Senior Embedded Engineer (Edge AI)

Location: San Carlos, United States; hybrid

Company

hirify.global builds solar-powered, AI-assisted traffic cameras that automate traffic-law enforcement and improve road safety.

What you will do

• Own the production embedded vision stack, including camera capture, media pipelines, model inference, tracking, device services, and cloud interfaces.
• Design reliable software for constrained resources, long uptimes, fault recovery, data integrity, and remote diagnostics.
• Build observability for deployed devices through metrics, logs, traces, crash data, health signals, and diagnostic tools.
• Lead safe fleet releases with versioning, staged rollouts, compatibility checks, rollback, and over-the-air updates.
• Drive architecture and technical decisions across embedded Linux, hardware, vision, backend, and product boundaries.
• Respond to production incidents, identify root causes, mentor engineers, and establish standards for performance, reliability, testing, and maintainability.

Requirements

• 7+ years of experience building and operating production embedded or edge systems.
• Strong C/C++ skills and deep experience with embedded Linux, concurrency, IPC, networking, storage, and system-level debugging.
• Hands-on experience deploying computer-vision or machine-learning inference on edge devices.
• Experience with camera and image pipelines such as V4L2, GStreamer, codecs, synchronization, and calibration.
• Experience optimizing models with production runtimes or accelerators such as TensorRT, SNPE, OpenVINO, or TFLite.
• Clear communication, technical leadership, production judgment, and ownership across ambiguous cross-functional work.

Nice to have

• Experience with Qualcomm SNPE, GPU/NPU-based edge platforms, multi-camera systems, sensor fusion, real-time perception, or video analytics.
• Experience with secure boot, device identity, signed updates, or connected-device hardening.
• Experience operating outdoor, automotive, robotics, IoT, or other ruggedized products at fleet scale.

Culture & Benefits

• Small, experienced team where senior engineers have meaningful technical influence.
• Fast-moving startup environment with significant ownership.
• Opportunity to build edge AI systems that directly improve road safety.
• Series A company backed by $54M in funding.
• Competitive compensation and early-stage equity.