Base Salary
$180k - $300k/yr
Responsibilities
- Write clean, modular C++ code.
- Develop traditional computer vision algorithms.
- Train deep learning networks using frameworks like PyTorch and TensorFlow.
- Implement and deploy machine learning models for video analytics.
- Work onsite five days a week.
Requirements
- Bachelor's Degree in Computer Science, preferably with research experience.
- 1-3 years of industry software engineering experience.
- 1+ years of experience with neural net frameworks.
- Mastery of at least one practical programming language.
- Experience in an agile team software development environment.
Benefits
- 100% healthcare premiums covered for employees and 80% for family premiums.
- Nationwide medical, vision, and dental coverage.
- Health Saving Account (HSA) with employer contributions.
- Expanded mental health support.
- Paid parental leave policy and fertility benefits.
- Flexible PTO and personal sick time.
- Professional development stipend.
- Wellness/fitness benefits.
- Healthy lunches provided daily.
- Commuter benefits.
About Verkada
Transforming how organizations protect people and places. Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive platform that includes video security, access control, sensors, alarms, intercoms, and visitor management. Today, more than 30,000 organizations, including 100+ Fortune 500 companies, rely on Verkada. With over $1B in annualized bookings, a $5.8B valuation, and backing from NVIDIA, CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, and Next47, we’re scaling rapidly across the global market. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. From retail stores preventing theft before it happens, to warehouses using AI-powered alerts to improve worker safety, to schools detecting and responding to threats in seconds, not minutes, Verkada is redefining what modern physical security can do. More than 2 million devices are now deployed across 170+ countries, and we’re just getting started.