On-Site Video Analytics & VMS Engineer

Archer

Boca Raton (FL)

On-site

USD 90,000 - 120,000

Full time

2 days ago

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Job summary

Archer is seeking a hands-on field engineer to install, integrate and support our AI analytics platform on-site at corrections, law enforcement and government facilities in the United States. You will connect camera fleets, VMS platforms and facility networks to our analytics, while deploying and maintaining on-prem and edge servers.

Expect regular travel (40–60%) and close collaboration with Leo Technologies.

Qualifications

5+ years as a field, systems or integration engineer in physical security, video surveillance or a closely related area.
Hands-on experience deploying and administering at least one enterprise VMS (Genetec, Milestone, Avigilon or equivalent), including large camera counts and multi-site setups.
Strong IP video fundamentals: RTSP, ONVIF, H.264/H.265, stream profiles, storage and retention planning.
Solid networking skills: TCP/IP, VLANs, PoE, multicast, QoS, firewalls and routing; comfortable configuring enterprise switches (Cisco, Aruba, Juniper or similar).
Working Linux administration skills and comfort with Docker; exposure to Kubernetes is helpful but deep expertise is not required.
Scripting in Python or Bash for automation, diagnostics and integration glue.
Experience working in secure or regulated customer environments, and the judgment to follow controls without slowing the customer down.
Clear communicator who can work directly with facility operators, IT staff and engineering teams.
Willingness to travel to customer sites (approximately 40-60%, to be confirmed).

Responsibilities

Lead on-site integration of our AI analytics with customer video environments: IP cameras, encoders, NVRs and VMS platforms (Genetec Security Center, Milestone XProtect, Avigilon, Axis Camera Station or equivalent).
Configure video ingestion over RTSP, ONVIF (Profiles S, G, T and M) and VMS SDKs or APIs; tune stream profiles, codecs (H.264/H.265), resolution, frame rate and bitrate for analytics accuracy.
Run site surveys and camera audits: placement, field of view, lighting and coverage gaps that affect detection quality.
Integrate alerts and metadata back into the customer’s VMS, PSIM or command-center workflows so operators act on them in the tools they already use.
Commission and validate each deployment against acceptance criteria, then hand off with clear as‑built documentation.
Design and troubleshoot the networks that carry video: VLAN segmentation, PoE budgets, multicast (IGMP snooping, PIM), QoS and bandwidth planning for high camera counts.
Work with customer IT on firewall rules, routing, VPN or site-to-site links, and segregation between video, analytics and management networks.
Diagnose stream loss, latency, jitter and packet drops using Wireshark, switch logs and VMS diagnostics.
Install and maintain on-prem and edge GPU servers running our inference services: Linux, NVIDIA drivers and CUDA, Docker, and lightweight Kubernetes (K3s or similar) where used.
Deploy releases with our packaged installers and runbooks, including offline updates for air-gapped sites.
Monitor deployed systems with our observability stack (Prometheus, Grafana) and own field-level incident response: triage, escalation to engineering, and clear postmortem notes.
Apply CJIS Security Policy and customer controls on site: least-privilege access, encryption in transit, audit logging and secure handling of video evidence.
Keep data segregation boundaries intact across camera, analytics and customer networks.
Act as the technical face of the company on site: train operators and admins, translate field issues into actionable bug reports, and push back when a configuration would compromise security or reliability.