Sr. Full Stack Member of Technical Staff

Overview Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We pursue critical safety and justice issues with our ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful, with ownership and opportunities to drive real change and grow. Your impact: 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 spans data, models, and infrastructure to system integration and production deployment, delivering scalable, real-world AI solutions. You will work on applications spanning computer vision, natural language understanding, multimodal AI (MLLMs), and GenAI to enable intelligent perception, reasoning and action in mission-critical environments. As a senior technical leader, you will partner with research scientists, ML engineers, hardware, firmware, and product teams to translate advanced algorithms into robust, production-ready systems that operate reliably at scale. Why This Role You will have the opportunity to own and shape end-to-end AI systems that operate in real-world environments, bridging cutting-edge research and production deployment. This role is ideal for engineers who thrive at the intersection of AI, systems, and product, and want to build scalable, high-impact solutions across cloud and edge. What You'll Do Location: anywhere Axon Engineering Hub locations, including US, Vietnam, EU. See EU: Finland, Belgium, UK 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 documents, internal knowledge sharing, and long-term platform strategy. Basic Qualifications 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 Preferred Qualifications 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 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 Benefits listed herein may vary depending on the nature of your employment and the location where you work. Location This role is based out of our Tampere, Finland office and follows a hybrid schedule. In-person collaboration is expected Tuesday through Friday, with flexibility to work remotely on Mondays. Don’t meet every single requirement? That’s okay. At Axon, we Aim Far and think big with a long-term view to reinvent the world to be a safer, better place. We are committed to building diverse teams that reflect the communities we serve. EEO note: Axon is an equal opportunity employer promoting justice, equity, diversity and inclusion. If you require accommodation during the application or recruiting process, please email View email address on click.appcast.io. This email is for accommodation purposes only. Phishing alert: Axon will never ask you to pay for any part of the hiring process. All legitimate job openings are listed on our official careers page at #J-18808-Ljbffr National Society for Black Engineers