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Staff AI Embedded Software Engineer - Connected Devices
AAxon
Summary by AIEngineer.careers
Staff AI Embedded Software Engineer - Connected Devices is a AI Engineer role (full-time). with Axon. in SEATTLE, US. Compensation shown: $169K–$270K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
SEATTLE · US
$169K–$270K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Axon is seeking a Staff AI Embedded Software Engineer to lead AI initiatives on connected devices, defining architectures for on-device inference and cloud integration. This role involves setting technical direction, mentoring engineers, and ensuring system-wide excellence in stability, scalability, security, and performance.
Responsibilities
- Define and advance embedded software architectures for AI-enabled connected devices, including on-device inference and cloud-assisted workflows.
- Lead technical direction for AI capabilities across product lines, collaborating on model training, data strategy, deployment, and iterative improvement.
- Partner with research, product, and platform teams to integrate emerging AI approaches like foundation models and multimodal systems.
- Establish standards for AI system design, including reliability, scalability, safety, observability, and lifecycle management.
- Identify and mitigate risks in AI systems, such as model failure modes and data drift.
- Provide executive-level guidance and mentorship to embedded software engineering teams.
Requirements
- 12+ years of professional software development experience with C/C++, Go, Python, or similar systems languages.
A
Axon
Scottsdale · US · 3938+ employees
Axon is a global leader in public safety technology, providing an ecosystem of advanced devices, intelligent software, and AI-powered solutions designed to protect life. Their offerings support law enforcement, government agencies, and enterprise security with tools ranging from energy devices to cloud-based evidence management systems.
