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Generative Design Jobs (NOW HIRING)

KBR

Spacecraft CAD Design Lead

Greenbelt, MD

$154K - $230K/yr

Experience or familiarity with Generative Design practices and softwaresuch asnTopor equivalent. * Knowledge and experience with Engineering Change Order CAD and CM processes. Basic Compensation ...

KBR, Inc.

Spacecraft CAD Design Lead

Greenbelt, MD · On-site

$154K - $230K/yr

Experience or familiarity with Generative Design practices and software such as nTop or equivalent. * Knowledge and experience with Engineering Change Order CAD and CM processes. Basic Compensation ...

CookUnity

Executive Design Advisor

New York, NY

$250 - $300/wk

Diagnose where our design org can leapfrog in adopting AI-assisted workflows (Figma AI, generative design, prompt-to-design pipelines) and where the industry is heading, and build a credible ...

Hark

Product Design Engineer, FEA

San Jose, CA · On-site

$120K - $300K/yr

Experience with topology optimization or generative design methods to guide optimized structural design * Background in designing or validating components manufactured via injection molding ...

Hark

Product Design Engineer, FEA

San Jose, CA

$120K - $300K/yr

Experience with topology optimization or generative design methods to guide optimized structural design * Background in designing or validating components manufactured via injection molding ...

AvroKO

AI INTERIOR DESIGNER

New York, NY · On-site

$55K - $70K/yr

Lead the use and integration of AI-powered design tools--including generative design platforms, parametric modelling, image generation, and space-planning algorithms alongside traditional interior ...

AvroKO

AI INTERIOR DESIGNER

New York, NY

$55K - $70K/yr

Lead the use and integration of AI-powered design tools-including generative design platforms, parametric modelling, image generation, and space-planning algorithms alongside traditional interior ...

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Generative Design information

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How much do generative design jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for generative design in the United States is $27.99, according to ZipRecruiter salary data. Most workers in this role earn between $21.88 and $31.73 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.

More about Generative Design jobs
What are the most commonly searched types of Generative Design jobs? The most popular types of Generative Design jobs are:
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What job categories do people searching Generative Design jobs look for? The top searched job categories for Generative Design jobs are:
Generative Design jobs near you
Infographic showing various Generative Design job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $58,220 per year, or $28 per hour.

Scientist, Computational Protein Design

Adimab

Mountain View, CA • On-site

Full-time

Medical, Retirement

Re-posted 2 days 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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