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Accelerated Management Jobs in California (NOW HIRING)

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Accelerated Management information

What is the difference between Accelerated Management vs Project Coordinator?

AspectAccelerated ManagementProject Coordinator
Required credentialsBachelor's degree, management training programsBachelor's degree, often entry-level
Work environmentCorporate offices, fast-paced management settingsProject sites, office environments
Employer usageManagement training programs, leadership developmentProject planning, coordination tasks
Common search intentCareer advancement, management rolesProject execution, team coordination

Accelerated Management focuses on fast-tracking individuals into management roles through specialized training, while Project Coordinators support project execution and team coordination. Both roles require a bachelor's degree, but Accelerated Management emphasizes leadership development, making it suitable for those aiming for managerial positions quickly.

What is accelerated management?

Accelerated management is a training program or career development path designed to fast-track individuals into managerial roles by providing intensive leadership, strategic, and operational skills in a shorter timeframe than traditional management training. It often involves mentorship, project management experience, and certifications such as PMP or MBA coursework to prepare candidates for higher-level responsibilities quickly.

What cities in California are hiring for Accelerated Management jobs?

Cities in California with the most Accelerated Management job openings:

Accelerated Management jobs near you

Accelerated Computing GPU Product Manager

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$196K - $226K/yr

Full-time

Re-posted 2 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA has been redefining 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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

What you'll be doing:

NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.

  • Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference

  • Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals

  • Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning

  • Work with our sales organization to develop effective sales collateral and tools

What we need to see:

  • 7+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued

  • BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.

  • Demonstrated ability to fully contribute in one or more of the areas above within 3 months

  • Knowledge of, and capable of explaining GPU, software and computing architectures

  • Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs

  • Ability to work closely with cloud partners

Ways to stand out from the crowd:

  • Strong background in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference

  • Direct experience in building or leading cloud computing infrastructure and technologies

  • Exposure to bringing accelerated computing systems to market

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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