Mechanical Engineer IV
$147K - $202K/yr
We empower our team to push the boundaries of what is possible-while learning every day in a ... Validate solutions using firstprinciples hand calculations and simulation tools (e.g., FEA / CFD ...
Mechanical Engineer IV
$147K - $202K/yr
We empower our team to push the boundaries of what is possible-while learning every day in a ... Validate solutions using firstprinciples hand calculations and simulation tools (e.g., FEA / CFD ...
Machine Learning Cfd information
What are Machine Learning CFD jobs?
Machine Learning CFD (Computational Fluid Dynamics) jobs focus on integrating machine learning techniques with traditional fluid dynamics simulations and analyses. Professionals in this field use AI and data-driven models to accelerate simulations, improve prediction accuracy, and optimize fluid flow processes. These roles often require knowledge of both CFD principles and machine learning algorithms, and are commonly found in industries such as aerospace, automotive, and energy. Typical responsibilities include developing surrogate models for simulations, automating data analysis, and implementing deep learning approaches for complex flow problems.
How does a Machine Learning CFD professional typically collaborate with domain experts and software engineers in a project setting?
As a Machine Learning CFD (Computational Fluid Dynamics) professional, you’ll frequently collaborate with domain experts such as mechanical or aerospace engineers to ensure your models accurately reflect physical phenomena. You’ll also work closely with software engineers to integrate machine learning algorithms into simulation pipelines and optimize computational performance. Effective communication is key, as you’ll need to translate complex data-driven insights into actionable engineering solutions and vice versa. These collaborative efforts help streamline workflows, improve model accuracy, and ensure practical deployment of ML-enhanced CFD tools.
What is the difference between Machine Learning CFD vs Data Scientist?
| Aspect | Machine Learning CFD | Data Scientist |
|---|---|---|
| Required Credentials | Degree in Engineering, Computer Science, or related fields; knowledge of CFD software | Degree in Statistics, Computer Science, or related fields; strong programming skills |
| Work Environment | Engineering firms, aerospace, automotive industries, research labs | Business, finance, tech companies, research institutions |
| Industry Usage | Simulation, fluid dynamics, engineering analysis | Data analysis, predictive modeling, business insights |
Machine Learning CFD focuses on applying machine learning techniques to computational fluid dynamics simulations, often within engineering contexts. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming skills and a strong analytical background, Machine Learning CFD emphasizes simulation and engineering applications, whereas Data Scientists focus on data-driven decision-making across diverse sectors.
What are the key skills and qualifications needed to thrive as a Machine Learning CFD (Computational Fluid Dynamics) Engineer, and why are they important?
To thrive as a Machine Learning CFD Engineer, you need a strong background in fluid dynamics, numerical methods, and machine learning, often supported by a degree in engineering, physics, or computer science. Familiarity with CFD software (such as ANSYS Fluent or OpenFOAM), programming languages like Python or C++, and machine learning frameworks (TensorFlow or PyTorch) is essential. Critical thinking, problem-solving, and effective communication are standout soft skills for interpreting data and collaborating on interdisciplinary teams. These competencies are crucial for developing innovative solutions that enhance simulation accuracy and computational efficiency in engineering projects.
What are popular job titles related to Machine Learning Cfd jobs in California? For Machine Learning Cfd jobs in California, the most frequently searched job titles are:
- Mechanical Engineer Environmental
- Senior Piping Engineer
- Prototyping Engineer
- Internship Mechanical Engineer Solidworks
- Senior Mechanical Engineer Automotive
- Google Mechanical Engineer
- Remote Mechanical Engineer Environmental
- Mechanical Engineer Designer
- Internship Offshore Mechanical Engineer
- Internship Optimization Engineer
What job categories do people searching Machine Learning Cfd jobs in California look for? The top searched job categories for Machine Learning Cfd jobs in California are:
- Junior Mechanical Engineer Porsche
- Phd Cfd Computational Engineer
- Bachelor Mechanical Engineering
- Msme
- Internship Outdoor Mechanical Engineering
- Lockheed Martin Corporation Mechanical Engineer
- Mechanical Engineering Programming
- Virtual Remote Mechanical Engineering Internships
- Design Engineer Internship
- Mechanical Integration Engineer
What cities in California are hiring for Machine Learning Cfd jobs? Cities in California with the most Machine Learning Cfd job openings:
$147K - $202K/yr
Full-time
Posted 23 days ago
Job description
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
Salary:
$147,000.00 - $202,500.00Location:
Santa Clara,CAYou'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.
As a Mechanical Engineer, you'll leverage your strong foundation in physics, mathematics, and materials science to process and resolve mechanical problems, design and implement custom mechanical tooling and associated processes, and enable the handling, assembly, and disassembly of parts, components, sub-assemblies, and final assemblies throughout the product life cycle. You'll be responsible for designing, developing, and modifying mechanical engineering layouts, schematics, and specifications. You will oversee manufacturing and installation processes, ensuring adherence to industry standards and regulations-- and you'll coordinate the procurement and assembly of mechanical components and equipment for design projects, identifying sources of critical parts and subsystems to resolve technical issues.Applied Materials is looking for a Mechanical Engineer who is an effective problem solver and system thinker. In this role, you will own the endtoend design, development, and validation of hardware required to enable Chemical Vapor Deposition (CVD) processes.
As a Mechanical Engineer, you will develop technical solutions by generating rootcause hypotheses, brainstorming design concepts as part of a crossfunctional team and performing handson testing to validate solutions. You will be instrumental in enabling key technologies and developing equipment that powers the next generation of advanced semiconductor chips and displays used in Artificial Intelligence and Augmented Reality applications.
Key Responsibilities
- Technically lead engineering projects and own endtoend execution, delivering complete solutions for technical problems of varying complexity.
- Deconstruct onwafer performance requirements into clear engineering design requirements and collaborate with different engineering disciples like Process Engineering team to develop solutions that meet or exceed those requirements.
- Identify design tradeoffs and technical risks, evaluate alternatives, and select the optimal path to solution.
- Perform engineering analyses (e.g., tolerance, thermal, structural, flow) to demonstrate designs will meet functional and performance objectives.
- Work with internal subjectmatter experts and external suppliers to design systems and components that achieve performance, reliability, and manufacturability requirements.
- Plan and execute structured experiments and validation tests to characterize performance, establish operating windows, and define design margins.
- Analyze experimental and field data using tools such as JMP and Microsoft Excel to identify trends, assess statistical significance, and draw sound engineering conclusions.
- Validate solutions using firstprinciples hand calculations and simulation tools (e.g., FEA / CFD), correlating analytical predictions with test results.
- Prepare and deliver technical presentations to crossfunctional teams, management, and customers.
- Create, specify, review, and release engineering documentation in Teamcenter, ensuring accuracy and configuration control across the product lifecycle.
Qualifications
- PhD or Master's degree in mechanical engineering with 5-7 years of applicable experience
- Experience in semiconductor equipment design or troubleshooting.
- Proficiency with 3D CAD tools such as Siemens NX, Creo (Pro/ENGINEER), or SolidWorks
- Experience with engineering analysis tools (e.g., ANSYS, CFDACE, COMSOL) is a plus.
- Demonstrated strength in at least one technical domain: thermal engineering, compressible flow, mechanical design, or machining/manufacturing processes.
- Excellent written and verbal communication skills, with the ability to create clear, concise engineering documentation.
- Proven ability to build effective crossfunctional relationships and communicate technical concepts to nonexperts.
- Ability to prioritize and manage multiple projects in a fastpaced product development environment.
Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
YesThe salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
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.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.