5 months ago
Base Salary
$160k - $256k/yr
Responsibilities
- Own end-to-end AI system development across data pipelines, model development, evaluation, and deployment.
- Design and build scalable production systems for real-time perception, multimodal understanding, and decision-making.
- Develop and deploy models across cloud and resource-constrained edge environments.
- Architect and optimize full-stack AI pipelines and translate research advances into production systems.
- Collaborate with machine learning, hardware, firmware, and product teams to integrate AI into real-world systems.
- Optimize solutions for GPU, NPU, and DSP hardware acceleration and edge deployment.
- Define evaluation frameworks and metrics for system performance, reliability, and safety.
- Lead technical direction for complex problems and influence architecture across teams.
- Contribute to technical design documents, knowledge sharing, and long-term platform strategy.
Requirements
- Master’s or PhD in Computer Science, Electrical Engineering, or a related field.
- At least 8 years of industry experience building production systems for the L8 level or 10 years for the L9 level.
- Strong programming skills in Python and C++ and experience with PyTorch or TensorFlow.
- Proven experience delivering end-to-end systems from concept through production.
- Expertise in distributed systems or cloud-based ML pipelines and in optimizing models for latency, cost, and deployment constraints.
- Experience deploying AI in cloud environments and on edge devices, including mobile, embedded, or robotics platforms.
- Experience with hardware acceleration, real-time systems, streaming data pipelines, or multimodal data processing.
- Strong system design and architecture skills across cloud and edge environments.
- Preferred experience with technical leadership, mentoring, cross-team initiatives, privacy-preserving AI, security, or safety-critical systems.
Benefits
- Competitive salary and 401k with employer match.
- Discretionary paid time off and paid parental leave for all.
- Medical, dental, and vision plans.
- Fitness programs and emotional and mental wellness support.
- Learning and development programs.
- Office snacks.
- Seattle-based hybrid schedule with onsite work Tuesday through Friday and remote flexibility on Mondays.
Categories
About Axon
Axon builds TASER energy devices, body and in-car cameras, sensors, and a cloud software suite for managing evidence, records, and real-time operations used by law enforcement, public safety agencies, and enterprises. Revenue comes from hardware sales bundled with SaaS subscriptions and services across its Axon Evidence and Records platforms. Founded in 1993 and headquartered in Scottsdale, Arizona, Axon Enterprise is a NASDAQ-listed public company serving police departments and government customers globally.