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Science Fiction Jobs in California (NOW HIRING)

Nvidia

Senior Performance Engineer - DGX Cloud

Santa Clara, CA · On-site

$122K - $168K/yr

Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is ...

Nvidia

Senior Board Test Engineer

Santa Clara, CA

Our workopensnew universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.NVIDIA is looking ...

Nvidia

System Test Engineer

Santa Clara, CA

Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is ...

Nvidia

Senior Software Engineer, NCCL

Santa Clara, CA · On-site

$143K - $189K/yr

Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is ...

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Science Fiction information

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How much do science fiction jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for science fiction in California is $22.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $27.98 per hour, depending on experience, location, and employer.

What is a science fiction job?

A Science Fiction job typically involves creating, analyzing, or promoting content related to the science fiction genre. This can include writing novels, screenplays, or comics, as well as working in publishing, film production, or gaming. Some roles focus on research, critique, or academia, studying the genre’s impact and evolution. Others may work in design or special effects to bring futuristic concepts to life.

What are the key skills and qualifications needed to thrive in the science fiction position, and why are they important?

To thrive as a Science Fiction Writer, you need strong storytelling abilities, a deep understanding of speculative concepts, and proficiency in creative writing, often supported by a degree in English, Creative Writing, or a related field. Familiarity with word processing software, manuscript formatting tools, and publishing platforms is typical for this role. Imagination, persistence, and the ability to accept and integrate feedback are valuable soft skills for success. These qualities help Science Fiction Writers create compelling, original narratives that engage readers and meet industry standards.

What are some common challenges faced by science fiction writers and how can they overcome them?

Science fiction writers often face the challenge of balancing scientific accuracy with imaginative storytelling, ensuring their worlds are believable while still original and engaging. Another frequent difficulty is staying updated with rapidly evolving scientific and technological developments, which can impact the relevance of storylines. Successful writers overcome these challenges by conducting thorough research, networking with experts, attending writing workshops, and continually reading within and beyond the genre. Embracing constructive criticism and being open to revisions are also crucial for improving and refining their work.

What are the most commonly searched types of Science Fiction jobs in California?

The most popular types of Science Fiction jobs in California are:

What are popular job titles related to Science Fiction jobs in California?

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

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

The top searched job categories for Science Fiction jobs in California are:

Science Fiction jobs near you
Infographic showing various Science Fiction job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $46,361 per year, or $22.3 per hour.

Senior Deep Learning Computer Architect

Nvidia

Santa Clara, CA • Hybrid

Full-time

Re-posted 20 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are now looking for a Senior Deep Learning Computer Architect!NVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company.

What you'll be doing:

  • As a member of our deep learning architecture team, you will contribute to features that help next-generation GPUs advance the state of AI.

  • This position requires you to keep up with the latest DL research and collaborate with diverse teams (internal and external to NVIDIA), including DL researchers, hardware architects, and software engineers.

  • Your day to day work will include analyzing the behavior of various deep learning methods, proposing new features to accelerate or enable various methods, and studying the benefits of the proposed features.

What we need to see:

  • MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience.

  • 5+ years of relevant experience in at least a few of the following relevant areas is required in your work history:

    • Computer architecture, including GPU and system level architecture;

    • Performance analysis and optimization;

    • Experience with LLMworkloads, including performance tuning considerations such as parallelization and fusion strategies;`

    • Experience with core deep learning kernels such as matrix multiply, attention, and communication convolution

  • Programming fluency with C++ and ideally Python

  • Experience with GPU computing (CUDA)

  • Experience with deep learning frameworks like PyTorch

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time. The era of AI has begun. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

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.

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

Year founded

1993

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