Senior Software Engineer - Computer Vision

Who We Are

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, Next
47 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.

At the forefront of innovation, the Computer Vision team develops the artificial intelligence and machine learning models that power Verkada s advanced analytics. Their responsibilities include creating and refining algorithms for features such as people and vehicle detection, license plate recognition, and other intelligent video analysis tools. Recent projects for this role include:

• Implementing and deploying a binary classifier using Tensor Flow for detecting the binary states across millions of cameras
• Detecting unusual object addition/removal in a scene
• Detecting and counting object and people frequencies
• Training text image embedding models and vision language models
• Training license plate recognition models and implementing LPR on the edge
• Training facial recognition models and implementing real-time facial recognition

• C++ - writing clean, modular, C++ code
• Traditional computer vision algorithms
• Training deep learning networks using PyTorch, Tensor Flow, Keras, or similar
• Data structures and architecture
• Must be willing and able to work onsite five days per week

• Bachelor s Degree in Computer Science, preferably with research experience
• 4+ years of industry software engineering experience
• 1+ years of work or research experience with current neural net frameworks
• Mastery of at least one practical programming language
• Experience working in an agile team software development environment

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• 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
• Healthy lunches provided daily
• Commuter benefits

• 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.

Annual Pay Range

At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate s skills and experience, as well as market demands…