Cloud Engineer Jobs in Cupertino
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Search Results - Cloud Engineer Jobs in Cupertino
Apple Inc.Cupertinoappcast.io
Apple Inc. in Cupertino, CA seeks a Systems Engineer to own key pieces of the Reference Image architecture, spanning sensor-level signing, on-device RAW capture pipelines, and cloud-based PCC development.
This role requires thoughtful cross-stack...
US BankCupertino
engineering, and AI orchestration frameworks
• Experience with AI/ML platforms, MLOps, model lifecycle management, or AI governance
• Experience building reusable AI frameworks, accelerators, developer tools, or enterprise integrations
• Experience with cloud...
AI PulseCupertinoappcast.io
Apple seeks a Distinguished Engineer to provide technical leadership in building and evolving next-generation AI infrastructure. You will shape architecture and strategy for large-scale training and inference systems, spanning multi-cloud...
US BankCupertino
experience (Claude Code, Generative AI, LLMs)
• Cloud platforms experience (AWS and/or Microsoft Azure)
• Strong data modeling, data engineering, ETL/ELT, and analytics capabilities
• Deep understanding of distributed systems, scalable architectures, and high...
Hewlett Packard EnterpriseCupertinoappcast.io
Director Software Engineering (Cloud Security)
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
Location and Employment Type
Location: USA Employment Type: Full-time...
AmazonCupertino
Overview
As a Software Engineer in the AWS Neuron Compiler team, you design and implement compiler improvements to accelerate ML workloads on AWS Inferentia and Trainium. You work with chip architects, runtime engineers, and ML teams to deploy...
Apple Inc.Cupertinoappcast.io
Apple Inc. in Cupertino seeks a Senior Engineering Manager to lead Platform Automation within ADP Managed Services.
You will own strategy and execution for a multi-cloud infrastructure automation platform that enables repeatable deployments across...
AmazonCupertino
Overview
As a Principal Engineer on the AWS Neuron/Annapurna Labs team, you lead the hardest AI model performance challenges across pre-training, post-training, and inference on Trainium. You will deeply optimize kernels, algorithms, and the end...
Apple Inc.Cupertinoappcast.io
Apple Inc. in Cupertino, CA is seeking a Systems Engineer to own critical pieces of the Reference Image architecture, spanning sensor signing, RAW capture pipelines, and PCC cloud processing. You will collaborate across hardware, software, cloud...
AmazonCupertino
Overview
In this role you drive verification and validation of hardware-software solutions for cloud-scale ML and FPGA acceleration. You will work with a cross-functional team to ensure the hardware and software deliver high performance at scale...
AmazonCupertinoamazon.jobs
We are seeking an experienced engineer to work on distributed AI/ML systems. This role involves working on collective operations - the fundamental operations that enable AI to scale across multiple accelerators & servers. Most of our stack is C/C+...
AmazonCupertinoamazon.jobs
Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips...
AmazonCupertinoamazon.jobs
Do you like to use network and Unix systems engineering to deliver simple, sustainable, and repeatable solutions? Would you like to play a key role in driving the stability and sustainability of next-generation IP networks?
AWS Infrastructure...
Senior System Development Engineer - AWS Networking System Test, Release Engineering and System Test
AmazonCupertinoamazon.jobs
and at home, there’s nothing we can’t achieve in the cloud.- Experience in networking, storage systems, operating systems and hands-on systems engineering
• Experience building tools for building, testing, releasing or monitoring
• Experience with Linux/Unix...
AmazonCupertinoamazon.jobs
the world's largest models can serve real users. That network layer is what our team builds.
We're looking for an engineer to work at the frontier of disaggregated inference: splitting LLM serving into separate prefill and decode pools and moving the model's...
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