Defense / Edge Tech Lead

📋 Description

• Lead edge deployment strategy for STT/TTS on-device, on-prem, air-gapped across hardware targets.
• Optimize models for edge: quantization, pruning, distillation, and runtime tuning for latency, memory, and power.
• Partner with Qualcomm, Motorola, and vendors for efficient chipsets, SDK integration, benchmarking, and joint go-to-market.
• Support defense customers via AWS NatSec partnerships; translate mission needs into engineering deliverables.
• Design and build edge runtime infrastructure: packaging, deployment pipelines, OTA updates, telemetry for low-connectivity devices.
• Harden deployments for security-sensitive environments: secure boot, encrypted storage, tamper detection, audit logging.

🎯 Requirements

• 5+ years of experience in systems engineering, embedded computing, or edge AI deployment with production hardware.
• Strong proficiency in C, C++, and/or Rust; writing performance-critical code for constrained environments.
• Hands-on experience with edge model optimization: quantization, pruning, distillation, or architecture-specific compilation.
• Familiarity with ONNX Runtime, TensorRT, TFLite, or vendor SDKs (Qualcomm SNPE/QNN, MediaTek NeuroPilot).
• Experience with security-conscious development practices: secure boot, encrypted storage, code signing, and secure deployment pipelines.
• Strong understanding of hardware-software interaction: CPU/GPU/NPU architectures, memory hierarchies, power management, and impact on inference performance.

🎁 Benefits

• Medical, dental, vision benefits
• Annual wellness stipend
• Mental health support
• Unlimited PTO
• Generous paid parental leave
• 401(k) plan with company match