Semiconductor Yield Software Engineer at HRL Laboratories

Malibu, California, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

NoVisa

SemiconductorsIndustries

Requirements

Experience with Python programming and best practices, including object-oriented programming principles, version control, data structures, unit testing
Experience writing SQL queries for large datasets
Statistical analysis and design of experiments
Understanding of cleanroom fabrication equipment and processes
Semiconductor device physics
Reporting and documentation of test results with emphasis on statistical analysis, data visualization, trending (experience generating data dashboards a plus)
Python instrument control (desired)
SQL table design (desired)
Failure analysis, including materials characterization techniques (desired)
Master’s degree in electrical engineering, computer science, physics, applied physics, or related field; or Master’s degree plus 3+ years of relevant experience in semiconductor yield engineering field
US Citizenship
Ability to obtain and maintain US Government Security Clearance

Responsibilities

Develop database infrastructure to store data from electrical measurements collected at various cryogenic temperatures, inline fabrication metrology, and device designs
Develop software to relate device yield to fabrication processes and designs
Use databases to extract critical information and perform statistical data analysis
Frequent technical communication with team members, including oral and written reporting

Skills

Python

SQL

Object Oriented Programming

Version Control

Unit Testing

Data Structures

Statistical Analysis

Design of Experiments

Semiconductor Device Physics

Cleanroom Fabrication

Data Visualization

Data Dashboards

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.

Malibu, CaliforniaHeadquarters

1997Year Founded

$1.9MTotal Funding

GRANTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Company Match

Gym Membership

Paid Vacation

Risks

Competition in quantum technologies could challenge HRL's market position.

Rapid AI advancements by competitors may outpace HRL's cognitive systems projects.

Reliance on government contracts poses risks if funding priorities change.

Differentiation

HRL Laboratories excels in cognitive systems enhancing human-machine collaboration.

The company is a leader in AI-driven defense projects and autonomous systems.

HRL's MEMES project focuses on advanced memory enhancement technologies.

Upsides

Growing interest in neuromorphic computing aligns with HRL's cognitive systems focus.

Increased funding for AI-driven defense projects benefits HRL's autonomous systems work.

Energy-efficient data center trends support HRL's cooling system innovations.

Land your dream remote job 3x faster with AI

Try Jobo Free