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
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