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Generative Design Jobs in California (NOW HIRING)

AI/ML Engineer

San Francisco, CA ยท On-site

$150K - $250K/yr

From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve. You'll collaborate closely with experts in ...

Generative AI Lead

Pleasanton, CA ยท On-site

$185K/yr

Lead the design and delivery of Generative AI solutions across product lines * Evaluate and select appropriate foundation models (GPT-4, Claude, Gemini, Llama, etc.) for enterprise use cases

You're not displacing competitors - you're defining a new market in generative manufacturing design. Every major aerospace, automotive, defense, and industrial manufacturer represents greenfield ...

Gen AI Graphic Designer

Menlo Park, CA ยท On-site

$70 - $90/hr

ABOUT THIS ROLE The ideal candidate will blend strong foundational design principles with an expert command of generative AI technologies to produce cutting-edge visual experiences. You should be ...

Mechanical Engineer Intern

San Francisco, CA ยท On-site

$22 - $29.75/hr

Experience with FEA, topology optimization, or generative design * Exposure to machining, tolerancing, or manufacturing workflows * Familiarity with electronics, motors, or control systems * Interest ...

Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data * Develop models that improve robot perception, world ...

Helix AI Engineer, Generative AI

San Jose, CA ยท On-site

$200K - $400K/yr

Design, train, and deploy large-scale generative models, with a focus on diffusion-based approaches for vision, video, and multimodal data * Develop models that improve robot perception, world ...

Showing results 41-60

Generative Design information

See California salary details

$13

$27

$43

How much do generative design jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for generative design in California is $27.62, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $31.30 per hour, depending on experience, location, and employer.

What is generative design?

A Generative Design job involves using AI-powered algorithms and computational design techniques to create, optimize, and refine design solutions. Professionals in this role work with software tools like Autodesk Generative Design, Grasshopper, or custom AI models to explore multiple design possibilities based on constraints and goals. These roles are common in industries like architecture, product design, aerospace, and engineering, where efficiency, performance, and innovation are key. Skills typically include computational design, programming, machine learning, and CAD proficiency.

What does a generative design professional do?

Professionals in Generative Design typically spend their days creating, testing, and refining digital models that optimize key design objectives, such as cost, performance, or material usage. They collaborate closely with engineers, designers, and manufacturing teams to translate conceptual ideas into practical design solutions using advanced software and algorithms. Daily tasks may also include analyzing simulation data, presenting findings to stakeholders, and iterating on designs based on project feedback. The work environment is fast-paced and highly collaborative, offering opportunities to work on cutting-edge projects and continually develop technical skills.

What skills and qualifications are needed for generative design?

To thrive in a Generative Design role, you need strong proficiency in computational design principles, 3D modeling, and a background in fields such as architecture, engineering, or industrial design. Familiarity with tools like Autodesk Fusion 360, Grasshopper for Rhino, and programming languages such as Python is typically required, alongside relevant certifications or project experience. Creative problem-solving, collaboration, and effective communication are essential soft skills that help bridge the gap between technical possibilities and design goals. These skills ensure innovative, efficient, and feasible solutions in projects that integrate technology and design for optimal results.

What are the most commonly searched types of Generative Design jobs in California? The most popular types of Generative Design jobs in California are:
What are popular job titles related to Generative Design jobs in California? For Generative Design jobs in California, the most frequently searched job titles are:
Infographic showing various Generative Design job openings in California as of July 2026, with employment types broken down into 84% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $57,457 per year, or $27.6 per hour.

AI/ML Engineer

Clera

San Francisco, CA โ€ข On-site

$150K - $250K/yr

Full-time

Re-posted 15 days ago


Job description

About the Role

Join an early-stage, venture-backed AI startup reimagining computer-aided engineering (CAE) for the AI era. As an AI/ML Engineer, you'll shape the future of engineering automation by building AI that thinks like an engineer — designing, training, and deploying models that accelerate simulation, improve accuracy, and unlock entirely new ways of exploring the design space. From adaptive solvers and reduced-order modeling to generative design and real-time validation, your work will push the boundaries of what CAE can achieve.

You'll collaborate closely with experts in applied AI and mechanical engineering, integrating machine learning directly into high-fidelity simulation pipelines to help customers iterate faster, diagnose failures earlier, and bring better products to market. This is a rare opportunity to join early and make a foundational impact.

What You'll Do
  • Research, design, and develop AI/ML algorithms to tackle complex challenges in simulation, design automation, and computer-aided engineering.

  • Build scalable AI solutions and collaborate with cross-functional teams to integrate models seamlessly into existing CAE workflows and infrastructure.

  • Lead performance improvements — from optimizing model accuracy to analyzing outputs and addressing system-level bottlenecks.

  • Guide AI/ML projects from research through to production deployment.

  • Contribute to MLOps practices and help build robust, end-to-end AI/ML systems.

What We're Looking For

Required:

  • 4+ years of experience developing and deploying AI/ML models with a proven track record of delivering impact in applied engineering or scientific domains.

  • 2+ years of technical leadership guiding AI/ML projects from research to production.

  • Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow).

  • Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh data, or simulation outputs).

  • Familiarity with MLOps practices and building AI/ML systems end-to-end, from prototyping to scalable deployment.

  • Strong understanding of engineering principles in simulation, modeling, and optimization.

  • Bachelor's or advanced degree in Computer Science, Mechanical Engineering, Electrical Engineering, or a related field.

Nice to Have:

  • Experience with CAE, CAD, and/or PLM tools (e.g., Ansys, Abaqus, COMSOL, SolidWorks, NX).

  • Experience in a fast-paced startup environment.

Compensation & Benefits
  • Salary: $150,000 – $250,000 USD annually

  • Visa sponsorship available

Location

On-site in San Francisco, CA, United States. Candidates must be available to work from the San Francisco office.