Software Engineer - Computer Vision

Verkada Inc.; San Mateo (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Healthcare coverage

Mental health support

Paid parental leave

Flexible PTO

Wellness benefits

Healthy meals provided

Job summary

Verkada Inc. is seeking a Computer Vision-focused software engineer to help advance our AI-powered platform across video security and analytics.You will work on state-of-the-art detection, recognition, and edge-LPR/face systems, collaborating with a strong team.

Role emphasizes C++ development, traditional CV techniques, scalable architectures, and hands-on onsite work in California.

Qualifications

• Bachelors in CS; research experience preferred.
• 1–3 years industry software engineering experience.
• 1+ years work or research with neural net frameworks.
• Mastery of at least one practical programming language.
• Experience in an agile software development environment.

Responsibilities

• C++ - write clean, modular code.
• Apply traditional computer vision algorithms.
• Work with data structures and architecture.
• Willing to work onsite five days per week.

Skills

C++

Computer Vision

Data Structures

Neural Net Frameworks

Programming Language Mastery

Agile Development

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science (preferred)

Job description

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.

About the Role

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 TensorFlow 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

What You'll Do

• C++ - writing clean, modular, C++ code
• Traditional computer vision algorithms
• Data structures and architecture
• Must be willing and able to work onsite five days per week

What You Bring

• Bachelor's Degree in Computer Science, preferably with research experience
• 1-3 years of industry software engineering experience1+ 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

US Employee Benefits

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
• Fertility Stipend
• Wellness/fitness benefits
• Healthy lunches provided daily

Additional Information

• 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 and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs)

Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable).

$180,000 - $300,000 USD

As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.