Staff Software Engineer, Performance- Weights & Biases

Role overview As a staff-level performance engineer, you will take technical ownership of performance challenges across an AI development platform and its infrastructure. The work combines investigation, architecture, experimentation, and engineering enablement to help systems remain fast and reliable as usage grows.

Responsibilities - Lead experiments to improve system scalability and reduce latency across product and infrastructure components. - Design shared benchmarking and load-testing frameworks, and use them to identify performance limits. - Build ways to detect and prevent performance regressions across product areas, including integration with CI/CD pipelines. - Investigate system behavior using profiling, metrics, traces, and performance data; turn findings into practical improvements. - Work with product, infrastructure, SRE, and engineering teams to make performance measurement part of everyday development. - Drive cross-team technical initiatives from initial design through adoption.

Requirements - At least eight years of software engineering experience, including two or more years focused on performance, scalability, or observability. - Proficiency in at least one of Go, Python, or TypeScript, with strong systems debugging and profiling skills. - A solid grasp of distributed systems concepts such as caching, queues, concurrency, and resource contention. - Experience building or designing load tests, benchmarks, or performance regression systems. - Familiarity with metrics and tracing tools, and the ability to analyze performance data and draw useful conclusions. - Experience incorporating performance checks into delivery pipelines and leading technical work across teams.

Benefits and work setup The listed US full-time benefits include medical, dental, and vision coverage paid in full; life and disability insurance; flexible spending and health savings accounts; tuition reimbursement; an employee stock purchase program; mental wellness and family-forming support; paid parental leave; childcare support; a 401(k) with employer match; and flexible paid time off. Office and data center locations offer catered lunches. Benefits may differ outside the US. Compensation is determined based on factors including qualifications, experience, interview performance, and location.