oracle
Senior Software Engineer – ML Infra
Uber Technologies, Inc.
Sunnyvale, USA
Full-time
Senior · 6+ years experience
Onsite
Discovered 2 days ago
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Key Skills for This Role
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Basic Qualifications
- 6+ years of professional experience building scalable, fault-tolerant products or platforms, with a track record of solving strategically important problems.
- Proficiency in one or more programming languages (e.g., Go, C/C++, Java, Python, or JavaScript) and the ability to define organization-wide standards.
- Proficiency in state of the art deep learning technologies, such as distributed training frameworks, LLMs, GPU optimizations, etc.
- Proven experience leading large-scale engineering projects through the entire lifecycle from inception to global productionization.
- Expertise in making complex engineering/business tradeoffs, managing the implications of "buy vs. build" or "incremental vs. rewrite" decisions.
- Experience identifying architectural gaps and acting as a multiplier to reduce technical debt across the organization.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
Preferred Qualifications
- Advanced degree (Master’s or PhD) with a focus on distributed computing, system performance, or machine learning.
- Experience contributing to open-source projects or leading industry-level technical discussions.
- Ability to anticipate future business needs and develop extensible, modular designs that meet long-term scalability targets.
Responsibilities
- 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.
- Design and build end-to-end systems for Uber’s ML training stack. Solve the scaling challenges on very large datasets and models.
- Provide deep technical mentorship across the stack, ensuring architecture and implementations are robust, extensible, and secure.
- Build innovative solutions that leverage statistical analysis to diagnose performance regressions and optimize resource utilization across complex infrastructures.
- Create best-in-class tools and frameworks that increase the velocity and quality of hundreds of internal engineering teams.
- Lead and mentor engineers, reviewing code and designs while fostering a culture of continuous learning and humility.
- Work cross-functionally with Product, Data Science, and Operations across the globe to drive large-scale projects and align technical investments with business value.
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