Unknown Company

Senior Software Engineer - Computer Vision

san mateo, ca • Posted 4 days ago
Onsite Full Time General

Software Engineer - Computer VisionSan Mateo, CA United StatesWho We AreVerkada 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 RoleAt 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 camerasDetecting unusual object addition/removal in a sceneDetecting and counting object and people frequenciesTraining text image embedding models and vision language modelsTraining license plate recognition models and implementing LPR on the edgeTraining facial recognition models and implementing real-time facial recognitionWhat You'll DoC++ - writing clean, modular, C++ codeTraditional computer vision algorithmsTraining deep learning networks using PyTorch, TensorFlow, Keras, or similarData structures and architectureMust be willing and able to work onsite five days per weekWhat You BringBachelor's Degree in Computer Science, preferably with research experience2+ years of industry software engineering experience1+ years of work or research experience with current neural net frameworksMastery of at least one practical programming languageExperience working in an agile team software development environmentUS Employee BenefitsHealthcare 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 plansNationwide medical, vision and dental coverageHealth Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving optionsExpanded mental health supportPaid parental leave policy & fertility benefitsTime off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick timeProfessional development stipendFertility StipendWellness/fitness benefitsHealthy lunches provided dailyCommuter benefitsAdditional InformationWe 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$180,000 - $300,000 USDVerkada Is An Equal Opportunity EmployerAs 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.Your application will be handled in accordance with our Candidate Privacy Policy.

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