热门公司

Applied Materials
Applied Materials

Leading company in the software industry

CAE Engineer - AI CFD and Thermal

职能工程
级别中级
地点Bengaluru, India
方式现场办公
类型全职
发布2个月前
立即申请

必备技能

CFD

Heat Transfer

Python

C++

TensorFlow

Ansys Fluent

Ansys Mesher

Bayesian optimization

DOE

Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer:

Location:
Bangalore,IND

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

  • Job Description

  • Senior Engineer / Lead Engineer

  • AI CFD will Drive AI innovation in CFD/Thermal domain

  • 5+ years' experience in CFD/Thermal simulations related to Semiconductor/Aero/Automotive Product Development / Manufacturing Engineering

  • 2+ years' experience in implementing AI solutions in CFD/Thermal simulations

  • Requires strong knowledge of CFD, Heat Transfer and Pre & Post processing of CFD Tasks

  • Must have knowledge of commercially available CFD analysis tools such as Ansys Mesher, Ansys Fluent, Ansys WB, CFD-ACE+ modules

  • Knowledge of statistical methods and tools (JMP, Minitab) and AI tools (Ansys SimAI and Altair PhysicsAI)

  • Exposure to Chemical reactions/Plasma simulations is an added advantage

  • Key Responsibilities

  • Collaborate with stakeholders to understand business challenges in the CFD/Thermal space and solve them using API based customization and AI methodologies

  • Automating mesh generation, solver setup, and post-processing of CFD and thermal analysis results

  • Building optimization pipelines for thermal and fluid systems using AI-assisted approaches

  • Evaluate, validate, and benchmark model performance using appropriate metrics

  • Deploying AI models into production environments in collaboration with IT/AI teams

  • Establish monitoring and maintenance processes to ensure model accuracy over time

  • Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements

  • Document workflows, results, and lessons learned for organizational knowledge sharing

  • Stay updated on advancements in neural networks, multi-physics simulations, surrogate modelling and physics-informed learning techniques

  • Functional Knowledge

  • Must have in-depth knowledge of Fluid dynamics and Heat Transfer

  • Strong skills in problem solving, teamwork and quality

  • Strong programming skills in Python and C++ for automation and solver integration

  • Familiarity with Bayesian optimization and DOE

  • Experience with ML frameworks like Tensor Flow

  • Knowledge of surrogate modeling, reduced-order modeling (ROMs), and regression techniques

  • Experience in data handling (large-scale CFD datasets) and feature engineering (feature extraction from flow fields like velocity, pressure, turbulence quantities)

  • Experience in domain-specific AI use cases (Semiconductor, manufacturing etc.)

  • Academic Qualifications

  • B.E/ B. Tech, MS/M.Tech in Mechanical

  • Thermal and Fluids Engineering or MS/M.Tech in Chemical engineering with 5+ years of experience in Flow/Thermal/Chemical Engineering domains.

  • Preferred Attributes

  • Strong problem-solving and analytical mindset

  • Strong attention to detail and organizational skills

  • Excellent communication skills for presenting complex findings to stakeholders

  • Ability to work independently and collaboratively in a fast-paced environment

  • Proactive approach to process improvement and automation

Additional Information:

Time Type: Full time

Employee Type: Assignee / Regular

Travel:Yes, 10% of the Time

Relocation Eligible:
Yes

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

浏览量

0

申请点击

0

Mock Apply

0

收藏

0

关于Applied Materials

Applied Materials

Applied Materials, Inc. is an American corporation that supplies equipment, services and software for the manufacture of semiconductor chips for electronics, flat panel displays for computers, smartphones, televisions, and solar products.

10,001+

员工数

Santa Clara

总部位置

$57B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.2

薪酬

3.5

企业文化

3.8

职业发展

3.3

管理层

3.9

72%

推荐率

优点

Supportive and approachable management

Good benefits and training programs

Cutting-edge technology and interesting projects

缺点

Heavy workload and frequent overtime

Fast-paced and stressful environment

Limited growth opportunities

薪资范围

53个数据点

L2

L6

Mid/L4

L3

L4

L5

L2 · Financial Analyst L2

0份报告

$92,625

年薪总额

基本工资

$37,050

股票

$46,313

奖金

$9,263

$64,837

$120,413

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical/Hiring Manager Interview

4

Final Round Interview

5

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Culture Fit