Axiado Corporation · 2 months ago
Senior ML Ops Engineer
San Jose, CA, USA
Full-time
Onsite
Mid, Senior Level
$80K/yr - $200K/yr
5+ years expAxiado Corporation is an AI-enhanced security processor company redefining the control and management of every digital system. They are seeking a Senior MLOps Engineer to own and build the end-to-end machine learning lifecycle, focusing on secure and reliable deployment to edge devices while ensuring models are fast, trusted, and continuously improving.
AI InfrastructureArtificial Intelligence (AI)Cloud SecurityCyber SecurityHardwareNetwork SecuritySemiconductor
Responsibilities
Architect and implement scalable data processing pipelines for ingesting, validating, and versioning massive datasets (e.g., using DVC, Pachyderm, or custom S3/Artifactory solutions)
Design and build the infrastructure for our Human-in-the-Loop (HITL) and AI-in-the-Loop (Active Learning)data labeling systems. This includes creating the feedback loops that identify high-value data for re-labeling
Conduct deep data analysis to identify data drift, dataset bias, and feature drift, ensuring the statistical integrity of our training and validation sets
Design and deploy lightweight, on-device telemetry agents to monitor inference quality and concept drift, not just operational metrics
Implement statistical monitoring on model outputs (e.g., confidence distributions, output ranges) and create automated alerting systems to flag model degradation
Build the backend dashboards (e.g., Grafana, custom dashboards) to aggregate and visualize on-device performance and quality metrics from a fleet of edge devices
Build and maintain a robust CI/CD pipeline (e.g., GitLab CI, Jenkins, GitHub Actions) that automates model training, conversion, quantization (PTQ/QAT), and packaging
Manage the model conversion process, translating models from PyTorch/TensorFlow into optimized formats (e.g., ONNX, TFLite) for our AI inference engine
Orchestrate model deployment to edge devices, managing model versioning and enabling reliable Over-the-Air (OTA) updates
Implement a robust model verification framework using cryptographic signatures to ensure entity verification(i.e., that the model running on-device is the one we deployed)
Design and apply security protocols (e.g., secure boot, model encryption) to prevent model injection attacks and unauthorized model tampering on the device
Collaborate with firmware and hardware security teams to ensure our MLOps pipeline adheres to a hardware root of trust
Analyze and optimize ML model performance for our specific AI inference engine
Apply graph-level optimizations (e.g., operator fusion, pruning) and OP-level optimizations (e.g., rewriting custom ops, leveraging hardware-specific data types) to maximize throughput and minimize latency
Qualification
Required
5+ years of experience in MLOps, DevOps, or Software Engineering with a focus on ML systems
Proven experience building and managing the full MLOps lifecycle, from data ingestion to production monitoring
Strong programming skills in Python and deep experience with ML frameworks (e.g., PyTorch, TensorFlow)
Demonstrable experience with model conversion and optimization for edge devices (e.g., using ONNX, TFLite, TensorRT, or Apache TVM)
Strong understanding of data engineering principles and experience with data-labeling strategies (HITL/Active Learning)
Excellent understanding of CI/CD principles and tools (e.g., Git, Docker, GitLab CI)
Preferred
Hands-on experience with Kubernetes (K8s) for MLOps orchestration (e.g., Kubeflow, Argo Workflows)
Familiarity with GPU scheduling and virtualization platforms such as Run:AI
Proficiency in managing MLOps infrastructure on at least one major cloud platform (AWS, GCP, Azure)
Experience with embedded systems security, cryptographic signing, or hardware security modules (HSMs)
Experience in C++ for deploying high-performance inference code
Company
Axiado Corporation
Axiado is a leading hardware-anchored platform security solutions company deploying a novel, AI-driven approach to platform security against ransomware, supply chain, side-channel, and other cyberattacks in the growing ecosystem of cloud data centers, 5G networks, and other disaggregated compute networks.
51-200 employees
H1B Sponsorship
Axiado Corporation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (3)
2023 (7)
2022 (11)
Funding
Current Stage
Growth StageTotal Funding
$205MKey Investors
Maverick SiliconOrbit Venture Partners
2025-12-02Series C· $100M
2024-12-04Series C· $60M
2021-02-25Series B· $25M
Leadership Team
Gopi Sirineni
Founder, President & Chief Executive Officer
Recent News
alleywatch.com
2025-12-09
2025-12-05
Company data provided by crunchbase