Zededa
Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA
San Jose, CA
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($120,000) is below the Level I prevailing wage of $152,797. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Jose-Sunnyvale-Santa Clara, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Trusted by the world's largest organizations, ZEDEDA is backed by world-class investors, with teams in the United States, Germany, India, and the United Arab Emirates.
- For more information, visit www.ZEDEDA.ai.
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.
- Participate in design discussions, write clean code, submit pull requests, and iterate rapidly based on feedback.
- 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.
Requirements
- Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field - or equivalent practical experience.
- Familiarity with ONNX models, GenAI model architectures, or frameworks like PyTorch or TensorFlow.
- Comfort working with Git, submitting pull requests, reading diffs, and collaborating in a version-controlled environment.
- Hands-on experience with Kubernetes advanced constructs: Custom Resource Definitions (CRDs), Operators, Controllers, and the kubeconfig API.
- Experience with AI agent frameworks: LangChain, LangGraph, LangFuse, or similar.
- Experience with CI/CD systems: Jenkins, CircleCI, GitHub Actions, or similar.
- Familiarity with AWS or Azure tooling.
- Knowledge of cloud-native
- Knowledge of cloud-native technologies: Kafka, REST APIs, SSO/OAuth, microservices patterns.
- Familiarity with edge AI hardware platforms and inference infrastructure: NVIDIA Jetson (Jetpack SDK), Qualcomm IQ9, NVIDIA Triton Inference Server, vLLM, or similar model serving frameworks.
Nice to have
- 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.
Skills
- Kafka, REST APIs, SSO/OAuth, microservices patterns.
- Exposure to Helm chart authoring, not just usage.
- Awareness of edge computing concepts, IoT, or distributed systems.
- Familiarity with ArgoCD or other GitOps-based continuous delivery tools for Kubernetes.
- Pay & Benefits
- Base pay is determined by considering your skills, qualifications, experience, and location.
- For this role the base pay range is $120,000-$140,000
Compensation
- $120k-$140k
Company info
- We're looking for a curious, self-driven entry level Software Engineer who sits at the intersection of AI and cloud-native infrastructure.
Visa & Work Authorization
- This position is not eligible for visa sponsorship
This listing is sourced directly from Zededa's careers page and normalized into a canonical job model.