Senior Inference ML API SDET

The role

You will lead testing strategy and execution for AI/ML models, evaluating accuracy, fairness, and performance at scale. You will deliver and validate software and hardware components for Cerebras API Features.

What you will do

• Architect and own end-to-end test strategies for new features.
• Develop scalable tests, frameworks, and tooling.
• Lead contributions to industry-standard benchmarks.
• Drive adoption of rigorous evaluation methodologies.
• Define and drive automation initiatives.
• Make strategic decisions around coverage trade-offs and risk-based testing priorities.
• Mentor and guide junior SDETs.
• Identify systemic quality gaps and drive cross-functional initiatives.
• Lead and facilitate technical communication across teams and time zones.

Required qualifications

• 5+ years of relevant industry experience in software integration, development, or quality engineering.
• Deep expertise in automation and programming using Python, C++, or Go.
• Ability to design and build reusable test frameworks from the ground up.
• Proven experience testing compute, machine learning, networking, or storage systems within large-scale enterprise environments.
• Strong track record of debugging complex issues across distributed, scaled-out deployments.
• Demonstrated ability to lead cross-functional quality initiatives.
• Excellent verbal and written communication skills.
• Experience presenting technical findings to engineering and leadership audiences.
• Strong organizational skills and ownership mindset.
• Experience leading and mentoring engineers across geographically dispersed teams and time zones.

Nice to have

• Hands-on experience with ML workloads including LLM and/or multimodal training or inference.
• Deep 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, debugging, and orchestration at scale.
• Prior experience owning or significantly contributing to a team's quality engineering culture or test infrastructure.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.