Own the end-to-end architecture of the Edge AI / IoT platform, defining reference designs, component boundaries, data flows, and integration contracts across edge, on-premises, and cloud tiers.
Drive adoption of open standards (MQTT, VSS, OPC-UA, ONVIF, etc.) and NVIDIA ecosystem tooling (CUDA, TensorRT, Jetson, NGC) across the product.
Lead the architecture design to achieve and maintain NIST SP 800-171 compliance, with a clear pathway toward CMMC Level 2 (and Level 3 where required by contracts).
Define zero-trust principles, secure-by-design patterns, cryptographic key management, and supply chain security practices for all platform components.
Collaborate with our compliance and legal teams to produce architecture documentation, system security plans (SSPs), and evidence packages required during government procurement.
Serve as the primary technical mentor for a globally distributed engineering team spanning multiple time zones; run architecture reviews, design sprints, and internal tech talks.
Act as the senior technical point of contact during pre-sales and onboarding with US public sector clients, translating customer mission requirements into platform capabilities.

10+ years of software engineering experience, with at least 4 years in a principal architect, staff engineer, or equivalent technical leadership role.
Proven track record designing large-scale distributed systems with real-time or near-real-time constraints — IoT telemetry pipelines, sensor fusion, or similar.
Deep expertise with MQTT (broker architecture, QoS, retained messages, MQTT over TLS) and at least one complementary messaging/streaming technology (Kafka, AMQP, ROS 2, etc.).
Hands-on experience with the NVIDIA ecosystem: CUDA development, TensorRT optimization, Jetson or similar edge AI hardware, and NVIDIA NGC / Triton Inference Server.
Solid understanding of Vehicle Signal Specification (VSS) or comparable hierarchical signal / data modeling standards for edge device abstraction.
Practical knowledge of NIST SP 800-171 controls and experience translating them into concrete architecture and engineering requirements.
Proficiency in containerized, cloud-native architectures: Kubernetes, Helm, service mesh, GitOps, and modern observability stacks (OpenTelemetry, Prometheus, Grafana).

Competitive compensation package including base salary, equity, and performance bonus — benchmarked globally.
Flexible, fully remote work environment with async-first culture and periodic team on-sites.
Access to cutting-edge NVIDIA GPU infrastructure for research and development.
Dedicated learning & conference budget, and active participation in industry standards bodies.

Lead Architect – Public Sector

Key skills