Product Specialist III - Rheology
Thermo Fisher ScientificSalary not specified
- Full Time
- Mid-level (3 to 4 years)
$132,765 – $165,983Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, Robotics & Automation, Material ScienceIndustries
Requirements
Candidates should possess an M.S. or Ph.D. in Material Science, Physics, Physical Chemistry, or a related scientific discipline, and several years of experience in developing, characterizing, and exercising semiconductor manufacturing processes and corresponding electronics packaging. Familiarity with commercial packaging technology, high-speed electrical characterization methods, and a deep understanding of material science, surface chemistry, semiconductor physics, and thermal/mechanical theory related to electronics processing and assembly techniques are required. US citizenship and the ability to obtain and maintain a security clearance are also necessary.
Responsibilities
The Packaging and Integration Scientist will support a diverse team of scientists and engineers in developing novel 2.5D and 3D semiconductor integration processes, assist with integration from chip-level to package and PCB, perform theory-driven analyses of candidate approaches, assist with research and development projects, develop and maintain relationships with vendors and partner organizations, organize and present results in written reports and oral presentations, and work in a fast-paced, deadline-driven environment.
Skills
Design of Experiments
DOE
Electrical Characterization
Mechanical Analysis
Thermal Analysis
Chemical Analysis
Semiconductor Manufacturing
Surface Chemistry
Semiconductor Physics
Thermal Theory
Mechanical Theory
Microsoft Office
Word
Excel
PowerPoint
HRL Laboratories
Develops cognitive systems for human-machine collaboration
About HRL Laboratories
HRL Laboratories focuses on research and development of advanced cognitive systems and human-machine collaboration, enhancing human cognitive abilities through artificial intelligence (AI) and machine learning (ML). The company develops solutions like the ICArUS project, which improves machine interpretation of information, and the MEMES project, aimed at enhancing human memory. HRL operates on a project-based model, serving clients in defense and high-tech sectors by delivering customized solutions and licensing technologies. The goal is to lead in creating cognitive systems that improve the interaction between humans and machines.
Key Metrics
Malibu, CaliforniaHeadquarters
1997Year Founded
$1.9MTotal Funding
GRANTCompany Stage
AI & Machine Learning, DefenseIndustries
501-1,000Employees