Sr. Full Stack Member of Technical Staff

Axon•Seattle, WA

1d•Hybrid

About The Position

We are seeking multiple highly skilled Full-Stack members of Technical Staff (MTS) to join our CoreAI organization, driving end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical and Robotics platforms. This role goes beyond pure research. You will operate across the full stack, from data, models, and infrastructure to system integration and production deployment, to deliver scalable, real-world AI solutions. You will work on cutting-edge applications spanning computer vision, NLU, multimodal AI (MLLMs), and GenAI, enabling intelligent perception, reasoning, and action in mission-critical environments. As a senior technical leader, you will partner closely with research scientists, machine learning engineers, hardware, firmware, and product teams to translate advanced algorithms into robust, production-ready systems that operate reliably at scale.

Requirements

Master’s, or PhD in Computer Science, Electrical Engineering, or related field
8+ years (L8) or 10+ years (L9) of industry experience building production systems
Strong programming skills in Python/C++ and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Proven experience delivering end-to-end systems from concept to production
Deep expertise in one or more areas: Experience building and scaling distributed systems or cloud-based ML pipelines
Experience optimizing models for latency, cost, and deployment constraints

Nice To Haves

Experience deploying AI both on Cloud (AWS, AzureML), edge devices (e.g., mobile, embedded systems, robotics platforms on Qualcomm, NVIDIA, Intel)
Familiarity with hardware acceleration frameworks (TensorRT, ONNX, SNPE, etc.)
Experience with real-time systems and streaming data pipelines
Knowledge of multimodal data processing (vision, audio, text, sensor fusion)
Experience with AWS or other cloud platforms for large-scale inference and training
Strong system design and architecture skills across cloud ↔ edge environments
Track record of technical leadership, mentoring, and driving cross-team initiatives
Experience in privacy-preserving AI, security, or safety-critical systems

Responsibilities

Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products.
Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making.
Develop and deploy models across cloud and edge environments, including resource-constrained devices.
Architect and optimize full-stack AI pipelines, including: Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems.
Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems.
Optimize solutions for hardware-specific acceleration (GPU, NPU, DSP) and edge deployment.
Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety.
Lead technical direction for complex, ambiguous problems and influence system architecture across teams.
Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy.