Scott L. Page & Associates Looking for AI/ML Research Engineer for SPICE Modeling at Remote Full Time

Job details

Salary $130,000 – $150,000 a year job type full-time remote

Qualifications

Bachelor`s (preferred)

Work authorization (preferred)

Benefits pulled from the full job description

401(k) dental insurance flexible schedule health insurance paid time off rsu show 1 more benefit

Full job description

Ai/ml research engineer for spice modeling

The candidate for this position will support the development of machine learning and data analytic flows for efficient semiconductor devices and circuits model generation, reporting to the worldwide spice modeling group in design enablement.

Essential responsibilities include:

Work with semiconductor device compact modeling experts to develop, deploy, evaluate, and improve machine learning data analytics and supervised and unsupervised machine learning flows for efficient device model generation and data miningBelow are the required skills:

· fluent in coding in programming languages (one or more of python, r, java, scala, etc.) and familiarity with analytic packages like scipy, numpy, pandas, matplotlib

· in-depth hands-on experience in successfully applying machine learning to real-world problems

· strong knowledge of machine and deep learning frameworks: scikitlearn, keras, tensorflow, pytorch, etc

· enthusiastic collaborator and effective communicator

· self-driven and able to take ownership of assignments and work independently

· strong written and oral communications skills

· team player; able to succeed in a dynamic, fast paced environment.

· demonstrate an intellectual curiosity to unlock hidden information in big semiconductor data, to provide better technology solutions for a better world

Other responsibilities:

Perform all activities in a safe and responsible manner and support all environmental, health, safety & security requirements and programs

Qualifications – external

Required qualifications:

· b.sWith 7+ years of relevant experience, or

· m.sWith 5+ years of relevant experience, or

· ph.d with 2+ years of relevant experience

Preferred qualifications:

· familiarity and experience with semiconductor processing, chip design, and eda tools is not required, but would be advantageous to have

· proficiency in database technologies

· experience with a multitude of machine learning methods such as multiple linear regression, advanced neural network, support vector machines, logistic regression, boosting, decision trees, clustering, hmms etc

· background in mathematical foundations for data discovery such as statistical inference and techniques for dimensionality reduction.

This is a hybrid role

Location austin, tx

$130-$150 base and bonus and rsus

Job type: full-time

Pay: $130,000.00 – $150,000.00 per year

Benefits:

401(k)
Dental insurance
Flexible schedule
Health insurance
Paid time off
Vision insurance

Schedule:

8 hour shift

Supplemental pay types:

Bonus pay

Education:

Bachelor`s (preferred)

Experience:

Semiconductor: 2 years (preferred)
Semiconductor processing, chip design, and eda tools: 2 years (preferred)
Machine, deep learning frameworks: 3 years (preferred)

Work location: remote

Hiring insights

Application response rate: 69%

Hiring 2 candidates for this role

Job activity

Employer reviewed job 3 days ago

Posted 9 days ago