UVeye

HQ
Teaneck
Total Offices: 5
200 Total Employees
Year Founded: 2016

UVeye Benefits Overview

Compensation + Benefits

Offers company equity

Offers generous parental leave

Provides a pension

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers generous PTO

Provides paid sick days

Career Growth + Development

Provides customized development tracks

Company Culture

Office is pet friendly

Provides free snacks and drinks

Recently posted jobs

21 Hours AgoSaved
In-Office or Remote
Albany, NY, USA
Artificial Intelligence • Automotive • Computer Vision • Software
Manage strategic customer relationships with automotive dealership clients, driving platform adoption, ROI, and measurable business outcomes. Train users, understand client goals, analyze account performance metrics, identify optimization and expansion opportunities, and manage multiple accounts and projects. The role requires regular dealership-site work and approximately 50% travel.
6 Days AgoSaved
Hybrid
Tel Aviv, ISR
Artificial Intelligence • Automotive • Computer Vision • Software
Lead security operations across cloud infrastructure, DevOps, IT, and R&D. Implement security tooling, integrate security into CI/CD and infrastructure-as-code workflows, enforce cloud security policies, manage vulnerabilities, coordinate incident response and forensic investigations, oversee penetration testing, and drive ISO 27001, SOC 2, GDPR, and audit-readiness efforts. Collaborate with technical and business stakeholders to prioritize security requirements and protect systems from threats and misconfigurations.
13 Days AgoSaved
Hybrid
Tel Aviv, ISR
Artificial Intelligence • Automotive • Computer Vision • Software
Develop and deploy state-of-the-art deep learning and computer vision algorithms for automated vehicle inspection. Responsibilities include creating proof-of-concepts, transitioning research into production systems, benchmarking models on large datasets, applying data-centric AI methods, and optimizing real-time inference across edge and cloud environments. The role collaborates with infrastructure, MLOps, and hardware teams.