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

ZEDEDA Inc · San Jose, CA, United States · On Site · Active · $120,000–$140,000 / year · Rippling ATS

Job facts

Field	Value
Company	ZEDEDA Inc
Title	Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA
Normalized title	-
Department / team	Engineering
Location	San Jose, CA, United States
Work model	On Site
Employment type	Temporary
Salary	$120,000–$140,000 / year
Status	active
ATS provider	Rippling ATS
Posted / first seen	2026-05-27 / 2026-06-04
Changed / last seen	2026-06-06 / 2026-06-06

Related slices

Page	What it contains	Open
Company jobs	Active postings from ZEDEDA Inc.	Open
Company breakdowns	Role, location, ATS, and work model facets for this company.	Open
ATS provider jobs	Active postings observed through Rippling ATS.	Open
Provider filtered search	The same provider as a filtered job collection.	Open
City jobs	Active postings in San Jose.	Open
Department jobs	Active postings in Engineering.	Open
Work model jobs	Active On Site postings.	Open
Lifecycle events	Open, update, close, and reopen events for this posting.	Open
Original posting	Canonical source or apply URL captured from the ATS.	Open

Linked records

Company	ZEDEDA Inc
Source	c480defc-6e24-4282-a4e9-7f47a0771ac3
ATS provider	Rippling ATS

Description

company 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 Role Summary This is a Temp to Perm and requires you to be onsite in 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.

Full job record

Job ID	22cfd1e91d12cb1c8934a60dfc3348220321ed14
Org ID	f8472cb9-5eea-4d31-9761-144a20579c1d
Source ID	c480defc-6e24-4282-a4e9-7f47a0771ac3
Board ID	c480defc-6e24-4282-a4e9-7f47a0771ac3
Provider	rippling
Provider Job Key	3e34a738-5eb1-405d-b46b-e9737226f5be
Title	Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA
Normalized Title	—
Status	active
Active	yes
Location Text	San Jose, CA, United States
Department	Engineering
Team	—
Employment Type	temporary
Workplace Type	on_site
Remote Policy	—
Country	United States
Region	CA
City	San Jose
Salary Raw	base pay range is $120,000-$140,000 Why ZEDEDA ZEDEDA offers competitive salary, performance-based bonuses, compreh
Salary Min	120,000
Salary Max	140,000
Salary Currency	USD
Salary Period	year
Source URL	https://ats.rippling.com/zededa/jobs/3e34a738-5eb1-405d-b46b-e9737226f5be
Apply URL	https://ats.rippling.com/zededa/jobs/3e34a738-5eb1-405d-b46b-e9737226f5be
First Seen At	2026-06-04 11:13:34Z
Last Seen At	2026-06-06 08:46:15Z
Last Checked At	2026-06-06 08:46:15Z
Last Changed At	2026-06-06 08:46:15Z
Inactive At	—
Source Posted At	2026-05-27 17:26:03Z
Source Updated At	—
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      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:14pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(26,82,118);font-size:14pt;white-space:pre-wrap;\">Role Summary</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">This is a Temp to Perm and requires you to be onsite in 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. </strong></b><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">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.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">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.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:19pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(26,82,118);font-size:14pt;white-space:pre-wrap;\">Core Responsibilities: </strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Design, develop, and maintain software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Build and extend Kubernetes controllers, operators, and Custom Resource Definitions (CRDs) to support AI workload scheduling and deployment at the edge.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Work with ONNX, GenAI, and ML models — integrating them into production-ready pipelines and edge environments.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Use AI coding agents (Claude Code, Copilot, Codex, etc.) as first-class tools in your daily development workflow.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Participate in design discussions, write clean code, submit pull requests, and iterate rapidly based on feedback.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Contribute to open-source components related to ZEDEDA's platform and the broader cloud-native ecosystem.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Write and maintain Helm charts for deploying services into Kubernetes clusters.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Collaborate with cross-functional teams across AI, infrastructure, and product to ship features end-to-end.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(26,82,118);font-size:14pt;white-space:pre-wrap;\">Qualifications:</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(44,62,80);font-size:12pt;white-space:pre-wrap;\">Required:</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Bachelor's or Master's degree in Computer Science, AI/ML, or a related technical field — or equivalent practical experience.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Foundational knowledge of machine learning concepts: neural networks, deep learning, model training and inference, and attention mechanisms (self-attention / transformers).</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Familiarity with ONNX models, GenAI model architectures, or frameworks like PyTorch or TensorFlow.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">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.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Comfort working with Git, submitting pull requests, reading diffs, and collaborating in a version-controlled environment.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Ability to work with vague or evolving problem statements and drive toward clarity independently.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Language-agnostic development mindset — you pick the right tool for the job and learn what you don't know.</span></li><li style=\"color:rgb(44,62,80);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Comfortable with basic Linux commands and shell scripting.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(44,62,80);font-size:12pt;white-space:pre-wrap;\">Preferred:</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Hands-on experience with Kubernetes advanced constructs: Custom Resource Definitions (CRDs), Operators, Controllers, and the kubeconfig API.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">CKA (Certified Kubernetes Administrator) or CKD certification, or active preparation for it.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Experience with AI agent frameworks: LangChain, LangGraph, LangFuse, or similar.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Demonstrated use of AI coding tools (Claude Code, GitHub Copilot, OpenAI Codex) in real development workflows — not just familiarity, but fluency.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Prior contribution to, or porting of, open-source projects.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Experience with CI/CD systems: Jenkins, CircleCI, GitHub Actions, or similar.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Familiarity with AWS or Azure tooling.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Knowledge of cloud-native technologies: Kafka, REST APIs, SSO/OAuth, microservices patterns.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Exposure to Helm chart authoring, not just usage.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Awareness of edge computing concepts, IoT, or distributed systems.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">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.</span></li><li style=\"color:rgb(44,62,80);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(44,62,80);font-size:11pt;white-space:pre-wrap;\">Familiarity with ArgoCD or other GitOps-based continuous delivery tools for Kubernetes.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(26,82,118);font-size:13pt;white-space:pre-wrap;\">Pay &amp; Benefits</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:9.5pt;white-space:pre-wrap;\">At ZEDEDA, base pay is one part of our total compensation package and is determined within a range.&nbsp; This provides the opportunity to progress as you grow and develop within a role.&nbsp; Base pay is determined by&nbsp; considering your skills, qualifications, experience, and location</span><span style=\"color:rgb(26,82,118);font-size:13pt;white-space:pre-wrap;\">. </span><span style=\"color:rgb(0,0,0);font-size:9.5pt;white-space:pre-wrap;\">For this role the base pay range is $120,000-$140,000</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(26,82,118);font-size:13pt;white-space:pre-wrap;\">Why ZEDEDA</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:9.5pt;white-space:pre-wrap;\">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.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
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