Senior Software Engineer, AI Performance Analysis

What You'll Be Doing

• Design and build performance analysis tools and workflows for AI training and inference workloads.
• Understand how AI performance engineers work and translate their needs into scalable, intuitive tooling.
• Develop integrations between profiling infrastructure and AI frameworks and workflows.
• Collaborate with performance engineers, hardware architects, and software teams to ensure profiling capabilities align with real-world AI workloads.
• Identify performance bottlenecks in AI workloads and develop automated approaches to detect and diagnose them.

What We Need To See

• M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience).
• 6+ years of relevant work experience.
• Deep knowledge of AI workloads, frameworks, and performance characteristics.
• Experience building tools, workflows, or infrastructure used by other engineers.
• Strong software development skills (Python, C++ preferred).
• Ability to translate user requirements into scalable tooling solutions.
• Up to date with AI-enabled tooling for software development and performance analysis.
• Strong interpersonal skills for understanding engineer difficulties and working across multi-functional teams.

Ways To Stand Out From The Crowd

• Experience profiling or optimizing AI training or inference pipelines at scale.
• Background building developer tools or platforms for ML engineers.
• Contributions to open-source AI tooling or frameworks.

Pay

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.