolerant products or platforms, with a track record of solving important problems.
- Proficiency in one or more programming languages (e.g., Go, C/C++, Java, Python, or JavaScript).
- Deep understanding of Kubernetes and Ray, beyond using them as a user. This means knowing how they work internally and how to extend, operate, and debug them at scale.
- Experience with compute infrastructure, such as cluster management, job scheduling, or resource orchestration.
- Proven experience delivering large-scale engineering projects through the entire lifecycle from inception to production.
- Ability to make sound engineering and business tradeoffs.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
Preferred Qualifications
- Experience building Kubernetes controllers and operators (e.g., with controller-runtime or client-go).
- Experience with ML platforms, distributed training, or workflow orchestration systems.
- Experience operating Kubernetes or Ray across multiple clusters or regions.
- Advanced degree (Master's or PhD) with a focus on distributed computing, system performance, or machine learning.
- Experience contributing to open-source projects such as Kubernetes or Ray.
For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
About UsReady to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Skills Required
- 6+ years of professional experience building scalable, fault-tolerant products or platforms
- Proficiency in one or more programming languages, such as Go, C, C++, Java, Python, or JavaScript
- Deep understanding of Kubernetes and Ray, including extending, operating, and debugging them at scale
- Experience with compute infrastructure, cluster management, job scheduling, or resource orchestration
- Experience delivering large-scale engineering projects through the full lifecycle from inception to production
- Ability to make sound engineering and business tradeoffs
- Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent practical experience
- Experience building Kubernetes controllers and operators using tools such as controller-runtime or client-go
- Experience with ML platforms, distributed training, or workflow orchestration systems
- Experience operating Kubernetes or Ray across multiple clusters or regions
- Advanced degree focused on distributed computing, system performance, or machine learning
- Experience contributing to open-source projects such as Kubernetes or Ray
Uber Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.
-
Parental & Family Support — Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
-
Healthcare Strength — Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
-
Wellbeing & Lifestyle Benefits — Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.
Uber Insights
What We Do
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. 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.
Why Work With Us
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
Gallery
