Your ImpactWe 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.
Why This RoleYou will have the opportunity to own and shape end-to-end AI systems that operate in real-world environments, bridging the gap between cutting-edge research and impactful 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 DoLocation: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)
- US: Seattle, Boston, Scottsdale
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.
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 14 edge environments
- Track record of technical leadership, mentoring, and driving cross-team initiatives
- Experience in privacy-preserving AI, security, or safety-critical systems
Benefits that Benefit You- 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 Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Base Pay Range
$159,750-$255,600 USD
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important NotesThe above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
