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Senior Detection Subsystem Hardware Engineer

Job in Birmingham, Jefferson County, Alabama, 35275, USA
Listing for: EBSCO Industries, Inc.
Full Time position
Listed on 2026-05-15
Job specializations:
  • Engineering
    AI Engineer, Systems Engineer, Electronics Engineer, Hardware Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Headquartered in Birmingham, Alabama, Moultrie () is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real‑time remote monitoring. We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer‑driven – hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.

Job Summary

We’re looking for a Senior Detection Subsystem Engineer to own the full lifecycle of detection technology across our trail camera product line — from PIR signal processing to on‑device AI classification and beyond. You’ll serve as the technical authority on how our cameras sense and respond to wildlife and other subjects, with a mandate to keep Moultrie’s detection capabilities ahead of the market.

This hands‑on leadership role blends hardware, firmware, and applied machine learning, and puts you at the table for critical architectural decisions across product, engineering, and executive stakeholders.

Job Responsibilities Technical Leadership
  • Own the detection subsystem architecture — sensor technology, signal processing, AI inference strategies, and system‑level trade‑offs.
  • Define the multi‑generation detection roadmap with product and engineering leadership.
  • Set standards and best practices; mentor junior and mid‑level engineers.
Detection Technologies
  • Own end‑to‑end PIR subsystem design including sensor selection, Fresnel optic design, sensitivity tuning, and false‑trigger mitigation.
  • Design and tune signal processing pipelines.
  • Lead on‑device AI pipeline development — model selection, edge quantization, and integration with low‑power embedded platforms.
  • Define and track key KPIs: detection range, trigger latency, false positive/negative rates, and power consumption.
Hardware, Integration & Validation
  • Select and qualify PIR sensors, optics, signal conditioning circuits, and AI inference hardware.
  • Partner with mechanical and electrical engineers on sensor placement, thermal shielding, and enclosure design.
  • Own the verification and validation strategy — including automated test frameworks, hardware‑in‑the‑loop rigs, and field validation protocols across diverse environments and target subjects.
  • Maintain defect tracking and root cause analysis; partner with QA and product to validate fixes.
Future Technology & Cross‑Functional Work
  • Research and prototype emerging technologies.
  • Author roadmap proposals and present to engineering and executive stakeholders.
  • Represent the detection subsystem in program reviews; support manufacturing with test fixture design and yield optimization.
Job Requirements What You Bring
  • Bachelor’s or higher in Electrical Engineering, Computer Engineering, Physics, or a related field; advanced degree preferred.
  • 8+ years in embedded hardware/firmware development focused on sensing or detection systems.
  • Deep hands‑on PIR experience: analog front‑end design, signal processing, pyroelectric signal characterization.
  • Proven experience deploying ML/AI models on edge devices (Tensor Flow Lite, ONNX, or similar).
  • Proficiency in C/C++ for embedded firmware; strong low‑power design fundamentals.
  • Experience building verification and validation frameworks including automated test and field validation.
  • Strong communicator with technical and non‑technical audiences.
Preferred
  • Experience with radar sensor modules (TI mmWave, Infineon BGT series) or other non‑optical detection technologies.
  • Familiarity with RTOS environments (FreeRTOS, Zephyr, etc.).
  • Experience training or fine‑tuning computer vision models (YOLO, Mobile Net, Efficient Det) for wildlife or object classification.
  • Background in outdoor, ruggedized consumer electronics or IoT products.
  • Knowledge of PIR Fresnel lens or thermal imaging optics.
  • Experience with schematic review and PCB design.
  • Prior tech lead or mentorship experience; familiarity with IP/patent process.
Why Moultrie

We build products people genuinely care about — tools they take into the field before sunrise and trust to never miss a moment. If you want to do the best work of your career on a team that…

Position Requirements
10+ Years work experience
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