1 year ago
Base Salary
$188k - $275k/yr
Responsibilities
- Own complex performance challenges across the Weights & Biases platform and infrastructure.
- Design and lead experiments to improve system scalability and latency.
- Develop standardized benchmarking and load-testing frameworks.
- Drive initiatives to prevent performance regressions across product surfaces.
- Collaborate with product, infrastructure, and SRE teams to understand system behavior and improve performance.
- Build tools and processes that help engineering teams measure, analyze, and continuously improve system performance.
- Drive cross-functional technical initiatives from design through adoption.
Requirements
- Require 8+ years of software engineering experience, including at least 2 years focused on performance optimization, systems scalability, or observability.
- Require proficiency in at least one of Go, Python, or TypeScript and strong systems-level debugging and profiling skills.
- Require deep understanding of distributed systems concepts including caching, queuing, concurrency, and resource contention.
- Require experience designing and implementing load-testing, benchmarking, or performance-regression frameworks.
- Require familiarity with metrics and tracing systems such as Prometheus, Grafana, OpenTelemetry, and Datadog.
- Require experience integrating performance measurement into CI/CD pipelines.
- Require ability to design experiments, analyze large datasets, and draw actionable conclusions.
- Require a proven record of driving cross-functional technical initiatives from design through adoption.
- Preferred qualifications include large-scale performance engineering or SRE experience, frontend performance monitoring and web vitals familiarity, developer-facing tool or framework development, data systems, observability, ML infrastructure, and contributions to open-source performance or benchmarking tools.
Benefits
- US full-time employees receive medical, dental, and vision insurance fully paid by CoreWeave, company-paid life insurance, disability coverage, flexible spending and health savings accounts, tuition reimbursement, ESPP participation, mental wellness benefits, family-forming support, paid parental leave, childcare support, 401(k) matching, flexible PTO, catered lunches at offices and data centers, and a casual work environment.
Tech Stack
Categories
About CoreWeave
CoreWeave provides a GPU-accelerated cloud for AI training and inference, VFX, and rendering, with bare-metal instances, Kubernetes orchestration, and managed services to scale workloads. It sells on-demand and reserved capacity to AI labs, startups, and enterprises, and offers SaaS tools and hands-on support for deployment. Founded in 2017 and headquartered in New York, it is publicly traded on Nasdaq under the ticker CRWV.