Arrow Electronics Inc.

Arrow Electronics Inc.

Post Silicon Engineer (eInfochips)

Cupertino, Santa Clara County

Sponsorship not specifiedDetected 78 days ago
AWSMachine Learning

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 10 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

3 transfer filings in the last year, covering 3 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Position: Post Silicon Engineer (eInfochips) Job Description: Location: Cupertino, CA and Austin TX Experience: 8 Years What You'll Be Doing: As a Senior Validation Engineer on our Machine Learning Acceleration team to work -from early design validation through emulation, silicon bring-up, post-silicon validation, and ongoing support of production systems
  • deployed in AWS data centers. You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to e…

Responsibilities

  • You'll collaborate deeply with architecture, RTL design, design verification, firmware, and software teams to e…

This listing is sourced directly from Arrow Electronics Inc.'s careers page and normalized into a canonical job model.