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LEAD SOFTWARE ENGINEER

LOCATION

 Montana

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or

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Remote

EMPLOYMENT TYPE

Permanent

Grizzly Systems builds intelligent monitoring systems for the wild, off-grid world. Our flagship product, GrizCam, combines 360° video, multi-directional audio, environmental sensors, and edge AI to deliver real-time intelligence for conservation, security, and wildlife protection. Our devices support field teams everywhere from Yellowstone to the Amazon—detecting wildlife, stopping poaching, and helping land stewards see what matters. But we're not just another conservation tech company with no business model. We are a security surveillance company, who just happens to also believe in protecting nature.

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We’re hiring a Lead Software Engineer to oversee software development, launch GrizCam portal v2 to production, and co-design next-gen analytics and AI features—e.g. multi-modal Gemini integration and our real-time gunshot detection to combat wildlife and trafficking crime.

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If you love nature, wild places, and meaningful engineering work, you’ll thrive here. And you'll get plenty of time in Yellowstone National Park, one of clients, implementing technology to protect and preserve the world's first national park.

Role Overview

 

As the Lead Software Engineer, you will:

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  • Own and lead development of the Grizzly Systems portal, transforming the existing prototype into a scalable, secure, intuitive platform.

  • Work closely with electrical engineers and firmware developers to integrate the portal with GrizCam telemetry, firmware, acoustic sensors, 360° video, and environmental data streams.

  • Architect and implement multi-modal AI pipelines, including deep integration with Gemini for audio, video, and sensor-based alerting.

  • Support and help advance our acoustics platform, including edge AI gunshot detection—a critical tool used to deter poaching and protect wildlife and public lands.

  • Build systems that can scale from dozens to thousands of deployed devices across challenging, off-grid environments.

  • Shape the full engineering direction of Grizzly Systems as a founding technical leader.

Key Responsibilities

Portal Engineering & Full-Stack Development

  • Lead all software architecture for the Grizzly Systems portal (frontend, backend, API design, cloud services, databases).

  • Elevate our prototype into a robust production system with secure authentication, role-based access, mapping tools, integrated audio/video exploration, and fleet management.

  • Build intuitive UIs for AI alerts, wildlife detections, gunshot events, and environmental monitoring.

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Firmware & Device Integration

  • Develop services with our firmware engineers enabling two-way communication with GrizCam:

    • OTA firmware updates

    • Event ingestion

    • Device health reporting

    • Onboard AI status syncing

  • Engineer cloud–edge workflows that remain reliable in low-connectivity conditions.

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AI & Multi-Modal Intelligence

  • Integrate GrizCam portal with various 3rd party classifiers and world models for multi-modal analysis (audio, video, LLM-based reasoning).

  • Implement pipelines for real-time acoustic detection (wolf howls, vehicles, gunshots, human speech), thermal/video recognition, and sensor fusion.

  • Oversee GrizCam's proprietry edge AI smart filters (aka ANA).

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Data Storage, NoSQL & Infrastructure

  • Architect and optimize data flows for high-volume events across audio, video, and environmental sensors.

  • Build and maintain NoSQL systems suited to large, heterogeneous datasets (e.g., DynamoDB, Firestore, MongoDB, or equivalent).

  • Design vector-based data models for long-term archival, fast retrieval, and cross-sensor correlation.

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AI-Augmented DevOps & Deployment

  • Own CI/CD, infrastructure-as-code, monitoring, and observability, including an integrated agentic AI platform shared between EE and SE teams.

  • Daily, disciplined use of AI coding tools (e.g., code generation, refactoring, test synthesis, log analysis, performance tuning).

  • Experience operating production systems with minimal friction: fast iteration, safe rollouts, rapid rollback.

  • Designs software and processes so two engineers can do what ten used to do. And expects to get paid more for it.

  • Thinks in terms of systems health, not just features shipped.

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Leadership & Collaboration

  • Mentor engineers, establish best practices, and influence product direction.

  • Work closely with our primary conservation partners, law enforcement, wildlife researchers, and landowners to establish subject matter expertise reflected in our priority features.

Setup a time to meet with our CEO Jeff Reed and talk about you and your interest in making a difference at Grizzly Systems.

GrizCam0291_edited.png

You Matter

Required Qualifications​

  • Expertise in modern web stack technologies (TypeScript, React, Node.js, Python or equivalents).

  • Strong backend experience building secure APIs, microservices, and event-driven architectures.

  • Hands-on experience with NoSQL and vector data systems.

  • Experience integrating with hardware, IoT devices, or embedded systems.

  • Familiarity with multi-modal AI (audio, video, transformer models).

  • Comfortable working across frontend, backend, cloud, and DevOps.

  • Google Cloud and/or Microsoft Cloud

  • RTOS

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Preferred Qualifications

  • Real-time event processing (Kafka, Pub/Sub, EventBridge, MQTT).

  • Geospatial visualization (Mapbox, Leaflet).

  • Edge AI or low-power embedded ML experience.

  • Designing and implementing acoustics and computer vision AI models 

  • Previous work in conservation tech, public safety, security systems, or environmental sensing.

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Who You Are

  • You love nature, wild places, and the idea of building technology that protects them.

  • You want your engineering skill to make a clear difference in the world—supporting wildlife conservation, deterring poaching, and improving land stewardship.

  • You enjoy cross-disciplinary challenges spanning hardware, software, AI, and field operations.

  • You want to be part of an early-stage team shaping a platform that blends rugged hardware with frontier AI.

  • You take ownership, move fast, and build clean, scalable systems.

Our Vision

A Personal Message from Jeff, our CEO

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