Staff Software Engineer, Performance- Weights & Biases

About the role

As a Staff Engineer on the Performance Engineering team, you’ll take technical ownership of complex performance challenges across the W&B platform and infrastructure. You’ll design and lead experiments to improve system scalability and latency, develop standardized benchmarking and load testing frameworks, and drive initiatives to prevent regressions across product surfaces. You’ll collaborate closely with product, infrastructure, and SRE teams, combining deep technical expertise with a holistic understanding of system behavior.

Responsibilities

• Design and lead experiments to improve system scalability and latency
• Develop standardized benchmarking and load testing frameworks
• Drive initiatives to prevent regressions across product surfaces
• Collaborate closely with product, infrastructure, and SRE teams
• Blend investigation, architecture, and enablement—helping teams measure, understand, and continuously improve performance

Requirements

• 8+ years of experience as a software engineer, with at least 2 years focused on performance optimization, systems scalability, or observability
• Proficiency in at least one of Go, Python, or TypeScript, with strong systems-level debugging and profiling skills
• Deep understanding of distributed systems concepts (caching, queuing, concurrency, resource contention, etc.) and their performance implications
• Experience designing and implementing load testing, benchmarking, or performance regression frameworks (e.g., Locust, Gatling, k6, custom solutions)
• Familiarity with metrics and tracing systems (Prometheus, Grafana, OpenTelemetry, Datadog, etc.) and performance data analysis
• Experience integrating performance measurement into CI/CD pipelines
• Ability to design experiments, analyze large datasets, and draw actionable conclusions
• Proven track record of driving cross-functional technical initiatives from design through adoption

Qualifications

• Preferred: Experience in performance engineering or SRE at scale (e.g., supporting multi-region, high-throughput systems)
• Experience building developer-facing tools or frameworks
• Background in data systems, observability, or ML infrastructure
• Experience contributing to open-source performance or benchmarking tools

Skills

• Love to turn messy, complex performance problems into clear, data-backed stories that lead to concrete action
• Curious about how systems behave under real-world load and enjoy building experiments that reveal what’s really happening under the hood
• Expertise in transforming deep technical insights into tools and processes that empower other engineers to build faster, more reliable systems
• Long-term, cross-team collaboration—helping others succeed by embedding performance thinking into their workflows
• Bridge theory and practice: designing scalable architectures and writing the code that proves them out
• Care deeply about measurement, iteration, and continuous improvement—fixing bottlenecks, and preventing them from recurring

Benefits

• Medical, dental, and vision insurance - 100% paid by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account (FSA)
• Health Savings Account (HSA)
• Tuition Reimbursement
• Ability to participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption