

Sapear Inc
Generative AI (GenAI) Design Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI (GenAI) Design Engineer in Santa Clara, CA, on a contract basis for $65.00 - $70.00 per hour. Requires a Master's/Ph.D. in a relevant field, strong Python and ML skills, and experience with generative AI technologies.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
-
ποΈ - Date
December 6, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Santa Clara, CA
-
π§ - Skills detailed
#Cloud #Deployment #PyTorch #TensorFlow #BI (Business Intelligence) #Python #Automation #AI (Artificial Intelligence) #HBase #ML (Machine Learning)
Role description
Hello My name is Shubham Pal and I am a Staffing Specialist at Sapear Inc. I am reaching out to you on an exciting job opportunity with one of our clients.
Position : Generative AI (GenAI) Design Engineer (Contract)
Location : Santa Clara, CA (Day 1 Onsite)
Job Description :
We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI-powered solutions. This role involves designing, developing, and optimizing generative AI models and workflows for applications such as content creation, product design, and intelligent automation.
Develop forward surrogate models for CVD/ALD/etch chambers mapping geometry, gas chemistry, flow, temperature, and power to film-uniformity, step-coverage, particle behavior, and thermal outcomes.
Implement inverse-design workflows where target performance specifications generate feasible chamber geometries, showerhead/baffle designs, and process conditions via generative or adjoint/topology-optimization methods.
Build bi-directional models that infer optimal process parameters for a given geometry and recommend geometry modifications when process latitude is insufficient.
Create high-fidelity digital twins combining physics-based solvers (CFD, plasma, heat transfer) with learned surrogate components for rapid design-space exploration.
Develop robust multi-objective optimization and uncertainty-quantification workflows to ensure AI-generated designs are manufacturable, robust to variation, and compatible with downstream yield requirements.
Required Skills & Qualifications
Education: Masterβs or Ph.D. in Materials Science, Computational Engineering, AI/ML, or related field.
Technical Expertise:
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
Experience with generative AI (LLMs, diffusion models, graph-based models).
Knowledge of computational materials methods (DFT, MD, phase-field modeling).
Additional Skills:
Familiarity with MLOps, HPC environments, and cloud deployment.
Understanding of thermodynamics, crystallography, and mechanical properties of materials.
--Thanks and Regards,Shubham PalLead Business Development ManagerSapear Inc.Email : shubham.p@Sapear.comCell : +1 (346)-770-0771
Job Type: Contract
Pay: $65.00 - $70.00 per hour
Expected hours: 8 per week
Work Location: On the road
Hello My name is Shubham Pal and I am a Staffing Specialist at Sapear Inc. I am reaching out to you on an exciting job opportunity with one of our clients.
Position : Generative AI (GenAI) Design Engineer (Contract)
Location : Santa Clara, CA (Day 1 Onsite)
Job Description :
We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI-powered solutions. This role involves designing, developing, and optimizing generative AI models and workflows for applications such as content creation, product design, and intelligent automation.
Develop forward surrogate models for CVD/ALD/etch chambers mapping geometry, gas chemistry, flow, temperature, and power to film-uniformity, step-coverage, particle behavior, and thermal outcomes.
Implement inverse-design workflows where target performance specifications generate feasible chamber geometries, showerhead/baffle designs, and process conditions via generative or adjoint/topology-optimization methods.
Build bi-directional models that infer optimal process parameters for a given geometry and recommend geometry modifications when process latitude is insufficient.
Create high-fidelity digital twins combining physics-based solvers (CFD, plasma, heat transfer) with learned surrogate components for rapid design-space exploration.
Develop robust multi-objective optimization and uncertainty-quantification workflows to ensure AI-generated designs are manufacturable, robust to variation, and compatible with downstream yield requirements.
Required Skills & Qualifications
Education: Masterβs or Ph.D. in Materials Science, Computational Engineering, AI/ML, or related field.
Technical Expertise:
Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
Experience with generative AI (LLMs, diffusion models, graph-based models).
Knowledge of computational materials methods (DFT, MD, phase-field modeling).
Additional Skills:
Familiarity with MLOps, HPC environments, and cloud deployment.
Understanding of thermodynamics, crystallography, and mechanical properties of materials.
--Thanks and Regards,Shubham PalLead Business Development ManagerSapear Inc.Email : shubham.p@Sapear.comCell : +1 (346)-770-0771
Job Type: Contract
Pay: $65.00 - $70.00 per hour
Expected hours: 8 per week
Work Location: On the road






