Artificial Intelligence & Machine Learning Systems Engineer

Job Description

We’re seeking a highly skilled Artificial Intelligence & Machine Learning Systems Engineer to architect, design, and develop advanced AI/ML systems that power our next generation of products. In this leadership role, you’ll contribute to the technical roadmap, mentor engineering teams, and collaborate with cross‑functional teams to deliver intelligent, scalable, and production‑ready AI and machine learning technologies. You will be responsible for researching, creating, adapting, and evaluating AI/ML techniques to solve complex customer problems with real‑time solutions to support our defense customers.

We’re seeking a highly skilled Artificial Intelligence & Machine Learning Systems Engineer to architect, design, and develop advanced AI/ML systems that power our next generation of products. In this leadership role, you’ll contribute to the technical roadmap, mentor engineering teams, and collaborate with cross‑functional teams to deliver intelligent, scalable, and production‑ready AI and machine learning technologies. You will be responsible for researching, creating, adapting and evaluating AI/ML techniques to solve complex customer problems with real‑time solutions to support our defense customers.

Specifically, we are building next‑generation cognitive electronic warfare systems that operate autonomously at the tactical edge in contested, low‑SWaP (Size, Weight, and Power), denied, and disconnected environments. This is not a prompt‑engineering or GenAI role. We are looking for hardcore AI/ML systems engineers who treat machine learning as a component of a larger, mission‑critical, real‑time embedded system.

• Design, implement, and harden on‑line and continual‑learning ML algorithms for RF signal classification, adaptive jamming, cognitive radar, and electronic attack/support decision engines.
• Port, optimize, and deploy ML inference algorithms to edge processors.
• Build and maintain low‑latency, deterministic inference pipelines that integrate tightly with real‑time RF front‑ends and digital signal processing chains.
• Lead the systems integration of AI/ML techniques into mission‑critical embedded platforms running real‑time operating systems.
• Design and deliver warfighter‑focused engineering visualizations and tactical displays (real‑time spectrum awareness, threat emitter tracks, cognitive EW decision overlays, confidence heatmaps) using modern web stack frameworks that run natively on embedded tactical processors and dismounted soldier systems.
• Own the MLOps and Dev Sec Ops  pipeline for classified EW programs: secure CI/CD, model versioning, containerized build/test/deploy, SBOM generation, and compliance with DoD zero‑trust and CNCF security standards.
• Architect and deploy Kubernetes‑based edge orchestration clusters (e.g. k3s) that operate in fully air‑gapped tactical environments with strict latency and availability requirements.
• Perform end‑to‑end performance profiling (memory bandwidth, cache coherency, DMA, GPU/TPU/NPU utilization).
• Review code, guide architecture decisions, and mentor the AI/ML engineering team.
• Collaborate with product and engineering teams to identify AI/ML‑driven opportunities.

• You will own the entire stack from algorithm research to bare‑metal deployment on platforms that fly, float, or roll into harm’s way.
• No Python notebooks in production, everything is compiled, containerized, signed, and deployed with cryptographic integrity.
• Real impact: your code will out‑think and out‑maneuver adversary emitters in real conflicts. If you live for the intersection of cutting‑edge machine learning and extreme systems engineering under the harshest constraints, we want to talk to you.

• Bachelor’s in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or related field.
• 7 plus years of professional experience shipping production AI/ML systems, ideally in defense, aerospace, or autonomous systems.
• Prior work on DoD cognitive EW programs.
• Deep expertise in high‑performance and real‑time applications (not just scripting wrappers).
• Real‑time and embedded application programming…