Jobs in the United States

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Added 1 min ago
Senior Customer Engineer
Computacenter AG & Co. oHG
Los Angeles, CA
A Senior Customer Engineer role responsible for providing technical support to customers, troubleshooting complex IT issues, managing escalations, coordinating technical teams, and ensuring…
Added 2 mins ago
Wireless Security Engineer - Open Rank (Entry to Junior)-CIPHER
Atlanta, GA
The candidate must have a graduation date of no later than August 2026
Added 2 mins ago
Senior Software Engineer, Reliability
Roblox
San Mateo, CA
Are you a seasoned engineer with a passion for reliability and scalability? We’re looking for exceptional Software Engineers to join the Reliability team at Roblox. In this pivotal role,…
Added 2 mins ago
Mechanical Engineer 1 (NSSS Component Detail Design)
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Field Service Engineer III
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As an experienced Field Service Engineer, you will serve as a trusted technical resource for our customers, providing advanced troubleshooting, delivering exceptional service, and ensuring…
Added 3 mins ago
Physical AI Senior Engineer
Toyota
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Toyota’s Manufacturing Innovation & Transformation (MIT) – Manufacturing Center of Excellence is looking for a passionate and highly motivated Physical AI Senior Engineer.
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Service Desk Engineer
Gray Construction
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Gray Inc. is looking to add a Service Desk Engineer to support the Technology Services team in our Lexington, KY Office.
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Mechanical Engineer - Non Oily Waste (Part-time)
Noblis
Frankfort, KY
- Part-time
…life-cycle savings. Noblis is looking to hire a Mechanical Engineer to provide support to various ship programs for the US Navy in the areas of oil pollution abatement in the wastewater…
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Lead Information Security Engineer - Red Team
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The Lead Information Security Engineer within Product and Platform Security provides technical leadership and hands-on execution across Red Team functions. This role leverages advanced…
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Federal Oracle Health Automation Engineer - Eggplant
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As a Staff Automation Engineer, you will work independently, with appropriate guidance, to deliver high-quality functional and technical solutions in accordance with Oracle methodologies,…
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Senior Director Software Engineering
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Senior Front-End and Agentic-UI Engineer
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Project or Senior Geotechnical Design Engineer – Dams & Levees
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- $107,160 to $180,745 USD / year
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Early-Career Geoenvironmental Engineer
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Electrical Engineer - Distribution Design
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Valid driver's license required
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Product Engineer
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Principal Technical Machine Safety Engineer
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Electrical Engineer III
Textron
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As an electrical engineer, you will perform a variety of assignments including conceptual design, engineering analysis, detailed sub-system electrical design, integration, test, and…
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Global Digital Product Manager
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Louisville, KY
- $108,340 to $230,575 USD / year
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Senior Coronary Cathworks Territory Manager - Louisville, KY
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Louisville, KY · Lexington, KY
…advanced clinical education. In the cath lab, you will provide technical leadership during coronary interventions and physiological assessments and champion best practices for the use of…
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Automated Test Engineer
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Frankfort, KY
- $40 to $50 USD / hour
Our client seeks an Automated Test Engineer to support Hivemind by monitoring and maintaining large volumes of automated tests, troubleshooting failures, and driving bug resolution across…
Added 3 mins ago
Sr. Staff Software Development Engineer
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5G BTS Field Engineer
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Added 4 mins ago
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Software Development Engineer
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Seattle, WA
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Added 5 mins ago
Senior Engineer - Quantum Error Correction Libraries
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Remote, United States
…quantum computing ecosystem. We are looking for a senior software engineer to develop, scale, and optimize GPU-accelerated simulators for CUDA-Q, our platform for hybrid quantum-classical…

Uber

Sr Software Engineer - ML Infrastructure

San Francisco, CA, United States
Seattle, WA, United States
Sunnyvale, CA, United States
New York City, NY, United States

$202,000 to $224,000 USD / year

Apply on iaziqy.fa.ocs.oraclecloud.com About employer

Applications open in a new tab.

Job details

Pay: $202,000 to $224,000 USD / year
Posting language: English
Posted: Nov 12, 2026

Original job description

Senior Software Engineer - ML Infrastructure, Mobility Simulation and Planning About the role and team How can Uber plan pricing and incentives to meet financial goals while keeping its marketplace healthy and growing? That’s the challenge our Mobility Simulation and Planning (MSP) organization tackles within Marketplace. MSP builds forecasting, simulation, and optimization products that help Operations teams translate financial targets into pricing and incentive policies across hundreds of cities. Our planning product, Planner, brings these capabilities together to generate actionable price plans. Supporting this work requires scalable model training and simulation, efficient distributed computing, and reliable workflows for generating and deploying plans. The MSP Infra team builds the data and computing foundations that make these capabilities possible. We partner with engineers, scientists, and shared-platform teams to turn complex modeling workflows into reliable, scalable, reusable infrastructure. We’re looking for a Senior Software Engineer focused on ML infrastructure. You’ll build the frameworks, distributed execution capabilities, and developer tooling that help scientists develop, train, evaluate, and productionize models. Your work will make it easier to move from an experimental model to a dependable production workflow and to run the simulations and backtests needed to evaluate marketplace decisions. How do we scale training and simulation across CPUs and GPUs? How do we make experiments reproducible and performance bottlenecks easy to diagnose? How do we support new modeling approaches without creating a separate infrastructure stack for every use case? You’ll solve these problems through hands-on engineering, close collaboration with modeling teams, and end-to-end ownership of production systems. What you’ll do

Build shared ML frameworks: Design and evolve reusable interfaces and libraries for model development, training, inference, evaluation, and backtesting.
Scale distributed workloads: Build and optimize execution capabilities for training, simulation, and optimization across CPU and GPU infrastructure.
Accelerate experimentation: Develop tooling for hyperparameter tuning, experiment tracking, reproducibility, and performance analysis so scientists can evaluate ideas faster.
Simplify productionization: Create reliable orchestration, configuration, dependency management, and deployment patterns that reduce the gap between experimentation and production.
Improve performance and efficiency: Profile workloads, diagnose compute and memory bottlenecks, and make thoughtful tradeoffs across runtime, resource utilization, reliability, and cost.
Build on shared platforms: Partner with Uber’s ML and compute platform teams to adopt and extend common capabilities rather than maintain isolated infrastructure.
Own systems and raise the engineering bar: Lead projects from design through rollout and operations, participate in on-call and incident response, and mentor engineers through design and code reviews.

Basic Qualifications

6+ years of professional software engineering experience, including work on ML infrastructure, distributed computing, or production platforms for computationally intensive workloads.
Strong programming skills in Python and experience building maintainable, well-tested software.
Experience designing, building, and operating distributed systems or workflow execution infrastructure.
Experience supporting production ML workflows, such as model training, batch inference, evaluation, or deployment.
Understanding of performance fundamentals, including parallelism, memory management, data movement, and resource utilization.
Experience delivering technical projects from design through production rollout and ongoing operations.
Ability to communicate technical tradeoffs and collaborate across engineering, data science, and platform teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

Experience with Ray or comparable distributed computing frameworks.
Familiarity with ML frameworks such as PyTorch, PyTorch Lightning, or LightGBM.
Experience with distributed training, GPU performance profiling, or CPU/GPU workload optimization.
Experience building hyperparameter tuning, experiment tracking, or model evaluation infrastructure.
Experience supporting large-scale simulation, backtesting, forecasting, or optimization workloads.
Familiarity with workflow orchestration, containerized execution, CI/CD, and build or dependency-management systems.
Experience designing shared frameworks or developer platforms adopted by multiple modeling teams.
A track record of measurable improvements in training or inference performance, infrastructure reliability, compute efficiency, or model-development productivity.

For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.

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.

Apply on iaziqy.fa.ocs.oraclecloud.com About employer

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Jobs in the United States