Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA
Core Responsibilities
Design, develop, and maintain software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.
Build and extend Kubernetes controllers, operators, and Custom Resource Definitions (CRDs) to support AI workload scheduling and deployment at the edge.
Work with ONNX, GenAI, and ML models — integrating them into production-ready pipelines and edge environments.
Use AI coding agents (Claude Code, Copilot, Codex, etc.) as first-class tools in your daily development workflow.
Participate in design discussions, write clean code, submit pull requests, and iterate rapidly based on feedback.
Contribute to open-source components related to ZEDEDA's platform and the broader cloud-native ecosystem.
Write and maintain Helm charts for deploying services into Kubernetes clusters.
Collaborate with cross-functional teams across AI, infrastructure, and product to ship features end-to-end.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field — or equivalent practical experience.
- Foundational knowledge of machine learning concepts: neural networks, deep learning, model training and inference, and attention mechanisms (self-attention / transformers).
- Familiarity with ONNX models, GenAI model architectures, or frameworks like PyTorch or TensorFlow.
- Practical exposure to Kubernetes — understanding of pods, deployments, services, namespaces, and controllers. Familiarity with lightweight Kubernetes distributions such as k3s is a plus, particularly in the context of resource-constrained edge environments.
- Comfort working with Git, submitting pull requests, reading diffs, and collaborating in a version-controlled environment.
- Ability to work with vague or evolving problem statements and drive toward clarity independently.
- Language-agnostic development mindset — you pick the right tool for the job and learn what you don't know.
- Comfortable with basic Linux commands and shell scripting.
Paid Time Off
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. Base pay is determined by considering your skills, qualifications, experience, and location. For this role the base pay range is $120,000-$140,000
Why ZEDEDA
ZEDEDA offers competitive salary, performance-based bonuses, comprehensive medical benefits, hybrid work flexibility, and meaningful opportunities for technical growth and advancement. Engineers at every level have access to AI productivity tools, on the job learning, and a culture that celebrates curiosity and experimentation - because at ZEDEDA, impact matters more than activity, and learning is never optional.
Engineering
San Jose, CA