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Computational Design Jobs in California (NOW HIRING)

WATG

Computational Designer

Tustin, CA · On-site +1

$75K - $110K/yr

Our approach to design applies a hospitality ethos to the development of all shapes and sizes. From ... ROLE The Computational Designer possesses a high level of interest in data-driven approaches to ...

WATG

Computational Designer

Los Angeles, CA · On-site +1

$75K - $110K/yr

Our approach to design applies a hospitality ethos to the development of all shapes and sizes. From ... ROLE The Computational Designer possesses a high level of interest in data-driven approaches to ...

Atomic Machines

AI CAD Engineer

Emeryville, CA · On-site +1

You will join a tight cross-functional team dedicated to pushing the limits of micro-manufacturing and computational design. This position is onsite in our Emeryville, CA office, with openness to an ...

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$40

$54

$73

How much do computational design jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for computational design in California is $54.21, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $72.60 per hour, depending on experience, location, and employer.

Is Computational Design an in demand career?

Computational Design is a growing field with increasing demand in architecture, engineering, and product development sectors, driven by advancements in digital tools like parametric modeling and scripting. Professionals skilled in programming, CAD software, and algorithmic thinking are sought after for innovative design solutions. Job opportunities are expanding as industries adopt computational methods for efficiency and creativity.

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

To thrive in Computational Design, a strong background in mathematics, programming, and design principles is essential, often supported by a degree in architecture, engineering, computer science, or a related field. Proficiency in software tools such as Rhino, Grasshopper, Python, MATLAB, and CAD platforms is typically required, along with relevant certifications in parametric or generative design if available. Strong problem-solving skills, creative thinking, and the ability to collaborate across multidisciplinary teams help candidates excel in this position. Mastery of these skills enables the creation of innovative, efficient solutions for complex design challenges and facilitates effective teamwork within fast-moving project environments.

What does a typical day look like for someone working in Computational Design?

A typical day in Computational Design involves using specialized software to develop, test, and refine design algorithms that solve spatial or structural problems. You might collaborate with architects, engineers, or product designers to create digital prototypes, analyze performance data, and implement feedback for iterative improvement. Much of the work is project-based and requires frequent teamwork and meetings to align goals and ensure smooth integration of computational solutions into larger projects. Expect a dynamic environment where problem-solving and creativity are highly valued, and learning opportunities are ongoing as you stay up-to-date with new tools and methods.

What is a computational designer?

A computational designer is a professional who uses computational tools, algorithms, and programming to develop innovative design solutions, often in architecture, engineering, or product design. They typically work with software like Rhino, Grasshopper, or Python to automate processes and explore complex forms and structures.

How much do computational designers make?

Computational designers in California typically earn between $70,000 and $120,000 annually, depending on experience, education, and industry sector. Salaries can vary based on skills in programming, parametric design tools, and project complexity.

How to become a computational designer?

To become a computational designer, typically a bachelor's degree in architecture, design, computer science, or a related field is required. Developing skills in programming languages such as Python or Rhino/Grasshopper, along with knowledge of algorithms and parametric modeling, is essential. Gaining experience through portfolio projects, internships, or certifications can also enhance job prospects.

What is a Computational Design job?

A Computational Design job involves using algorithms, programming, and digital tools to create and optimize designs across various disciplines such as architecture, engineering, and product design. Professionals in this field leverage parametric modeling, generative design, and automation to enhance efficiency and innovation. They often work with software like Grasshopper, Dynamo, Python, or machine learning frameworks to solve complex design challenges. This role blends creativity with technical expertise to develop smarter, data-driven design solutions.

What are the most commonly searched types of Computational Design jobs in California? The most popular types of Computational Design jobs in California are:
What are popular job titles related to Computational Design jobs in California? For Computational Design jobs in California, the most frequently searched job titles are:
What job categories do people searching Computational Design jobs in California look for? The top searched job categories for Computational Design jobs in California are:
What cities in California are hiring for Computational Design jobs? Cities in California with the most Computational Design job openings:
Computational Design jobs near you
Infographic showing various Computational Design job openings in California as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $112,753 per year, or $54.2 per hour.
Scientist, Computational Protein Design

Scientist, Computational Protein Design

Adimab

Mountain View, CA • On-site

$156K - $165K/yr

Full-time

Medical, Retirement

Posted 23 hours ago

Job description

Role: Scientist, Computational Protein Design
Adimab is the leading technology provider for therapeutic antibody drug discovery, focusing solely on our partnerships without pursuing an internal product pipeline. Since 2009, we have partnered with over 140 pharmaceutical and biotechnology companies, generating more than 650 therapeutic programs, of which more than 85 have entered clinical trials.
Role Overview
The role is on Adimab's computational biology team in Mountain View, CA. Data-driven approaches have been central to the development of the Adimab platform, and the team is actively utilizing and developing modern de novo protein design and generative AI methods to extend its capabilities. You will serve as the computational lead for protein design campaigns, embedded within a world-class team of modeling and wet-bench scientists, with direct access to Adimab's industry-leading experimental capabilities to drive the design-build-test cycle.
Responsibilities
  • Take end-to-end ownership of computational protein design campaigns - from design generation through wet-lab collaboration, analysis of experimental data, and optimization of the design-build-test cycle. Applications span de novo epitope-targeted IgG, VHH, and minibinder design, as well as protein solubilization and stabilization.
  • Partner with wet-lab teams to design experiments that generate custom training data for affinity, epitope, and specificity prediction models. Train and rigorously benchmark resulting models against internal and external baselines.
  • Build and maintain the computational infrastructure supporting both protein design campaigns and model development, including reproducible pipelines and integration of computational outputs with wet-lab data.
  • Track developments in computational protein design and ML; evaluate relevance to Adimab's platform and identify opportunities for integration.
  • Serve as a resource for wet-lab scientists on AI/ML capabilities and best practices, helping antibody and protein engineering teams apply computational design methods.

Needed Upon Hire
  • PhD in Biophysics, Biochemistry, Structural Biology, Computational Biology, or a related field.
  • 2-4 years of post-PhD experience specifically in computational protein or binder design.
  • Strong foundation in the analysis of structural and energetic factors driving protein-protein interactions.
  • Proficiency with structure prediction and generative design tools such as RFAntibody, BindCraft, and Protenix. Crystallography or cryo-EM experience is a plus.
  • Strong Python skills and experience building reproducible analysis and modeling pipelines.
  • Proven track record of publication or patent contribution in applied ML for proteins or computational design.
Pay Range: $156,800 - $165,760 base salary and eligibility for 15% bonus
Come join us!
Our integrated antibody discovery and engineering platform provides unprecedented speed from antigen to purified, full-length human IgGs with exquisite specificity and biophysical behavior. We offer fundamental advantages by delivering diverse panels of antibodies that meet the most demanding standards for affinity, epitope specificity, species cross-reactivity, and developability. We enable our partners to rapidly expand their biologics pipelines through a broad spectrum of technology access arrangements.
As a profitable privately-held biotech company, we take a long-term view on value creation and make substantial investments in technology development, research, and our people. We offer individually tailored compensation packages comprised of a competitive salary, meaningful equity, a 2:1 401(k) match, and comprehensive health care benefits.

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