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Manager Unique Learning System Jobs in California

The Learning Operations Specialist is the operational and systems backbone of Sandisk's enterprise ... system * Familiarity with intake process design, knowledge-base management, feedback loops, and ...

The Learning Operations Specialist is the operational and systems backbone of Sandisk's enterprise ... system * Familiarity with intake process design, knowledge-base management, feedback loops, and ...

The Learning Operations Specialist is the operational and systems backbone of Sandisk's enterprise ... system * Familiarity with intake process design, knowledge-base management, feedback loops, and ...

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Manager Unique Learning System information

What is the difference between Manager Unique Learning System vs Learning and Development Manager?

AspectManager Unique Learning SystemLearning and Development Manager
CredentialsTypically requires certifications in e-learning, instructional design, or LMS managementRequires HR, training, or instructional design certifications
Work EnvironmentFocuses on managing specific learning platforms and digital contentOversees broader training programs across departments
Industry UsageCommon in education, corporate training, and e-learning companiesWidely used in corporate, nonprofit, and government sectors
Primary FocusManaging the Unique Learning System platform and digital contentDesigning and implementing employee training and development programs

The Manager Unique Learning System primarily manages the specific learning platform and digital content, while the Learning and Development Manager oversees broader training initiatives across organizations. Both roles require related certifications and are integral to employee education, but their scope and focus differ significantly.

What are the most commonly searched types of Unique Learning System jobs in California?

The most popular types of Unique Learning System jobs in California are:

What are popular job titles related to Manager Unique Learning System jobs in California?

For Manager Unique Learning System jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Unique Learning System jobs in California look for?

The top searched job categories for Manager Unique Learning System jobs in California are:

What cities in California are hiring for Manager Unique Learning System jobs?

Cities in California with the most Manager Unique Learning System job openings:

Machine Learning System Software Engineer

Socket.dev

Sunnyvale, CA • On-site

$180 - $260/hr

Other

Posted 19 days ago


Job description

At Apple, we're on the cutting edge of delivering transformative experiences through Artificial Intelligence. If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning System Software Engineer on the Apple Neural Engine (ANE) team, you'll work to bring high-performance, low-power AI solutions to life on iconic Apple products like the Vision Pro, iPhone, iPad, Mac, and more.

Description

This is a dynamic opportunity to work in a creative, collaborative environment while developing groundbreaking technologies that will shape the future of computing! We are looking for an engineer with deep expertise in system software technology who is eager to tackle new challenges and responsibilities as the role evolves. As the position progresses, there will be opportunities to demonstrate technical leadership, influence key design decisions, collaborate with and support other engineers, and help guide the direction of Apple's AI-driven capabilities across the ecosystem. Are you ready to help us deliver the next groundbreaking Apple products?

Minimum Qualifications
  • Experience defining interfaces that are used by other teams or external developers, with attention to lifecycle, error handling, and forward compatibility
  • Deep proficiency in C, C++, Swift or Objective-C with experience in large, production system software
  • Understanding of runtime systems: process/thread models, memory management, IPC/RPC, and resource lifecycle
  • Understanding of software-hardware interfaces: registers, DMA, command queues, or similar accelerator interaction patterns
  • 3+ years shipping production system software; Bachelor's in CS, CE, or related field
Preferred Qualifications
  • Experience building or extending ML runtimes, inference engines, or accelerator driver stacks (e.g., TensorRT, ONNX Runtime, XLA, Metal, Vulkan compute, or similar)
  • Familiarity with ML model compilation pipelines and how runtime APIs interact with compiler outputs (graph IR, compiled binaries)
  • Experience with multi-client runtime scenarios: arbitrating hardware access, managing priority/QoS, and handling client lifecycle (ex: connect, disconnect, crash recovery)
  • Knowledge of neural network inference: operator execution, tensor memory layout, pipelining, and batching strategies
  • Strong communication skills and experience working across team boundaries (framework teams, compiler teams, hardware teams)
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