Description

Lead the end-to-end architecture of the Edge AI and IoT platform, defining reference designs, component boundaries, and integration contracts across edge, on-premises, and cloud tiers. Drive the adoption of open standards (MQTT, VSS, OPC-UA, ONVIF) and NVIDIA ecosystem tooling (CUDA, TensorRT, Jetson, NGC) while establishing architecture decision records and mitigating systemic technical risks.

Responsibilities

• Own the platform architecture, defining data flows and integration contracts for real-time IoT telemetry and sensor fusion.
• Lead the design for NIST SP 800-171 compliance and zero-trust security principles, collaborating with legal teams on system security plans.
• Serve as the primary technical mentor for globally distributed teams, running architecture reviews and enforcing engineering standards for Kubernetes and CI/CD.
• Act as the senior technical point of contact for US public sector clients, translating mission requirements into platform capabilities for RFP responses.
• Identify and mitigate risks related to latency, bandwidth, model drift, and security boundaries before they impact production.

Required Skills

• 10+ years of software engineering experience, including 4+ years in a principal architect or staff engineer role.
• Deep expertise with the NVIDIA ecosystem: CUDA development, TensorRT optimization, Jetson hardware, and Triton Inference Server.
• Proficiency in containerized, cloud-native architectures using Kubernetes, Helm, service mesh, and GitOps.
• Strong knowledge of MQTT broker architecture, QoS, and at least one complementary streaming technology like Kafka or AMQP.
• Practical experience implementing NIST SP 800-171 controls and translating them into concrete engineering requirements.
• Hands-on experience with modern observability stacks including OpenTelemetry, Prometheus, and Grafana.
• Solid understanding of Vehicle Signal Specification (VSS) or comparable hierarchical signal data modeling standards.
• Ability to produce crisp architecture diagrams and documents for both engineering peers and non-technical government stakeholders.

Preferred Skills

• Experience with CMMC Level 2/3 assessments or FedRAMP authorization processes.
• Familiarity with additional edge protocols such as OPC-UA, DDS, Matter, LoRaWAN, or TSN.

Key Skills

Education

Bachelor's degree