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Rubin Jobs in California (NOW HIRING)

Open Inc.

Brand Designer (Contract)

Los Angeles, CA · On-site

We're backed by Founders Fund (Keith Rabois), Susa, LVMH (Miyuki Matsumoto), Coatue (Arielle Zuckerberg), Slow, SV Angel, Maveron, Jack Dorsey, Adrian Aoun, Ben Rubin (Houseparty), and more. The role ...

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Rubin information

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$11

$18

$24

How much do rubin jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for rubin in California is $18.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.62 per hour, depending on experience, location, and employer.

What is a rubin?

Rubin jobs typically refer to positions associated with the Vera C. Rubin Observatory, a major astronomical observatory currently under construction in Chile. These roles can include astronomers, data scientists, engineers, software developers, project managers, and support staff who contribute to the observatory's mission of conducting a 10-year Legacy Survey of Space and Time (LSST). Rubin jobs often involve working with cutting-edge technology, large datasets, and international collaborations to advance our understanding of the universe. Applicants are usually expected to have expertise in astronomy, physics, computer science, or related fields. The Rubin Observatory offers opportunities for both scientific research and technical development.

What are the key skills and qualifications needed to thrive as a Rubik's Cube Solver, and why are they important?

To thrive as a Rubik's Cube Solver, you need strong spatial reasoning, pattern recognition, and an understanding of cube notation and solving algorithms. Familiarity with timer apps, notation systems like CFOP or Roux, and participation in WCA competitions can also be beneficial. Patience, persistence, and problem-solving under pressure are valuable soft skills for excelling in this field. These abilities help solvers achieve faster times, adapt to new challenges, and compete successfully in speedcubing events.

What is the difference between Rubin vs Data Analyst?

AspectRubinData Analyst
Required CredentialsTypically a degree in statistics, data science, or related fieldUsually a degree in statistics, mathematics, or computer science
Work EnvironmentData-focused roles, often in research or analytics teamsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageUsed in research institutions, tech companies, and analytics firmsCommon across various industries including finance, marketing, and healthcare

Rubin and Data Analyst roles share similar educational backgrounds and work environments, focusing on data interpretation and analysis. However, Rubin often refers to a specific methodology or role within research contexts, while Data Analyst is a broader job title across multiple industries. Understanding these differences helps clarify career paths and job expectations.

What are popular job titles related to Rubin jobs in California?

For Rubin jobs in California, the most frequently searched job titles are:

What job categories do people searching Rubin jobs in California look for?

The top searched job categories for Rubin jobs in California are:

Rubin jobs near you
Infographic showing various Rubin job openings in California as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $38,456 per year, or $18.5 per hour.

Hardware Systems Application Engineer - CSP

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is seeking capable customer-facing hardware engineers to work directly with Cloud Scale Providers (CSP's) deploying next generation AI-centric Data Centers. The HW Systems Engineer is front-and-center in deploying next generation NVIDIA MGX platforms, such as Grace-Blackwell and Vera Rubin NVL72 racks, at our largest customers.
As AI continues to evolve into the era of reasoning, Data Centers focused solely on AI, known as AI Factories, are vital to scale compute and networking infrastructure needed for agentic AI processing. The CSP HW Systems Engineer is the central point of contact for the team of Applications Engineers deploying these AI Factories. The ideal candidate is proactive, customer friendly, and able to lead large cross-functional teams to debug highly complex problems. The CSP Systems Engineering team is deploying the latest generation racks, so close collaboration with architecture and NPI engineering teams is required.
What you'll be doing:
  • Collaborate with major cloud service providers (CSP), their OEM/ODM's, and internal teams to help deploy the latest NVIDIA Vera-Rubin AI rack's
  • Work with other domain expert teams at NVIDIA to ensure customer solutions are optimized for the highest performance servers in the world
  • Solve deep server system technical issues at the hardware, software and application level, ensuring customer success and time to market
  • Act as the central point of contact between CSP customers and NVIDIA architecture teams to develop future GPU-accelerated data center architectures and roadmaps
  • Excellent verbal, written communication, and technical presentation skills in English.
  • Up to 30% travel expected

What we need to see:
  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
  • 5+ years of proven experience in system-level design and integration of server products from concept to deployment.
  • Solid understanding of x86 server architecture, PCIe, DDR, Infiniband and high-speed interconnects
  • Basic understanding of BMC (Baseboard Management Controller) architecture, I2C (SMBus), power management and system telemetry controls
  • Familiarity with Linux OS and command line experience
  • Knowledge of the latest PCIe Gen5 and Gen6 technical interface challenges
  • Strong problem-solving and analytical skills as well as excellent communication and teamwork skills
  • Strong analytical, problem-solving, time-management, and organizational skills, with the ability to manage multiple complex initiatives in dynamic environments.

Ways to stand out from the crowd:
  • Self-motivated and eager to learn.
  • Can work under high pressure and dynamic environments.
  • In-depth understanding of CPU, GPU, Networking and architectural tradeoffs is a plus!
  • A desire to understand technology deeply.
  • Can communicate and explain clearly information relevant to your audience.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 27, 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.

What Nvidia employees say

Pay

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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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