Verkada

Verkada

Senior Frontend Engineer - Access Control

San Mateo, CA United States · Senior · Full-time

H1B sponsorship available$200k-$260kDetected 12 days ago
JavaScriptReactAgentic AIValuation

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

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 11 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 100%

Of 12 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 505 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

DOL often reclassifies their job titles

The Department of Labor assigned a different occupation than this employer requested on 40% of its 15 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.

Files H-1B transfers

24 transfer filings in the last year, covering 24 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

  • Access Control is our second major product line.
  • We consider our team a startup within a startup, with a fair amount of ownership and autonomy.

Responsibilities

  • Strong architectural understanding of custom components, custom UI, and cross-browser support
  • Eye for design, product details, and polish

Requirements

  • 7+ years of industry software engineering experience
  • Working knowledge of at least one server-side framework and one database system
  • Degree in Computer Science or related Engineering field

Compensation

  • Estimated Hourly Pay Range
  • Estimated Annual Pay Range

Benefits

  • Healthcare programs that can be tailored to meet the personal health and financial well-being needs
  • Nationwide medical, vision and dental coverage
  • Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
  • Expanded mental health support
  • Paid parental leave policy & fertility benefits
  • Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
  • Professional development stipend
  • Fertility Stipend
  • Wellness/fitness benefits
  • Commuter benefits

Company info

  • Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management.
  • We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.
  • You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries.
  • We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more.
  • Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.
  • You can look at all kinds of communities to see our platform's impact in the world.
  • It's the retailer that uses our agentic AI to deter theft before it happens.
  • The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE.
  • The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes.
  • We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries.
  • We've got serious momentum in the market:
  • more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more.
  • We're rapidly scaling this impact:
  • today, more than 2 million Verkada devices are deployed across 170+ countries.

Equal opportunity

  • Verkada Is An Equal Opportunity Employer
  • As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals.

Visa & Work Authorization

  • We do sponsor and take over sponsorship of employment visas for this role.
  • If we make you an offer, we will make every reasonable effort to get you a visa.

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