Staff Engineer

Responsibilities

• Own the full detection stack including heuristics, threshold calibration, and rule systems
• Design and maintain anomaly detection pipelines for straggler node detection and GPU health
• Drive detection fidelity by reducing false positives and increasing signal coverage
• Integrate machine learning and reinforcement learning techniques into detection workflows
• Ship customer-facing features including alert rule engines and control plane APIs
• Mentor engineers through code reviews, design feedback, and direct coaching

Requirements

• 5+ years of experience shipping production software
• Deep expertise in anomaly detection, heuristics, or ML/RL systems for infrastructure
• Proficiency in modern compiled or systems languages such as Go, Rust, C++, or Java
• Strong foundations in distributed systems and scalable backend architecture
• Fluency with time-series data, telemetry pipelines, and observability primitives
• Proven ability to manage precision/recall trade-offs and signal calibration

Preferred Qualifications

• Experience with GPU profiling tools like Nsight or NCCL Inspector
• Background in observability platforms or products
• Experience with reinforcement learning applied to operational problems
• Familiarity with large-scale fleet management or cloud infrastructure

Benefits

• Competitive compensation and equity packages (RSUs)
• Comprehensive health, dental, and vision insurance
• 401(k) retirement plan with up to 4% company match
• Paid parental leave and volunteer time off
• Professional development and tuition reimbursement
• Daily meals allowance and commuter benefits