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Ai Simulator Santa Jobs (NOW HIRING)

Santa Clara, CA Ladder: Silicon / Hardware Design Travel: Minimal (0-10%) Role Overview At Nexthop ... Logic simulation: Run and debug simulations using Modelsim / Questasim and NC-Verilog; triage ...

Digital Verification Engineer

Santa Clara, CA · On-site

$160K - $196K/yr

Santa Clara, CA Ladder: Silicon / Hardware Design Travel: Minimal (0-10%) Role Overview At Nexthop ... Logic simulation: Run and debug simulations using Modelsim / Questasim and NC-Verilog; triage ...

Develop simulation methodologies for scalable electro-photonic systems.Design digital and mixed ... US, California, Santa Clara Additional Locations: Posting Statement:All qualified applicants will ...

Generative AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

Our offices are in Emeryville and Santa Clara, California. About this role As a Generative AI CAD ... You'll collaborate closely with our AI, Modeling & Simulation, and Design engineers to build ...

Generative AI CAD Engineer

Emeryville, CA · On-site

$210K - $260K/yr

Our offices are in Emeryville and Santa Clara, California. About this role As a Generative AI CAD ... You'll collaborate closely with our AI, Modeling & Simulation, and Design engineers to build ...

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Ai Simulator Santa information

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$44.5K

$124.3K

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How much do ai simulator santa jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ai simulator santa in the United States is $124,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $140,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Ai Simulator Santa job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $124,275 per year, or $59.7 per hour.

AI Hardware Design Engineer

Siri InfoSolutions Inc

Santa Clara, CA • On-site

Contractor

Re-posted 14 days ago


Job description

Position:AI Hardware Design Engineer

Location: Santa Clara CA (ONSITE ROLE)

Duration: 6 Months

Local candidates preferred.

Skills: Digital : Python~Digital : Machine Learning Experience Required: 6-8

 We are seeking an Ai Hardware 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.
  • Platform & MLOps Infrastructure: Implement and maintain robust, containerized MLOps systems (Docker, Kubernetes) in HPC environments to deploy models efficiently.
  • 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.
  • Collaborate with physicists, domain experts, and software engineers to validate that AI models comply with fundamental scientific laws.

Required Skills & Qualifications:

Education: Master’s or Ph.D. in Computer Science, Computational/Electrical 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.

Proven experience (code repos, publications) bridging simulation software, hardware design, and ML.


Siri Infosolutions logo

About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005