{"id":799383,"url":"https://alion.io/job/zededa-software-engineer-ai-edge-kubernetes-orchestration-san-jose-ca","title":"Software Engineer - AI & Edge Kubernetes Orchestration - San Jose, CA","company":{"id":689426,"name":"ZEDEDA","domain":"zededa.com","url":"https://alion.io/company/zededa","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Edge AI","optional":false},{"name":"Helm","optional":false},{"name":"K3s","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"ONNX","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"PyTorch","optional":false},{"name":"Self-Attention","optional":false},{"name":"TensorFlow","optional":false},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"ArgoCD","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"CircleCI","optional":true},{"name":"Git","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitOps","optional":true},{"name":"Jenkins","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"LangGraph","optional":true},{"name":"Linux","optional":true},{"name":"Rest API","optional":true},{"name":"Triton Inference Server","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-05-27T17:26:03Z","employer_posted_date":"2026-05-27","last_verified_at":"2026-10-27T21:55:46Z","board_verified":true,"closed_at":null,"days_open":153,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":152},"description":"About ZEDEDA\nZEDEDA 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, visitwww.ZEDEDA.ai.\nLocation: San Jose, CA (3 days onsite)\nThis is an onsite position based in our San Jose, CA office. Candidates must be able to reliably commute to this location; relocation assistance and travel/commuting expenses are not provided.\nRole Summary\nThis 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.\nThis 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.\nCore Responsibilities:\nDesign, develop, and maintain software components that bridge AI model lifecycle management with Kubernetes-based edge orchestration.\nBuild and extend Kubernetes controllers, operators, and Custom Resource Definitions (CRDs) to support AI workload scheduling and deployment at the edge.\nWork with ONNX, GenAI, and ML models - integrating them into production-ready pipelines and edge environments.\nUse AI coding agents (Claude Code, Copilot, Codex, etc.) as first-class tools in your daily development workflow.\nParticipate in design discussions, write clean code, submit pull requests, and iterate rapidly based on feedback.\nContribute to open-source components related to ZEDEDA's platform and the broader cloud-native ecosystem.\nWrite and maintain Helm charts for deploying services into Kubernetes clusters.\nCollaborate with cross-functional teams across AI, infrastructure, and product to ship features end-to-end.\nQualifications:\nRequired:\nBachelor's or Master's degree in Computer Science, AI/ML, or a related technical field - or equivalent practical experience.\nFoundational knowledge of machine learning concepts: neural networks, deep learning, model training and inference, and attention mechanisms (self-attention / transformers).\nFamiliarity with ONNX models, GenAI model architectures, or frameworks like PyTorch or TensorFlow.\nPractical 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.\nComfort working with Git, submitting pull requests, reading diffs, and collaborating in a version-controlled environment.\nAbility to work with vague or evolving problem statements and drive toward clarity independently.\nLanguage-agnostic development mindset - you pick the right tool for the job and learn what you don't know.\nComfortable with basic Linux commands and shell scripting.\nPreferred:\nHands-on experience with Kubernetes advanced constructs: Custom Resource Definitions (CRDs), Operators, Controllers, and the kubeconfig API.\nCKA (Certified Kubernetes Administrator) or CKD certification, or active preparation for it.\nExperience with AI agent frameworks: LangChain, LangGraph, LangFuse, or similar.\nDemonstrated use of AI coding tools (Claude Code, GitHub Copilot, OpenAI Codex) in real development workflows - not just familiarity, but fluency.\nPrior contribution to, or porting of, open-source projects.\nExperience with CI/CD systems: Jenkins, CircleCI, GitHub Actions, or similar.\nFamiliarity with AWS or Azure tooling.\nKnowledge of cloud-native technologies: Kafka, REST APIs, SSO/OAuth, microservices patterns.\nExposure to Helm chart authoring, not just usage.\nAwareness of edge computing concepts, IoT, or distributed systems.\nFamiliarity with edge AI hardware platforms and inference infrastructure: NVIDIA Jetson (Jetpack SDK), Qualcomm IQ9, NVIDIA Triton Inference Server, vLLM, or similar model serving frameworks.\nFamiliarity with ArgoCD or other GitOps-based continuous delivery tools for Kubernetes.\nPay & Benefits\nAt 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\nWhy ZEDEDA\nZEDEDA 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.","description_format":"text","description_chars":5605,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work","Relocation assistance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["IoT Platforms & Solutions","Edge AI"],"lifecycle":[{"event":"open","at":"2026-09-12T06:56:38Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2 · green card filings: 1","filings_12m":2,"filings_prev_12m":4,"green_card_filings_12m":1,"median_offered_wage_usd":174167,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.196,"p_room":0.28,"age_days":152,"expected_fill_days":28,"reasons":["conf:1","win:tail","crowd:junior"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":true},"html_url":"https://alion.io/job/zededa-software-engineer-ai-edge-kubernetes-orchestration-san-jose-ca","json_url":"https://alion.io/job/zededa-software-engineer-ai-edge-kubernetes-orchestration-san-jose-ca.json","meta":{"generated_at":"2026-10-28T02:21:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3194,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":689426},"rest":"https://alion.io/mcp/rest/get_company?id=689426"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzededa-software-engineer-ai-edge-kubernetes-orchestration-san-jose-ca"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzededa-software-engineer-ai-edge-kubernetes-orchestration-san-jose-ca"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzededa-software-engineer-ai-edge-kubernetes-orchestration-san-jose-ca"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zededa-software-engineer-ai-edge-kubernetes-orchestration-san-jose-ca\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzededa-software-engineer-ai-edge-kubernetes-orchestration-san-jose-ca"}]}