5 months ago
Base Salary
$160k - $256k/yr
Responsibilities
- Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products
- Design and build scalable production 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
- Translate advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems
- Collaborate with machine learning, hardware, firmware, and product teams to integrate AI into real-world systems
- Optimize solutions for hardware-specific GPU, NPU, and DSP 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 documentation, knowledge sharing, and long-term platform strategy
Requirements
- Master’s or PhD in Computer Science, Electrical Engineering, or a related field
- 8+ years of industry experience for L8 or 10+ years for L9 building production systems
- Strong programming skills in Python or C++ and experience with PyTorch or TensorFlow
- Proven experience delivering end-to-end systems from concept through production
- Experience with distributed systems or cloud-based ML pipelines
- Experience optimizing models for latency, cost, and deployment constraints
- Experience deploying AI on cloud platforms and edge devices, including mobile, embedded systems, or robotics platforms
- Familiarity with hardware acceleration frameworks such as TensorRT, ONNX, and SNPE
- Experience with real-time systems, streaming data pipelines, and 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
- Paid parental leave for all
- Medical, Dental, and Vision plans
- Fitness programs
- Emotional and mental wellness support
- Learning and development programs
- Office snacks
- Hybrid schedule based in Boston, MA, 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.