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Learning Execution Manager Jobs in California (NOW HIRING)

Nvidia

Manager, Deep Learning Algorithms

Santa Clara, CA · On-site

... manager to lead engineering activities related to productizing Deep Learning models. Academic and ... Plan, schedule, mentor, and lead the execution of projects and activities of the team. Including ...

IXL Learning

IXL Product Manager

San Mateo, CA · On-site

$130K - $180K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is ... Coordinate and drive execution; manage project schedules and work collaboratively across the ...

IXL Learning

IXL Product Manager

San Mateo, CA · On-site

$130K - $180K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is ... Coordinate and drive execution; manage project schedules and work collaboratively across the ...

Sandisk

Learning Operations Specialist

Milpitas, CA · On-site

$67K - $111K/yr

The Learning Operations Specialist is the operational and systems backbone of Sandisk's enterprise ... Organization & execution: proven ability to manage multiple priorities, track details, and keep ...

Sandisk

Learning Operations Specialist

Milpitas, CA · On-site

The Learning Operations Specialist is the operational and systems backbone of Sandisk's enterprise ... Organization & execution: proven ability to manage multiple priorities, track details, and keep ...

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Learning Execution Manager information

What is an L&D manager?

An L&D (Learning and Development) manager is responsible for overseeing employee training programs, developing learning strategies, and ensuring staff acquire necessary skills. They often coordinate with HR and use tools like Learning Management Systems (LMS) to deliver and track training initiatives.

Is being a BDM a stressful job?

Being a Business Development Manager (BDM) can be stressful due to targets, client management, and sales pressure. The role often requires strong communication, negotiation skills, and the ability to handle rejection, which can contribute to stress levels. However, workload and stress vary depending on the industry, company culture, and individual resilience.

What qualifications do I need to work in L&D?

A Learning & Development (L&D) professional typically needs a bachelor's degree in education, human resources, or a related field. Relevant skills include strong communication, instructional design, and familiarity with learning management systems (LMS). Certifications such as CPLP or ATD can enhance qualifications for advanced roles.

What is the difference between Learning Execution Manager vs Learning & Development Specialist?

AspectLearning Execution ManagerLearning & Development Specialist
CredentialsTypically requires a bachelor’s degree in education, HR, or related field; certifications like CPLP or ATD are commonSimilar credentials; often holds a bachelor’s degree and certifications in training or HR
Work EnvironmentLeads training programs, manages teams, and oversees execution across departmentsDesigns and delivers training sessions, focuses on content development and delivery
Employer & Industry UsageUsed in corporate training departments across various industriesCommon in HR and training departments within organizations

The Learning Execution Manager focuses on overseeing and managing the implementation of training programs, often leading teams and coordinating across departments. In contrast, the Learning & Development Specialist primarily designs and delivers training content. Both roles require similar credentials and are integral to corporate learning initiatives, but their responsibilities differ in scope and focus.

What jobs make $1,000,000 a year?

In the context of a Learning Execution Manager, high-earning roles often include executive positions such as Chief Learning Officer or Chief Executive Officer, which can reach or exceed $1 million annually with bonuses and stock options. Other top-tier roles in technology, finance, or consulting firms may also achieve this level of compensation, especially with extensive experience, advanced skills, and leadership responsibilities.
What are popular job titles related to Learning Execution Manager jobs in California? For Learning Execution Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Learning Execution Manager jobs in California look for? The top searched job categories for Learning Execution Manager jobs in California are:
What cities in California are hiring for Learning Execution Manager jobs? Cities in California with the most Learning Execution Manager job openings:
Learning Execution Manager jobs near you
Infographic showing various Learning Execution Manager job openings in California as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Manager, Deep Learning Algorithms

Manager, Deep Learning Algorithms

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 7 days ago

Job description

NVIDIA is seeking an engineering manager to lead engineering activities related to productizing Deep Learning models. Academic and commercial groups around the world are using GPUs to redefine Artificial Intelligence and data analytics, and to power data centers. Join the team building software which will be used by the entire world. Interact with the scientific community to implement and improve the latest algorithms. Ability to work in a multifaceted, product-centric environment is required and excellent interpersonal skills are also a requirement.

If you have a good understanding for deep learning and a strong algorithmic background, with exposure to large scale LLM/VLM deployment, inference optimization, and leadership experience, then this role may be a great one for you! In this role you will lead and mentor forward-thinking engineers and will own related activities and interactions with teams across NVIDIA. You will be working with key internal partners on priority alignment across relevant teams for roadmap development of highly optimized novel and state-of-the-art numerical, analytics, and deep learning algorithms and associated R&D duties. If the idea of pushing the boundaries of state-of-the-art research and development excites you, and are interested in getting exposure to the entire DL SW stack, come join the team that build the GPU-accelerated DL platform used by the entire world.

What you'll be doing:

  • Plan, schedule, mentor, and lead the execution of projects and activities of the team. Including creating, optimizing, and deploying inference DL workloads.

  • Collaborate with internal customers to align priorities across business units

  • Coordinate projects across different geographic locations

  • Grow and develop a world-class team

  • Travel to conferences, other sites, or visit customers occasionally

What we need to see:

  • Minimum requirement of BSc or equivalent experience

  • 8+ overall years related of overall experience, including 3 years of management/leadership experience

  • Experience leading multiple software engineering projects

  • Strong experience with Large Language Models (LLMs) and Large Visual-Language Models (VLMs)

  • Excellent programming, debugging, performance analysis, and test design skills

  • Great communication

Ways to stand out from the crowd:

  • Experience with inference of DL models

  • Experience doing performance analysis and tuning

  • Exposure to inference platforms such as TensorRT-LLM, vLLM, and SGLang

  • Project management tools (e.g. JIRA, Microsoft Project)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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