Senior Inference ML API SDET
Sunnyvale, CA • FullTime
Posted 3mo ago
Job Location
Sunnyvale, CA
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Cerebras Systems is seeking a Senior Software Engineer in Test for the ML API features team. This role will lead testing strategy and execution for AI/ML models, focusing on accuracy, fairness, and performance at scale. You will be a key technical leader in validating software and hardware components for Cerebras API Features, owning feature integration quality and driving pre-deployment and production validation for inference solutions. The position involves defining and championing best testing practices, establishing debugging methodologies, and mentoring junior engineers to ensure world-class product quality within a rapidly scaling and complex environment.
Responsibilities
- Architect and own end-to-end test strategies for new features, developing 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 around coverage trade-offs, resource requirements, and risk-based testing priorities.
- Serve as a technical anchor in a highly agile environment, adapting to shifting priorities 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.
Requirements
- 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.
- 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 involving product development, product management, customer operations, and field teams.
- Excellent verbal and written communication skills, with experience presenting technical findings to engineering and leadership audiences.
- 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.
- 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.
Benefits
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Simple, non-corporate work culture that respects individual beliefs.