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Generalist Programmer Jobs in California (NOW HIRING)

Generalist Research Engineers work across our search and retrieval stack: crawling, parsing, ML performance, retrieval algorithms. The team is centered around improving end quality of search ...

Before Generalist, we pioneered large embodied multimodal models and vision-language-action models ... engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot ...

New

About the Role We're looking for a strong, generalist backend engineer to help build the platform behind our AI search products and infrastructure that already supports millions of queries a day. The ...

Generalist Marketer

San Francisco, CA · On-site

$100K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our docs platform serves 100 million+ developers every year and powers documentation for 20,000 ... We are looking to hire a generalist who is creative, curious, and content-driven and also wants to ...

HR Generalist

Dublin, CA · On-site

$79K - $105K/yr

  • Retirement

  • PTO

BKF is seeking an HR Generalist to partner with our dynamic Human Resources team in fostering a ... BKF Engineers provides equal employment opportunities to all employees and applicants for ...

New

HR Generalist

Pleasanton, CA · Hybrid

$79K - $105K/yr

  • Retirement

  • PTO

BKF is seeking an HR Generalist to partner with our dynamic Human Resources team in fostering a ... BKF Engineers provides equal employment opportunities to all employees and applicants for ...

HR Generalist

Pleasanton, CA · On-site

$79K - $105K/yr

  • Retirement

  • PTO

BKF is seeking an HR Generalist to partner with our dynamic Human Resources team in fostering a ... BKF Engineers provides equal employment opportunities to all employees and applicants for ...

Member of Technical Staff - Voice Product

Palo Alto, CA · On-site

$180K - $440K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong generalist engineer with backend focus. * Hands-on experience shipping features on iOS and/or Android. * The ability to work across all product groups and do whatever it takes for best user ...

About the Role Generalist trains very large robot foundation models. This requires utilizing very large numbers of the latest generation GPU hardware and infrastructure (currently Nvidia) to run ...

New

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... As a People Operations Generalist, you will have a front row seat and a direct impact on the next ...

Showing results 21-40

Generalist Programmer information

See California salary details

$30.6K

$90.3K

$125.8K

How much do generalist programmer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for generalist programmer in California is $90,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,400.00 and $125,300.00 per year, depending on experience, location, and employer.

What does a generalist programmer do?

A Generalist Programmer is a versatile developer who works across multiple areas of software development rather than specializing in one specific domain. They typically write and maintain code for various systems, from game engines and tools to UI and backend services. Their adaptability allows them to contribute to different aspects of a project, making them valuable in fast-paced or small-team environments.

What are the key skills and qualifications needed to thrive as a generalist programmer?

To thrive as a Generalist Programmer, you need strong foundational programming skills across multiple languages, problem-solving abilities, and a solid understanding of software development principles, typically backed by a relevant degree or professional experience. Familiarity with commonly used tools such as version control systems (e.g., Git), integrated development environments (IDEs), and knowledge of both front-end and back-end technologies is highly beneficial. Excellent communication, adaptability, and a collaborative approach help Generalist Programmers integrate effectively within diverse teams and projects. These skills and qualities enable flexibility in troubleshooting various issues and contributing to multiple facets of software initiatives, making you a valuable asset to any organization.

What types of projects or tasks might a generalist programmer work on within a typical company?

Generalist Programmers are often tasked with a wide range of projects, from developing new software features and fixing bugs to integrating third-party APIs and updating legacy systems. You may work on both front-end and back-end tasks, depending on the current needs of the organization, and often collaborate closely with designers, product managers, and other specialists. The variety in responsibilities means that each day can present new learning opportunities, making this role ideal for those who enjoy continuous growth. Working as a Generalist Programmer often requires flexibility and a proactive approach to problem solving, as you'll need to address technical challenges as they arise across different systems.

What are popular job titles related to Generalist Programmer jobs in California?

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

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

The top searched job categories for Generalist Programmer jobs in California are:

Infographic showing various Generalist Programmer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $90,264 per year, or $43.4 per hour.

Software Engineer: ML Infra

Generalist AI, Inc

San Mateo, CA • On-site

$200K - $350K/yr

Full-time

Re-posted 15 days ago


Job description

About the Role
Generalist trains very large robot foundation models. This requires utilizing very large numbers of the latest generation GPU hardware and infrastructure (currently Nvidia) to run distributed training jobs and researcher experiments. We have extreme requirements on storage and data loading infrastructure that requires maximizing cloud infrastructure and custom solutions.
You will also own inference infrastructure. For our robots this is a fleet of on-prem GPUs attached to robots that have extreme real-time and latency budgets in compute constrained environments.
You'll be responsible for:
  • Owning our GPU compute fleets
  • Ensure our GPUs are easy for researchers to use and maximally utilized
  • Optimizing and improving ML data loading transport and storage in highly distributed fully utilized environments.
  • Orchestration of robot inference fleets

You might thrive in this role if you:
  • Have managed large fleets of GPUs doing large-scale, long-term, highly distributed training runs or inference
  • Deep experience in Slurm or Kubernetes for ML workload orchestration
  • Have build high-scale ML data loaders and preparation systems
  • Deeply understand every layer of the ML hardware, storage, and networking stacks
  • Have experience in the NVidia GPU ecosystem
About Generalist
At Generalist, we are on a mission to make general-purpose robots a reality. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2, Gemini Robotics), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas, Spot, Stretch) and pushed the limits of what they can do (from parkour to manipulation, and testing robustness).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.