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Associate Ai Infrastructure Engineer Jobs in California

Sr. Cloud AI Infrastructure Engineer

Palo Alto, CA

$151K - $283K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... infrastructure. Who We Look For 1.Education: Master's or Ph.D. degree in Computer Engineering ... Expertise in GPGPU architectures or other mainstream AI accelerator architectures . 3.Programming ...

Sr/Staff AI Infrastructure Engineer

San Jose, CA · On-site

$163K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with engineering teams to understand real-world constraints and to support the high-quality ... AI extension/application/project * Experience with cloud infrastructure and training (Azure, AWS ...

Sr/Staff AI Infrastructure Engineer

San Jose, CA

$163K - $212K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Partner with engineering teams to understand real-world constraints and to support the high-quality ... AI extension/application/project * Experience with cloud infrastructure and training (Azure, AWS ...

Company Overview Ghost is an AI-native inventory distribution platform and operating system for ... About the Role We're looking for an Infrastructure Engineer who loves building reliable, scalable ...

Infrastructure Engineer

Los Angeles, CA · On-site

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Company Overview Ghost is an AI-native inventory distribution platform and operating system for ... About the Role We're looking for an Infrastructure Engineer who loves building reliable, scalable ...

Infrastructure Engineer

Los Angeles, CA

$140K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Company Overview Ghost is an AI-native inventory distribution platform and operating system for ... About the Role We're looking for an Infrastructure Engineer who loves building reliable, scalable ...

Infrastructure Engineer

Glendale, CA · On-site

$130K - $175K/yr

  • Medical

  • Dental

  • Vision

  • PTO

With regulatory expertise and transparent, human-in-the-loop AI at its core, Reveleer supports ... Azure Administrator Associate, MCSE, or equivalent certification. WHAT YOU'LL RECEIVE: Competitive ...

Infrastructure Engineer

Glendale, CA · Hybrid

$130K - $175K/yr

  • Medical

  • Dental

  • Vision

  • PTO

With regulatory expertise and transparent, human-in-the-loop AI at its core, Reveleer supports ... Azure Administrator Associate, MCSE, or equivalent certification. WHAT YOU'LL RECEIVE: Competitive ...

AI Infrastructure Security Engineer

San Francisco, CA · On-site +1

$168K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As our Security Engineer, Infrastructure, you'll secure the platform layer end-to-end including cloud infrastructure, Kubernetes, identity, networking, and the systems that AI runs on. This is a ...

Sr. Director, AI Infrastructure

Mountain View, CA · On-site

$184 - $376/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sr. Director Back-end Engineering - AI Infrastructure Orchestration Role Overview * Define and execute the long‑term vision and roadmap for the company's AI infrastructure orchestration layer ...

Sr. Director, AI Infrastructure

Mountain View, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sr. Director Back-end Engineering - AI Infrastructure Orchestration Company Introduction We exist to wow our customers. We know we're doing the right thing when we hear our customers say, "How did we ...

AI Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. The role involves rotating across various aspects of AI infrastructure, working on real ...

Showing results 41-60

Associate Ai Infrastructure Engineer information

What is the difference between Associate Ai Infrastructure Engineer vs Data Engineer?

AspectAssociate Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, Engineering, or related field; familiarity with cloud platformsBachelor's in CS, Data Science, or related; strong programming skills
Work EnvironmentAI/ML teams, cloud environments, infrastructure setupData pipelines, database management, data processing systems
Employer & Industry UsageTech companies, AI startups, cloud service providersTech firms, finance, healthcare, data-driven industries

Associate Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate, but their core responsibilities differ in infrastructure versus data processing.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in California?

The most popular types of Ai Infrastructure Engineer jobs in California are:

What are popular job titles related to Associate Ai Infrastructure Engineer jobs in California?

For Associate Ai Infrastructure Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Associate Ai Infrastructure Engineer jobs in California look for?

The top searched job categories for Associate Ai Infrastructure Engineer jobs in California are:

What cities in California are hiring for Associate Ai Infrastructure Engineer jobs?

Cities in California with the most Associate Ai Infrastructure Engineer job openings:

Infographic showing various Associate Ai Infrastructure Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Sr. Cloud AI Infrastructure Engineer

Tencent America, LLC

Palo Alto, CA • On-site

$151K - $283K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Business Unit
Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses.
What the Role Entails
1.Architecture Research: Conduct in-depth research into the underlying hardware logic of various AI accelerators; evaluate the power-efficiency ratio and suitability of different heterogeneous architectures in the context of Large Language Model (LLM) inference and training.
2.Operator & Performance Optimization: Design and optimize high-performance operator libraries for large-scale cloud computing environments; resolve long-tail latency issues in hardware scheduling, memory management, and distributed communication.
3.Interconnect Architecture Definition: Define the interconnect architecture ; drive the virtualization, standardized access, and efficient pooling of heterogeneous computing resources in the cloud.
4.Technology Trend Analysis: Monitor global trends in semiconductors and accelerators; perform feasibility studies and experimental validation for the implementation of emerging technologies within cloud infrastructure.
Who We Look For
1.Education: Master's or Ph.D. degree in Computer Engineering, Electronic Engineering, Microelectronics, or a related field.
2.Core Expertise: Expertise in GPGPU architectures or other mainstream AI accelerator architectures.
3.Programming & Frameworks: Proficient in parallel computing frameworks; deep understanding of low-level operator development languages (e.g., CUDA, Triton).
4.Network & Distributed Systems: Solid understanding of large-scale distributed systems, cluster topologies (e.g., Fat-tree, Torus), and high-performance network protocols.
5.Industry Insight: Familiar with the architectural evolution of global leading computing enterprises; ability to objectively analyze the technical pros/cons and engineering challenges of different architectural paths.
6.Experience: Experience in the application, optimization, or architectural design of ultra-large-scale accelerator clusters is preferred.
7.Framework Optimization: Experience in the low-level adaptation and performance tuning of mainstream deep learning frameworks (e.g., PyTorch, TensorFlow) is preferred.
Location State(s)
US-California-Palo Alto
The expected base pay range for this position in the location(s) listed above is $151,300.00 to $283,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience.Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis.Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year.Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.
Equal Employment Opportunity at Tencent
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.