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Day Shift Ai Game Developer Jobs in San Ramon, CA

Data Creator

San Jose, CA · On-site

$33/hr

This is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of ... Day Shift - 6:30 am - 3 pm Swing Shift - 2:30 pm - 11 pm Night Shift - 10:30 pm - 7 am ...

AI/ML Engineering Manager

Milpitas, CA · On-site

$170K - $210K/yr

As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical ... CRSR), founded in 1994, is a leading global developer and manufacturer of high-performance gaming ...

AI/ML Engineering Manager

Milpitas, CA · On-site

$170K - $210K/yr

As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical ... CRSR), founded in 1994, is a leading global developer and manufacturer of high-performance gaming ...

AI Developer

San Francisco, CA · On-site

$130 - $160/hr

... office regularly at least 3 days/week, as part of our hybrid team. Bonus Points * Clear ... developer productivity and rapid AI pipeline development in the emerging world of agentic AI. If ...

... game industry. A World-Class Team: You'll work directly with some of the best AI researchers and engineers in the world in a small, mighty, and fast-paced team. Unparalleled Resources: You will have ...

... office regularly at least 3 days/week, as part of our hybrid team. Bonus Points * Clear ... developer productivity and rapid AI pipeline development in the emerging world of agentic AI. If ...

... every platform shift. AI & Innovation * Lead the next wave of AI‑powered DevOps capabilities ... What We Expect in the First 12 Months First 90 Days: Learn and Diagnose * Achieve deep fluency in ...

Showing results 41-60

Day Shift Ai Game Developer information

See San Ramon, CA salary details

$36.3K

$121.2K

$201.2K

How much do day shift ai game developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for day shift ai game developer in San Ramon, CA is $121,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,100.00 and $138,600.00 per year, depending on experience, location, and employer.

What is the difference between Day Shift Ai Game Developer vs Day Shift Game Programmer?

AspectDay Shift Ai Game DeveloperDay Shift Game Programmer
Primary FocusDeveloping AI systems and algorithms for gamesWriting and implementing game code, mechanics, and features
Required SkillsAI programming, machine learning, game design principlesProgramming languages (C++, C#), game engines (Unity, Unreal)
Work EnvironmentCollaborative teams with designers and AI specialistsDevelopment teams focused on coding and gameplay implementation
Industry UsageUsed in studios focusing on advanced AI featuresCommon across all game development companies

The main difference between a Day Shift Ai Game Developer and a Day Shift Game Programmer lies in their focus areas. The AI Game Developer specializes in creating intelligent systems within games, requiring expertise in AI and machine learning. In contrast, the Game Programmer handles overall coding, mechanics, and gameplay features. Both roles often work together but serve distinct functions within game development teams.

What are popular job titles related to Day Shift Ai Game Developer jobs in San Ramon, CA?

For Day Shift Ai Game Developer jobs in San Ramon, CA, the most frequently searched job titles are:

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The top searched job categories for Day Shift Ai Game Developer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Day Shift Ai Game Developer jobs?

Cities near San Ramon, CA with the most Day Shift Ai Game Developer job openings:

Lead Software Engineer - Generative AI

C3 AI

Redwood City, CA • On-site

Full-time

Re-posted 29 days ago


Job description

We are looking for a highly skilled and experienced lead software engineer experienced in the field of machine learning and artificial intelligence, and passionate about Generative AI technology and building next-generation software platforms.

As a member of C3 AI's Generative AI team, you will be tasked with developing the infrastructure and tools to improve the state-of-the-art and enable the use of this game changing technology in our enterprise applications. You'll collaborate with product managers, data scientists and other engineers and will be responsible for the entire software engineering lifecycle. A successful candidate will thrive in a fast-paced, innovative, and highly collaborative environment, and demonstrate an ability to execute precisely and quickly. The ideal candidate will have in-depth experience with putting large scale machine learning models in production and a solid understanding of Large Language Models (LLMs).

Responsibilities:

  • Work across teams to architect robust software engineering solutions and frameworks with cross product impact.
  • Implement and enhance engineering best practices company wide.
  • Build systems and tools to enable and simplify the use of Generative AI technologies in our applications using the C3 AI Platform.
  • Enable scalable end-to-end machine learning pipelines in a distributed system with heterogeneous hardware (GPUs, TPUs, etc.).
  • Work with data scientists to research and implement latest approaches to efficiently train/fine-tune Generative Models.
  • Work with product owners to define and lead the long-term development the C3 Generative AI Suite.
  • Lead cross-team technical design discussions on application architecture, UI components, UX, back-end and third-party integration, and testing.
  • Manage individual project deliverables and mentor junior team members on industry coding standards and design techniques.

Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or related fields, MS preferred.
  • 8+ years of professional software development experience in Python; experience with Java and JavaScript preferred.
  • Proven track record of design and development of full stack web solutions for complex problems.
  • Strong hands-on experience and understanding of data structures, algorithms, profiling/optimization, DRY code, and Object-Oriented and Functional Programming.
  • In-depth understanding of machine learning including deep learning algorithms.
  • Proven track record of applying machine learning algorithms in a production system.
  • Demonstrated end-to-end ownership of projects.
  • Excellent verbal and written communication skills to collaborate multi-functionally and improve scalability.
  • Demonstrated interest for Generative AI technology (e.g., projects with technologies like LangChain, Semantic Kernel, ChatGPT Plugins, etc.).

Preferred Qualifications:

  • Advanced degree in computer science, math, or similar quantitative field.
  • Knowledge of Agile development methodology.
  • Experience in leading engineering teams and projects.