Senior Software Engineer - Computer Vision

Verkada; Foster City (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Vision/Dental coverage

Paid holidays

Job summary

Verkada is hiring for a Computer Vision Software Engineer in Foster City, CA. The role focuses on developing AI-powered video analytics, including people/vehicle detection, license plate recognition, and on-edge processing.

The team trains models using PyTorch, TensorFlow, and Keras, and emphasizes clean C++ code and scalable architecture in an onsite, collaborative environment.

Qualifications

• Bachelor's degree in CS; 4+ years in software engineering.
• 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 software development environment.

Responsibilities

• Write clean, modular C++ code.
• Apply traditional computer vision algorithms.
• Train deep learning networks using PyTorch, TensorFlow, or Keras.
• Collaborate in an Agile team and contribute to architecture decisions.

Skills

C++

Computer Vision

Deep Learning

Agile

Education

Bachelor's Degree in Computer Science

Research experience

Tools

TensorFlow

PyTorch

Keras

Job description

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, 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
• Training deep learning networks using PyTorch, TensorFlow, Keras, or similar
• 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
• 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

US Employee Benefits

• 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

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).

Estimated Annual Pay Range

$180,000 — $300,000 USD

Verkada Is An Equal Opportunity Employer

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.

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