Staff Software Engineer, Observability & Profiling

United States Digital Space LLC; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

United States Digital Space LLC is seeking Software Engineers to join our Observability team within the Infrastructure organization. The role focuses on monitoring and telemetry infrastructure including metrics, logs, traces, and dashboards to ensure reliability of research and product systems.

As we scale GPU/TPU/Trainium clusters, you will build high-throughput telemetry pipelines, profiling, eBPF tracing, and diagnostic tools to help engineers detect and resolve issues quickly, even across

Qualifications

• Hands-on experience building and operating large-scale observability or monitoring infrastructure.
• Experience with end-to-end observability signals from instrumentation to query and analysis.
• Understanding of high-throughput telemetry pipelines and data storage at scale.
• Comfort digging into kernel, network stack, or hardware.
• Strong communication and collaboration across teams.

Responsibilities

• Design scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across multi-cluster infrastructure.
• Build observability solutions that provide low-overhead visibility into system behavior across fleets.
• Own and evolve observability platforms, driving migrations and architectural improvements.
• Develop instrumentation libraries, SDKs, and eBPF-based auto-instrumentation.
• Reduce mean time to detection via cross-signal correlation and unified query interfaces.

Skills

Observability infrastructure

Telemetry pipelines

eBPF

Kernel/network expertise

Diagnostics tooling

Communication skills

Independent work

Tools

eBPF

SDKs

Job description

About the company

the company’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

the company is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at the company depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of the company's research and product systems.

As the company scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard.

Key responsibilities

• Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across the company's multi-cluster infrastructure
• Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet
• Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth
• Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes
• Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling
• Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets
• Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization

Minimum qualifications

• Have hands-on experience building and operating large-scale observability or monitoring infrastructure
• Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis
• Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale
• Are comfortable digging below the application layer into the kernel, the network stack, or the hardware
• Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities
• Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team

Preferred qualifications

• 10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure
• Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility
• Experience running continuous profiling at fleet