Weights & Biases · 3 days ago
Staff Software Engineer, Performance- Weights & Biases
Weights & Biases, acquired by CoreWeave, is focused on empowering developers with tools and infrastructure for AI development. As a Staff Engineer on the Performance Engineering team, you will take ownership of performance challenges, design experiments to enhance scalability and latency, and collaborate with various teams to improve system performance.
Artificial Intelligence (AI)Data VisualizationDeveloper ToolsGenerative AIMachine Learning
Responsibilities
Ensure systems and products scale seamlessly as usage grows
Diagnose issues, design scalable patterns, and build tools that empower every engineering team to deliver fast, efficient, and reliable experiences
Take technical ownership of complex performance challenges across the W&B platform and infrastructure
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, combining deep technical expertise with a holistic understanding of system behavior
Blend investigation, architecture, and enablement—helping teams measure, understand, and continuously improve performance
Qualification
Required
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
Preferred
Prior experience in performance engineering or SRE at scale (e.g., supporting multi-region, high-throughput systems)
Familiarity with frontend performance monitoring and web vitals
Experience building developer-facing tools or frameworks
Background in data systems, observability, or ML infrastructure
Experience contributing to open-source performance or benchmarking tools
Benefits
Medical, dental, and vision insurance - 100% paid for by CoreWeave
Company-paid Life Insurance
Voluntary supplemental life insurance
Short and long-term disability insurance
Flexible Spending Account
Health Savings Account
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
Company
Weights & Biases
Weights & Biases is a developer-first MLOps platform that builds machine learning performance visualization tools.
Funding
Current Stage
Growth StageTotal Funding
$250MKey Investors
NVIDIAInsight PartnersCoatue
2025-03-04Acquired
2023-09-01Secondary Market
2023-08-09Series Unknown· $50M
Recent News
2025-11-04
2025-11-01
Company data provided by crunchbase