ZipRecruiter

Log In

1

Temporary Edge Computing Jobs in California (NOW HIRING)

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

We are a collaborative team focused on building something extraordinary in the edge computing space. The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

We are a collaborative team focused on building something extraordinary in the edge computing space. The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

quadric, Inc

Design Verification Intern

Burlingame, CA · On-site

$45 - $60/hr

We are a collaborative team focused on building something extraordinary in the edge computing space. The hourly rate for this temporary internship position is $45.00/hour to $60.00/hour. The actual ...

Ampere Computing LLC

Endpoint Manager

Santa Clara, CA · On-site

$172K - $258K/yr

... computing for AI, Cloud, and edge applications. Join us at Ampere and work alongside a passionate ... temporary privilege elevation. * Performance & Health Analytics: Leverage telemetry from ...

next page

Showing results 1-20

All JobsTemporary Edge Computing JobsTemporary Edge Computing Jobs in California

Temporary Edge Computing information

What is the meaning of temporary away?

In the context of temporary edge computing jobs, 'temporary away' typically refers to periods when an employee is not actively working on-site or remotely due to scheduled leave, training, or project breaks. It indicates a temporary absence from work responsibilities, often requiring communication or approval from supervisors. Such statuses are managed through scheduling tools and may impact workload planning.

What is a word for temporary?

A common word for temporary is 'short-term' or 'transient.' In the context of edge computing jobs, temporary positions often require quick onboarding and may involve contract or project-based work. These roles typically last from a few days to several months depending on project needs.

What is the meaning of temporary?

In the context of a temporary edge computing job, 'temporary' refers to a position that is limited in duration, often lasting from a few days to several months. These roles typically do not offer permanent employment benefits and are suitable for short-term projects or to meet specific operational needs.

What is the difference between Temporary Edge Computing vs Temporary Network Technician?

AspectTemporary Edge ComputingTemporary Network Technician
Required CredentialsCertifications in edge computing, networking, or cloud platformsCertifications in networking, Cisco, CompTIA Network+
Work EnvironmentDistributed, on-site at edge locations, often in remote areasIndoor data centers, server rooms, or on-site at client premises
Employer & Industry UsageTech companies, IoT providers, cloud service providersTelecom, IT services, enterprise networks

Temporary Edge Computing professionals focus on deploying and managing computing resources at network edges, often in remote or distributed environments. In contrast, Temporary Network Technicians primarily install, troubleshoot, and maintain network infrastructure in data centers or client sites. Both roles require technical certifications and are vital in their respective industries, but they differ in work environment and specific skill sets.

What are the most commonly searched types of Edge Computing jobs in California? The most popular types of Edge Computing jobs in California are:
What are popular job titles related to Temporary Edge Computing jobs in California? For Temporary Edge Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Temporary Edge Computing jobs in California look for? The top searched job categories for Temporary Edge Computing jobs in California are:
What cities in California are hiring for Temporary Edge Computing jobs? Cities in California with the most Temporary Edge Computing job openings:
Temporary Edge Computing jobs near you
Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA

Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA

Zededa

San Jose, CA • On-site

Temporary

Posted 29 days ago

Job description

About ZEDEDA
ZEDEDA unlocks the value of AI where it matters most, enabling enterprises to create, secure and operate edge AI at scale. ZEDEDA's Edge Intelligence products and solutions are used by global distributed enterprises to rapidly realize and deploy autonomous intelligence wherever they operate, turning real-time data into real and tangible business outcomes and decisions. 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.
Role Summary
This is a Temp to Perm. This is a hybrid role requiring three days per week onsite at our San Jose office. This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States without employer sponsorship, now and in the future. We're looking for a curious, self-driven entry level Software Engineer who sits at the intersection of AI and cloud-native infrastructure. You'll work alongside experienced engineers on real-world problems in edge orchestration - problems that are often loosely defined, fast-moving, and require you to think from first principles. You bring energy, adaptability, and a genuine enthusiasm for using AI tools and technologies, both as the subject of your work and as instruments in how you work every day.
This role for a recent graduate or someone with up to two years of industry experience. You won't be handed a perfectly scoped ticket - you'll be trusted to figure things out.
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:
Required:
  • 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.

Preferred:
  • Hands-on experience with Kubernetes advanced constructs: Custom Resource Definitions (CRDs), Operators, Controllers, and the kubeconfig API.
  • CKA (Certified Kubernetes Administrator) or CKD certification, or active preparation for it.
  • Experience with AI agent frameworks: LangChain, LangGraph, LangFuse, or similar.
  • Demonstrated use of AI coding tools (Claude Code, GitHub Copilot, OpenAI Codex) in real development workflows - not just familiarity, but fluency.
  • Prior contribution to, or porting of, open-source projects.
  • Experience with CI/CD systems: Jenkins, CircleCI, GitHub Actions, or similar.
  • Familiarity with AWS or Azure tooling.
  • Knowledge of cloud-native technologies: 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 edge AI hardware platforms and inference infrastructure: NVIDIA Jetson (Jetpack SDK), Qualcomm IQ9, NVIDIA Triton Inference Server, vLLM, or similar model serving frameworks.
  • Familiarity with ArgoCD or other GitOps-based continuous delivery tools for Kubernetes.

Pay & Benefits
At ZEDEDA, 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.

Apply