Hyderabad, Telangana
Job Summary

Own system-level power and performance characterization and optimization across ARM-based heterogeneous SoC platforms — establishing benchmark methodology, finding bottlenecks across CPU/GPU/NPU/DSP and memory, and delivering measurable improvements to latency, throughput, thermal behaviour and battery life.

Key Responsibilities
Define and maintain benchmarking methodology and an automated performance/power measurement lab across platform variants.
Characterize workloads across CPU, GPU, NPU, DSP, memory and interconnect; identify and quantify bottlenecks.
Optimize the platform stack — scheduler and CPUFreq/CPUIdle governor tuning, DVFS policy, core affinity, big.LITTLE placement, memory and cache behaviour.
Drive power optimization: suspend/resume paths, idle-state residency, clock and power domain gating, peripheral wake analysis and low-power mode enablement.
Measure real current consumption with power analysers and rail-level instrumentation; build power models for product use cases.
Analyse thermal behaviour, throttling and sustained-performance envelopes; tune thermal policy.
Profile with perf, ftrace, LTTng, GPU/NPU profilers and hardware trace; deliver actionable findings to owning teams.
Track KPIs release over release, catch regressions in CI, and publish performance and power reports to stakeholders.




Skill Requirements
8–10 years in embedded systems with a solid performance and power engineering focus.
Strong C and Python for instrumentation, automation and analysis.
Linux performance tooling depth — perf, ftrace, eBPF, trace-cmd, systrace/perfetto.
Linux power management internals — runtime PM, CPUIdle, CPUFreq, EAS, wakeup sources, regulator/clock frameworks.
Hands-on power measurement with power analysers, shunt/rail instrumentation and correlated software traces.
Ability to reason quantitatively about memory bandwidth, cache behaviour and interconnect contention.

Experience building automated benchmark suites and tracking KPIs in CI.

Other Requirements
Good-to-Have Skills
GPU/NPU profiling and graphics or ML workload optimization.
Thermal modelling and sustained-performance tuning.
Standard benchmark suites — MLPerf, Geekbench-class, GFXBench, SPEC.
Android power framework and battery-life analysis.
Statistical analysis and dashboarding of performance data.
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📌 Senior Technical Architect (India)
🏢 HCLTech
📍 India