Axon · 1 hour ago
Staff AI Embedded Software Engineer - Connected Devices
Seattle, WA
Full-time
Hybrid
Lead/Staff
$169K/yr - $270K/yr
12+ years expAxon is on a mission to protect life through its ecosystem of devices and cloud software. The Staff AI Embedded Software Engineer will lead software engineering initiatives for connected devices, influencing AI architecture and ensuring system-wide excellence across multiple product lines.
ElectronicsGovTechHardwareSoftware
Responsibilities
Define and significantly advance embedded software architectures for Axon’s current and future connected device products, including AI-enabled systems spanning on-device inference and cloud-assisted workflows
Lead the technical direction for AI-enabled capabilities across connected devices, including collaboration on large-scale model training, data strategy, deployment, and iterative improvement in production, across multiple product lines
Partner with research, product, and platform teams to explore and integrate emerging AI approaches, including foundation models and multimodal systems, shaping Axon’s medium and long-term AI strategy for connected devices
Establish and enforce Axon-wide standards for embedded software and AI system design, including reliability, scalability, safety, observability, and lifecycle management
Identify and mitigate risks associated with AI systems, including model failure modes, data drift, and operational edge cases, and drive architectural decisions that ensure safe and reliable behavior in real-world conditions
Provide executive-level guidance and mentorship, significantly enhancing the capabilities and technical decision-making of the embedded software engineering teams
Continuously improve software engineering practices and drive excellence through strategic retrospectives, planning sessions, and innovation cycles
Qualification
Required
12+ years of professional software development experience, with extensive expertise in C/C++, Go, Python, or comparable systems programming languages, including significant experience building AI- and data-intensive systems
Deep, demonstrated expertise in embedded systems architecture, firmware integration, and device-level software engineering, combined with hands-on experience deploying and optimizing AI inference workloads on constrained edge platforms (MCUs, SoCs, NPUs)
Proven experience designing, training, and operating machine learning models at scale, including ownership of data pipelines, model evaluation, and iterative improvement in production environments
Practical experience with large-scale AI systems, including foundation models and LLMs, such as fine-tuning, adaptation, or integration into real-world products
Proven track record of addressing and resolving system-wide challenges in performance, scalability, reliability, security, and safety across AI-enabled and mission-critical systems
At least 7+ years mentoring senior engineers and leading complex, strategic engineering initiatives across multiple teams, including setting technical direction for AI-enabled products
Advanced understanding of computer science fundamentals, data structures, algorithms, and high-standard software design practices, applied to both embedded and large-scale AI systems
Experience with networking and distributed system concepts relevant to connected and AI-enabled devices
Benefits
Competitive salary and 401k with employer match
Discretionary paid time off
Paid parental leave for all
Medical, Dental, Vision plans
Fitness Programs
Emotional & Mental Wellness support
Learning & Development programs
And yes, we have snacks in our offices
Company
Axon
Axon provides electronic control devices to law enforcement and corrections agencies.
1001-5000 employees
H1B Sponsorship
Axon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (3)
2023 (7)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$2B2025-03-05Post Ipo Debt· $1.75B
2018-08-07Post Ipo Equity· $246M
2001-06-07IPO
Leadership Team
Jay Reitz
SVP Software Engineering
Anthony Baldoni
VP Strategic Initiatives
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