Safari AI - AI Deployment Engineer/Manager
Requirements
• A degree in Computer Science, Computer/Electrical Engineering, Information Technology or a related field, or equivalent hands-on experience • 0–3 years of experience in IT, system administration, network support, field engineering or a similar role (internships, co-ops and homelab projects count) • Comfortable on the Linux command line: SSH, permissions, services, logs and basic shell scripting • Basic networking: IP addressing, subnets, DHCP, DNS, switches and PoE • Comfortable with physical hardware: racking a server, running and testing cable, mounting and aiming a camera, working on a ladder • Strong troubleshooting habits: you narrow a problem down step by step and write down what you tried • Clear written and verbal communication with teammates, contractors and customer IT staff • Organized, detail-oriented and a fast learner in new technical environments • Experience with IP cameras, NVR/VMS systems or RTSP streams (Axis, Hanwha, Hikvision and similar) • Experience with NVIDIA Jetson, GPUs or other edge AI hardware • Ansible, Docker, OpenVPN/WireGuard or other automation and remote-access tools • CompTIA Network+, CCNA or a homelab you can tell us about • Consulting, robotics or computer vision experience • Must be permanently authorized to work in the U.S. (e.g., U.S. citizen or green card holder). We are unable to sponsor or take over sponsorship of work visas, now or in the future. • Able to travel regularly to customer sites, sometimes on short notice • Willing to work evenings and weekends when sites are closed to guests, and to respond to emergencies on priority projects • Able to lift and carry up to 50 lb of equipment • Why bet on Computer Vision and Safari AI? • Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data • Already the market leader in enterprise CV by working with industry leaders with billions in revenue • Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet. • Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with) • Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis • Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale
Responsibilities
• Hardware Provisioning & Linux Administration: Set up and configure edge computers (x86 GPU servers and NVIDIA Jetson), cameras, network switches and 5G/LTE modems before they ship. Maintain, patch and troubleshoot Linux systems in the field, and improve our install scripts and Ansible playbooks. • Hardware Provisioning & Linux Administration: • On-Site Deployment & Implementation: Travel to customer sites to install and connect cameras and edge devices, verify camera streams and angles, and bring systems online. Work with installation contractors and customer IT teams to keep rollouts on schedule. • On-Site Deployment & Implementation: • Solution Design (with the Deployment lead): Run pre-deployment assessments covering camera inventory, network layout, bandwidth sizing, redundancy and rack space. Help spec ML/GPU hardware and design site-to-site and VPN connections. • Solution Design (with the Deployment lead): • Project Coordination: Track hardware inventory, order from preferred vendors, coordinate shipping, and keep checklists, timelines and status reports current. • Project Coordination: • Customer Support & Monitoring: Be a technical point of contact for customers during and after deployment. Respond to alerts such as an offline camera or edge device, and resolve or escalate issues with clear notes. • Customer Support & Monitoring: • Documentation & Automation: Write installation guides, SOPs and handoff documents, and use AI tools and scripts to automate repetitive deployment and support work. • Documentation & Automation:
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