Staff AI Embedded Software Engineer - Connected Devices
$168,750–$270,000 year
Hybrid · Seattle, Washington, United States or Boston, Massachusetts, United States
Job Summary
Lead embedded software architecture for Axon’s AI-enabled connected devices (including body-worn, in-car, stationary cameras, drones) and guide AI strategy across product lines. Define reliability, scalability, safety, and observability standards; mentor engineering teams; drive production ML workflows from model training to deployment; collaborate with cross-functional partners to advance on-device inference and cloud-assisted AI, balancing performance with real-world constraints.
Required Qualifications
- 12+ years of professional software development experience
- expertise in C/C++, Go, Python or comparable systems programming languages
- embedded systems architecture and firmware integration experience
- hands-on experience deploying and optimizing AI inference workloads on edge platforms (MCUs, SoCs, NPUs)
- experience designing, training, and operating machine learning models at scale
- experience with large-scale AI systems including foundation models and LLMs
- proven track record addressing performance, scalability, reliability, security, and safety in AI-enabled systems
- at least 7+ years mentoring senior engineers and leading complex engineering initiatives across multiple teams
- strong fundamentals in computer science, data structures, and algorithms
- experience with networking and distributed systems relevant to connected devices
- ability to collaborate with research, product, and platform teams to shape AI strategy
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