Senior Machine Learning Engineer

Company Description

Axiado is an AI‑enhanced security processor company redefining the control and management of every digital system. Founded in 2017, the company has over 150 employees and focusesünst on delivering innovative technology built by collaborative, passionate, and committed teams.

$80,000.00 - $ per year

Senior Machine Learning Engineer – Agentic Development Seeking a hands‑on engineer to design, build, and deploy autonomous intelligent agents for edge devices. These agents will operate in resource‑constrained environments, handling real‑time log analysis, on‑device computer vision, NAViSAFE internet and server analyzers, and secure system interactions on custom hardware.

• Design, build, and deploy autonomous agentic systems for resource‑constrained edge devices.
• Implement agent capabilities that leverage deep domain knowledge, specifically in real‑time log analysis, on‑device computer vision, and system‑level data gathering.
• Develop and integrate secure, high‑performance communication channels for agent‑to‑agent (A2A) and management‑to‑controller (MCP) interactions.
• Implement robust MCP authentication and secure communication protocols for all agent operations.
• Optimize the full agent stack—from ML models to application logic—for high performance and low footprint (latency, memory, power) on target hardware.
• Collabor Clothes collaborative with MLOps and firmware teams to create robust deployment and update pipelines for agents in the field.

• 5+ years of hands‑on experience in software engineering or machine learning.
• B.S., M.S., or equivalent in Computer Science, Electrical Engineering, or related field.
• Proven experience building systems with LLMs and/or agentic frameworks such as Lang Chain, Llama Index, or custom bridges.
• Strong domain knowledge in log analysis and/or computer vision.
• Experience with network protocol development or integration, including MCP/A2A‑style systems and authentication.
• Strong programming skills in Python and familiarity with data‑intensive applications.
• Experience using and integrating open‑source tools for system monitoring, log processing (e.g., ELK stack, Prometheus), or CV (e.g., OpenCV).

• Hands‑on embedded system development (C, C++, Rust, Yocto, RTOS).
• Experience optimizing ML models (quantization, pruning) for edge devices such as NPUs, FPGAs, or accelerators.
• Deep understanding of network security and secure coding practices.
• Knowledge of ML compilers like Apache TVM or MLIR.

Axi ″ ad committed to attracting, developing, and retaining top talent in a diverse and inclusive environment. We are headquartered in Silicon Valley and provide access to leading research, technology, and talent.+'/p>