377 jobs for "Software Engineer - Distributed Compute"

Backend Software Engineer

At Atlassian - Remote / Flexible

Posted on Oct 21

View job Apply on company site

ML Framework (MetalLM) Engineer, Graphics, Game and ML

At Apple - Cupertino

Posted on Oct 19

View job Apply on company site

Software Engineer III - Fullstack, ITC

At NIKE, Inc.

Posted on Nov 5

View job Apply on company site

Principal Software Engineer (Python, KDB+, Electronic Trading, AWS)

At Fidelity Investments - Jersey City

Posted on Oct 30

View job Apply on company site

Staff Software Engineer - Mobility

At Uber - Sao Paulo · Rio de Janeiro

Posted on Nov 3

View job Apply on company site

Full stack Developer

At Charles Schwab - Austin

Posted on Nov 8

View job Apply on company site

Senior Software Engineer, Data Platform (Autonomous Vehicles)

At General Motors - Austin · Mountain View

Posted on Oct 15

View job Apply on company site

AIML - Machine Learning Engineer for MLX, MLR

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Lead Software Engineer, Global Converse, ITC

At NIKE, Inc.

Posted on Nov 2

View job Apply on company site

Principal Software Engineer

At Fidelity Investments - Jersey City

Posted on Oct 14

View job Apply on company site

Sr. SDET

At Charles Schwab - Austin

Posted on Nov 7

View job Apply on company site

Sr Software Engineer - Engineer

At Uber - Sunnyvale · San Francisco

Posted on Nov 3

View job Apply on company site

Sr Software Engineer

At Uber - New York City · San Francisco

Posted on Oct 26

View job Apply on company site

Lead Software Engineer

At Charles Schwab - Austin

Posted on Oct 25

View job Apply on company site

Lead Software Engineer - Forward Deployed Engineering, ITC

At NIKE, Inc.

Posted on Oct 29

View job Apply on company site

Senior Network Software Engineer, Infrastructure Services

At Apple - San Francisco Bay Area

Posted on Oct 17

View job Apply on company site

Product Engineer II - Generative AI, ArcGIS Enterprise

At Esri - Redlands

Posted on Oct 27

View job Apply on company site

Cloud Networking Senior Engineer

At Aptiv - Ottawa

Posted on Oct 29

View job Apply on company site

Associate Cloud Engineer

At Aptiv - Ottawa

Posted on Oct 23

View job Apply on company site

Security Engineer

At SpaceX - Starbase

Posted on Oct 16

View job Apply on company site

Uber

Sr Software Engineer - Engineer

Sunnyvale, CA · San Francisco, CA · Seattle, WA$202,000 – $224,000Posted 5 days ago

Apply on company site View full job

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.

Ready 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.

About Uber

Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.

Size: 10,000+ employees
Industry: Technology

View company profile