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Science Fiction Jobs in California (NOW HIRING)

Senior Architect, Data Center Modeling

Santa Clara, CA · On-site

$79 - $105.75/hr

Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design ...

Senior Architect, Data Center Modeling

Santa Clara, CA · On-site

$79 - $105.75/hr

Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design ...

That sounds a little like science fiction, which is part of why we think it is worth doing. But it is also a very practical engineering and research problem. The role We are hiring a Research ...

Background in computer architecture Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every ...

... longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your ...

Showing results 21-40

Science Fiction information

See California salary details

$11

$22

$33

How much do science fiction jobs pay per hour?

As of Sep 4, 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 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 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 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:

Infographic showing various Science Fiction job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $46,361 per year, or $22.3 per hour.

Senior Deep Learning Performance Architect

Nvidia

Santa Clara, CA • On-site

$196K/yr

Full-time

Re-posted 23 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

We are now looking for a Senior Deep Learning Performance Architect. NVIDIA is seeking outstanding Performance Analysis Architects to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications. What you'll be doing: Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability.

Benchmark and analyze AI workloads in single and multi-node configurations. Develop high level simulator and analysis tools in C++/Python. Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.

Work closely with peer architecture teams and product management to guide development of the products. Keep abreast with emerging trends and research in deep learning. What we need to see: MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.

4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications. Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference. Strong programming skills in Python and C++.

Ways to stand out from the crowd: Solid fundamental knowledge in computer architecture and interconnect fabrics. Understanding of modern transformer-based model architectures. Ability to simplify and communicate rich technical concepts to non-technical audience.

Have a curious demeanor with excellent problem-solving skills. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems.

NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as "the AI computing company", NVIDIA wants you. Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field.

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


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