AI Inference Core - Junior SDET, Release Integration Testing

Responsibilities

• Engage with selected inference-core features before qualification completes to understand dependencies, interaction risks, and required integration scenarios.
• Develop, run, and maintain automated tests for models, features, system behavior, integration, regression, and releases across the AI stack.
• Collect unit, simulation, benchmark, feature-test, and integration evidence; document gaps; execute cross-stack end-to-end workflows; and promote durable scenarios into release regression.
• Maintain master and release-branch stability by triaging regression and rollout failures, escalating with clear evidence, identifying owners, validating fixes, and verifying closure.
• Write Python, Go, or similar code for test automation, diagnostics, testbeds, data analysis, dashboards, qualification workflows, and release pipelines.
• Collaborate with Integration, Core Infra, feature teams, and release owners to reproduce issues, route missing coverage to the correct layer, and support coordinated rollouts.
• Document test intent and findings, grow toward independent ownership of a test domain, and improve automation efficiency, metrics, probes, diagnostics, and roadmap test plans.

Requirements

• Strong software-engineering fundamentals and programming ability in Python, Go, or a similar language.
• Experience building, testing, or debugging software through internships, research, academic projects, open source, personal projects, or professional work.
• Basic understanding of data structures, algorithms, operating systems, networking, or distributed-systems concepts.
• Curiosity about how complex systems behave across component boundaries.
• Ability to break down problems, form hypotheses, gather evidence, and learn from unexpected results.
• Willingness to read unfamiliar code, learn new layers of the stack, and take ownership beyond a narrowly defined task.
• Clear communication, collaboration, persistence, learning velocity, and comfort working through ambiguity with guidance.

Preferred Qualifications

• Coursework or project experience in testing, distributed systems, operating systems, compilers, computer architecture, AI systems, or infrastructure.
• Experience building automated tests, test frameworks, CI workflows, developer tools, or data-analysis scripts.
• Exposure to software/hardware co-design, hardware accelerators, low-level systems, or performance debugging.
• Familiarity with AI infrastructure, model deployment, large language models, multimodal workloads, containers, or cloud environments.
• Experience using logs, metrics, debuggers, profilers, or observability tools to investigate failures.
• Internship, startup, research-lab, robotics, systems, or other fast-moving hands-on experience.
• Demonstrated zero-to-one initiative through a substantial project, tool, experiment, or open-source contribution.

Benefits and Work Arrangement

• Hybrid schedule with in-office presence three days per week.
• Office locations: Sunnyvale, CA or Toronto, Canada.