{"id":17058,"url":"https://alion.io/job/cerebras-senior-inference-platform-sdet","title":"Senior SDET, Inference Platform","company":{"id":31,"name":"Cerebras Systems","domain":"cerebras.ai","url":"https://alion.io/company/cerebras-systems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":74,"open_postings":25,"ghost_share":0,"stale_share":0.84,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-10-19T05:45:15Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada","Sunnyvale, United States"],"countries":["CA","US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":141000,"max_usd":274000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":550},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Cerebras","optional":false},{"name":"CI/CD","optional":false},{"name":"Edge AI","optional":false},{"name":"Go","optional":false},{"name":"Kubernetes","optional":false},{"name":"Nginx","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Amazon EKS","optional":true},{"name":"ArgoCD","optional":true},{"name":"AWS","optional":true},{"name":"Bazel","optional":true},{"name":"GitOps","optional":true},{"name":"Jenkins","optional":true},{"name":"k9s","optional":true}],"status":"live","first_seen_at":"2026-07-13T18:51:21Z","employer_posted_date":"2026-07-13","last_verified_at":"2026-10-19T03:09:11Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":97},"description":"Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. \nThis order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.\nCerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.\nAbout the Role\nWe are looking for an Inference Platform SDET to join the Inference Service Quality team at Cerebras and work on the inference platform. This team sits at the intersection of distributed systems, cloud and cluster infrastructure, and the software stack that serves the world's fastest AI inference.\nIn this role, you will own the quality and reliability of the infrastructure that deploys and runs the Cerebras Inference Platform - from CI/CD pipelines and Kubernetes-based deployments to ingress, load balancing, and service discovery. You will validate the platform both in cloud environments and on real Cerebras clusters, working side by side with the Inference Platform development team to catch issues before our customers do.\nThis is an excellent opportunity for engineers who enjoy infrastructure, automation, and debugging across the full deployment stack, and who want to ensure that a platform serving inference at massive scale stays fast, reliable, and production-ready.\nResponsibilities\nDesign, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.\n\nValidate the platform across environments - from cloud-managed Kubernetes to deployments running on Cerebras hardware.\n\nTest and verify deployment infrastructure including Kubernetes workloads, CI/CD pipelines, ingress and service discovery, NGINX, and load balancing.\n\nCollaborate closely with the Inference Platform development team to ensure new features and platform capabilities ship reliably.\n\nInvestigate and debug complex issues spanning networking, orchestration, deployment, and distributed services.\n\nDevelop and maintain testbeds used to validate platform performance, scalability, and reliability.\n\nIdentify failure points, bottlenecks, and edge cases that impact platform stability and inference performance.\n\nContribute to test plans and validation strategies for new platform features and releases.\n\nImprove observability, diagnostics, and debugging workflows across the inference platform stack.\n\nPartner with engineering teams to ensure high-quality, production-ready releases of the Cerebras Inference Platform.\nMinimum Skills & Qualifications\n\n3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.\n\nStrong programming skills in Python and/or Go (experience with both is a plus).\n\nExperience building automation tools, testing frameworks, or internal developer tooling.\n\nHands-on experience with CI/CD systems (e.g., Jenkins)\n\nExperience debugging complex systems, distributed services, or networked infrastructure.\n\nFamiliarity with systems-level development, infrastructure tooling, or platform integration.\n\nStrong problem-solving skills and the ability to investigate issues across multiple system and infrastructure layers.\n\nExcellent communication and collaboration skills.\n\nExperience mentoring junior engineers\n\nPreferred Skills\nHands-on experience with Kubernetes and container orchestration in a real production or staging environment.\n\nExperience with cloud-managed Kubernetes such as Amazon EKS.\n\nExperience with GitOps/deployment tooling (e.g., ArgoCD).\n\nFamiliarity with ingress controllers, service discovery, NGINX, and load balancing.\n\nExperience with build systems such as Bazel.\n\nExperience with cluster tooling and operations (e.g., k9s).\n\nExposure to performance debugging, profiling, or system observability tools.\n\nExperience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads\n\nLocation: Toronto / Sunnyvale\nTeam: Inference Service Quality\nWhy Join Cerebras\nPeople who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\n\nPublish and open source their cutting-edge AI research.\n\nWork on one of the fastest AI supercomputers in the world.\n\nEnjoy job stability with startup vitality.\n\nOur simple, non-corporate work culture that respects individual beliefs.\n\nFind out more about what it's like to work at Cerebras here!\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.\nThis website or its third-party tools process personal data. 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