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Lead Software System Design Engineer

India, Bangalore · Job Posted April 03, 2026
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Job Description

We are seeking a senior performance devtools engineer with deep, hands‑on experience analyzing and optimizing complex systems across Linux, Windows, and FreeBSD. This role focuses on solving real performance problems end‑to‑end and building the tooling required to do so effectively.

Job Responsibility

  • Perform end‑to‑end performance analysis of complex workloads across Linux, Windows, and FreeBSD
  • Identify and resolve CPU, memory, cache, NUMA, scheduler, I/O, concurrency, and power/thermal bottlenecks
  • Select and apply different performance analysis workflows based on problem class (latency, throughput, power, scalability)
  • Design, develop, and enhance performance analysis and tuning toolchains used by engineers and power users
  • Write production‑quality C++ code to implement analysis tools, optimizations, experiments, and fixes
  • Build and integrate AI agents to automate performance analysis, data triage, regression detection, and reporting
  • Design and operate MCP servers (or equivalent agent backends) to connect models, tools, profilers, and data sources securely
  • Drive power and performance optimizations at system, OS, and application layers
  • Validate improvements using reproducible methodology, benchmarks, and data‑driven reporting
  • Collaborate with architecture, system software, tools, and hardware teams to influence design decisions
  • Author technical papers, whitepapers, blogs, or conference publications
  • Contribute tooling, fixes, or analysis back to open‑source communities

Requirements

  • Proven hands‑on experience performing performance analysis on complex systems
  • Deep knowledge of CPU micro‑architecture (pipelines, caches, SMT, NUMA, memory hierarchy, power states)
  • Expertise analyzing performance across Linux, Windows, and FreeBSD
  • Demonstrated experience in power and performance optimization
  • Strong, hands‑on C++ programming skills (ability to build tools, land fixes, and maintain production code)
  • Experience developing or enhancing performance tuning toolchains
  • Strong ability to correlate hardware behavior, OS behavior, and application behavior
  • Clear understanding of how to approach and solve different classes of performance problems, including: CPU‑bound vs memory‑bound, Latency‑sensitive vs throughput‑driven workloads, Lock contention, scheduling, and concurrency bottlenecks, Power‑limited, thermal‑limited, and frequency‑scaling scenarios
  • Ability to define repeatable, explainable workflows for diagnosis → hypothesis → measurement → fix → validation
  • Experience writing and using AI agents for performance analysis, automation, or developer productivity
  • Ability to integrate AI responsibly into performance workflows (analysis, triage, optimization, reporting)
  • Experience using AI to scale performance expertise, not just accelerate coding
  • Meaningful open‑source contributions (code, tooling, performance investigations, or documentation)
  • Authorship of multiple technical publications, such as: Conference papers or presentations, Technical blogs or whitepapers, Open‑source design or performance analysis documents

Nice to have

  • Experience with hardware performance counters and low‑level profiling mechanisms
  • Background in HPC, cloud infrastructure, or large‑scale production systems
  • Experience influencing product or architecture decisions using performance data
  • Strong mentoring and technical leadership skills
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