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Computational Design Jobs in California (NOW HIRING)

Engineer/Applied Physicist

San Francisco, CA · On-site

$120K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Projects will require high degree of autonomy and breadth of skill across electrical, mechanical, and computational design, with a strong emphasis on first principles thinking and a desire to make ...

Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

  • Medical

Using computational and neuroimaging techniques, you will design and iterate on stimulus paradigms at scale in collaboration with our research team, and perform comprehensive analyses on collected ...

Bachelor's degree in architecture, Interior Design, Computational Design, or related field * Minimum of 5 years of progressive experience in BIM/3D modeling, and visualization tools * Proficiency ...

Bachelor's degree in architecture, Interior Design, Computational Design or related field * 5+ years of progressive experience in Rhino, Grasshopper, BIM/3D modeling, and visualization tools

Bachelor's degree in architecture, Interior Design, Computational Design, or related field * Minimum of 5 years of progressive experience in BIM/3D modeling, and visualization tools * Proficiency ...

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Description NewLimit is seeking a Computational Biologist to join our Predict team. In this role ... Collaborate with Write, Read, and Predict teams to support the design, execution, and ...

Design Engineer Golf

Carlsbad, CA · On-site

$70K - $91K/yr

Familiarity with computational design software (Rhino Grasshopper, nTop, Blender) * Working knowledge of Office software products (Excel, PowerPoint, etc) * Project management experience: Ability to ...

Showing results 21-40

Computational Design information

See California salary details

$40

$54

$73

How much do computational design jobs pay per hour?

As of Aug 15, 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.

What are the key skills and qualifications needed to thrive in computational design, 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.

Is computational design a good career?

Computational design is a growing field that combines design skills with programming and data analysis, often requiring knowledge of software like Rhino, Grasshopper, or Python. It offers opportunities in architecture, product design, and engineering, with a focus on innovation and problem-solving. Job prospects depend on industry demand, technical proficiency, and the ability to adapt to new tools and technologies.

What is a computational design?

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 cities in California are hiring for Computational Design jobs?

Cities in California with the most Computational Design job openings:

Infographic showing various Computational Design job openings in California as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, 2% Temporary, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $112,753 per year, or $54.2 per hour.

Senior AI Peptide and Protein Design Engineer

Ellison Institute, LLC

Los Angeles, CA • On-site

$160K - $213K/yr

Full-time

Re-posted 2 days ago


Job description

Job Title: Senior AI Peptide and Protein Design Engineer
Annual Base Salary: DOE, $160,000-$213,000 along with bonus eligibility and a comprehensive benefits package
Location: Los Angeles, CA
Our Mission
Formerly known as the Ellison Institute of Technology Los Angeles, the Ellison Medical Institute strives to spark innovation, leverage technology, and drive interdisciplinary, patient-centered research to continually enhance health, reimagine and redefine cancer care, and transform lives.
Established in 2016 as a medical research and development center, the Institute features innovation labs for artificial intelligence and molecular analytics and was among the first organizations to vertically integrate the interdisciplinary study and treatment of disease. We offer multifaceted programs, including a preventative medicine and cancer clinic, cross-disciplinary research laboratories, a health policy think-tank, and community outreach and educational programs.
Please visit emila.org for more details.
Job Summary
The Ellison Medical Institute is launching a strategic new initiative in de novo peptide and protein engineering to advance the design and delivery of next-generation therapeutics. This effort represents a deliberate expansion of the organization's capabilities and will establish a strong foundation in AI-driven peptide and protein engineering.
The successful candidate will play a central role in shaping core tools, workflows, and technical direction, while working closely with experts in peptide and protein design who are deeply engaged in the program. The Senior AI Peptide and Protein Design Engineer role offers the opportunity to influence the initiative from its inception with strong scientific partnership and institutional support. Candidates with strong peptide and protein design backgrounds are encouraged to apply.
Why You Should Join Us:
  • Build a Foundational Capability: Help establish and scale core AI-driven peptide and protein engineering capabilities from the ground up.
  • Translational Focus: Work on technologies designed to directly influence therapeutic discovery and development across multiple programs.
  • Cross-Functional Collaboration: Work in a highly integrated environment with physicians, computational scientists, peptide and protein characterization and experimental teams to translate designs from concept to therapeutic candidates.
  • High Ownership and Impact: Shape tools, workflows, and technical direction with visibility across research and leadership.
Job Accountabilities:
  • De Novo Design Pipelines: Develop, deploy, and continuously improve computational pipelines for de novo peptide and protein design, including property prediction using data-driven and modeling approaches. Define robust benchmarking, performance metrics, and validation strategies.
  • Peptide and Protein Design: Design and optimize novel peptide and protein therapeutics using sequence- and structure-based computational design methods, leveraging silico predictions to support lead identification and optimization.
  • Design-Build-Test Cycles: Work directly with the peptide and protein production and characterization teams to experimentally test designs, interpret results, and incorporate feedback into iterative design cycles.
  • Cross-Functional Integration: Collaborate with target biology and translational research teams to evaluate designs in biological context and support progression from concept to optimized lead candidates.
  • Mentorship: Mentoring junior scientists or contributing to hiring and team growth.
  • Documentation & Communication: Maintain clear, reproducible documentation of methodologies, code, and results. Communicate findings effectively to scientific and leadership stakeholders.
  • Culture & Leadership: Contribute to a high-performing scientific culture that values rigor, innovation, transparency, collaboration, accountability, and efficient execution.
ADDITIONAL INFORMATION
  • Required Education: Ph.D. in Computational Peptide/Protein Design, Structural Biology, Protein Engineering, or a closely related field.
  • Required Experience:
    • Postdoctoral or industry experience applying computational modeling to peptide or protein engineering, and a strong publication record or proven track record contributing to therapeutic development.
    • 5+ years of hands-on experience in peptide and protein design, modeling, and sequence/structure-function prediction, with proficiency in relevant. macromolecular modeling software (i.e. AlphaFold, RoseTTAFold, RFdiffusion, RFpeptides, Boltz, ProteinMPNN).
    • Demonstrated understanding of peptide and protein biology, including structure, folding, stability, and experimental constraints, gained through direct experimental work and/or close collaboration with wet-lab teams.
    • Strong analytical and problem-solving skills applied to complex biological and computational challenges.
    • Excellent teamwork, time management, documentation, and communication skills
    • Proven ability to work effectively in interdisciplinary, cross-functional research environments.
For the safety and health of employees, guests, and patients, the Ellison Medical Institute may mandate vaccination requirements for employment. The Ellison Medical Institute's policies are always subject to review and change to ensure they are appropriate under the circumstances.
The Ellison Medical Institute is an equal opportunity employer. We believe that an inclusive, collaborative team environment is just as important to our mission as stethoscopes and microscopes. We strive to always provide employees a supportive atmosphere, so they feel confident taking creative risks toward innovation. The Ellison Medical Institute values emotional intelligence and communication with empathy and respect for others. We seek to build a diverse group of people who are curious, have a deep sense of responsibility, and the grit needed to achieve excellence.