Senior Inference ML API SDET
Cerebras · Sunnyvale, CA
About this role
## About Cerebras Cerebras Systems builds the world’s largest AI chip—56x larger than GPUs—enabling industry-leading training and inference speeds (over 10x faster than GPU-based hyperscale cloud inference). This performance leap is transforming AI application experiences with real-time iteration and more agentic computation. ## About the Team The **ML API Quality** team ensures the confidence behind every production release shipped to **Cerebras Inference Cloud**. You’ll collaborate across platform, infrastructure, ML systems, and product engineering to maintain customer trust while moving fast across distributed cloud systems, multi-region deployments, APIs, orchestration layers, and hardware-backed inference services. ## About the Role As a **Senior Software Engineer in Test (SDET)** for the **ML API Features** team, you will lead testing strategy and execution for AI/ML models—evaluating **accuracy, fairness, and performance at scale**. You’ll own feature integration quality and drive pre-deployment and production validation for Cerebras inference solutions. You’ll define and champion best testing practices, establish robust debugging methodologies, and mentor junior engineers while advocating for world-class product quality. ## Responsibilities - Architect and own **end-to-end test strategies** for new features, building scalable tests, frameworks, and tooling. - Lead contributions to **industry-standard benchmarks** and drive adoption of rigorous evaluation methodologies. - Define and drive **automation initiatives** to improve engineering efficiency and test coverage. - Make strategic decisions on **coverage trade-offs**, resource requirements, and **risk-based testing priorities**. - Serve as a technical anchor in an agile environment—adapting quickly while maintaining quality standards. - Mentor and guide junior SDETs on testing methodology, debugging practices, and automation development. - Proactively identify systemic quality gaps and drive cross-functional initiatives to address them. - Lead and facilitate effective technical communication across teams and time zones. ## Skills & Qualifications - **5+ years** of relevant experience in software integration, development, or quality engineering. - Deep expertise in **automation and programming** using one or more of: **Python, C++, or Go**; ability to design and build reusable test frameworks. - Proven experience testing **compute, machine learning, networking, or storage systems** in large-scale enterprise environments. - Strong track record debugging complex issues across **distributed, scaled-out deployments**. - Demonstrated ability to lead cross-functional quality initiatives across product, product management, customer operations, and field teams. - Excellent verbal and written communication; experience presenting technical findings to engineering and leadership. - Strong organizational skills, ownership mindset, and ability to drive projects to completion independently. - Experience leading and mentoring engineers across geographically dispersed teams and time zones. ## Preferred Qualifications - Hands-on experience with **ML workloads** including **LLMs and/or multimodal training or inference**. - Familiarity with **hardware architecture**, performance optimizations, compilers, and ML frameworks. - Experience designing test strategies for **distributed systems**, **cloud infrastructure**, and **security validation**. - Experience with **microservices deployment**
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