S
Staff Engineer, Product Validation Engineering ( CPU / GPU / NPU ) Performance & Benchmarking , 9-13 years, Bangalore
Accepting applicationsSandisk · Bengaluru, Karnataka, India
Full-Time Entry AIARMC++DDREthernet
Estimated market salary
₹9-16 LPA
This is a SiliconBoard market estimate, not an employer-posted salary.
Posted
1d ago
Category
Test
Experience
Entry
Country
India
Company Description
Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description
Job Summary
We are looking for an experienced Post-Silicon Performance Measurement & Benchmarking Engineer to drive performance characterization, bottleneck analysis, and optimization of next-generation SoCs. The candidate will work closely with Architecture, Design, Firmware, Driver, Validation, and Software teams to ensure silicon achieves its targeted performance, power, and efficiency.
The candidate brings strong expertise in performance measurement methodologies, hardware performance counters, profiling tools, benchmarking, and root-cause analysis across CPU, GPU, NPU/AI accelerators, memory subsystem, and I/O.
Key Responsibilities
Develop and execute post-silicon performance validation plans.
Measure and analyze silicon performance against architectural KPIs.
Build automated benchmarking and performance characterization frameworks.
Analyze hardware performance counters (PMU/PMC) to identify bottlenecks.
Tune firmware, drivers, BIOS, OS, and platform configurations for optimal performance.
Perform workload characterization across AI, Storage, Networking, Multimedia, and Compute workloads.
Correlate pre-silicon simulation results with post-silicon measurements.
Debug CPU, Memory, Cache, Interconnect, PCIe, DDR, Storage, and AI accelerator performance issues.
Analyze bandwidth, latency, throughput, utilization, and QoS metrics.
Work with architecture teams to recommend micro-architectural improvements.
Create dashboards and performance trend reports.
Develop Python automation for benchmark execution, log collection, and report generation.
Collaborate with firmware teams to optimize scheduling, cache policies, memory allocation, and interrupt handling.
Support silicon bring-up and characterization activities.
Exposure to AI tools and methodologies
Qualifications
Required Technical Skills
Performance Measurement
Performance benchmarking methodologies
Throughput and latency analysis
Memory bandwidth measurement
Cache utilization analysis
Hardware counter analysis
Power-performance tradeoff analysis
Thermal throttling characterization
Hardware Knowledge
ARM/x86 Architecture
Cache hierarchy
DDR/LPDDR subsystem
PCIe
USB
Ethernet
NoC (Network-on-Chip)
Performance Tools
Linux perf
PMU/PMC
VTune
Perfetto
Trace32
JTAG
Lauterbach
ETM/PTM Trace
ftrace
eBPF (Preferred)
Programming
Python
C/C++
Shell scripting
Operating Systems
Linux Kernel
Android (Preferred)
Embedded Linux
Benchmarking Experience
Experience with one or more of the following:
MLPerf
SPEC CPU
FIO
IOZone
STREAM
Geekbench
CoreMark
AI inference benchmarks
Storage performance benchmarks
Multimedia benchmarks
Preferred Skills
Experience with AI accelerators (NPU/DSP/GPU)
Performance tuning for TensorFlow, PyTorch, ONNX Runtime, TensorRT
Understanding of compiler optimizations
Firmware optimization
Linux kernel performance tuning
DVFS and power management
Memory subsystem optimization
Storage performance optimization
Knowledge of virtualization and hypervisors
Soft Skills
Strong analytical and debugging skills
Excellent problem-solving ability
Cross-functional collaboration
Effective communication and presentation skills
Ability to drive performance optimization initiatives independently
Education
Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field.
Additional Information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us atjobs.accommodations@sandisk.comto advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.
Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.
Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.
Job Description
Job Summary
We are looking for an experienced Post-Silicon Performance Measurement & Benchmarking Engineer to drive performance characterization, bottleneck analysis, and optimization of next-generation SoCs. The candidate will work closely with Architecture, Design, Firmware, Driver, Validation, and Software teams to ensure silicon achieves its targeted performance, power, and efficiency.
The candidate brings strong expertise in performance measurement methodologies, hardware performance counters, profiling tools, benchmarking, and root-cause analysis across CPU, GPU, NPU/AI accelerators, memory subsystem, and I/O.
Key Responsibilities
Develop and execute post-silicon performance validation plans.
Measure and analyze silicon performance against architectural KPIs.
Build automated benchmarking and performance characterization frameworks.
Analyze hardware performance counters (PMU/PMC) to identify bottlenecks.
Tune firmware, drivers, BIOS, OS, and platform configurations for optimal performance.
Perform workload characterization across AI, Storage, Networking, Multimedia, and Compute workloads.
Correlate pre-silicon simulation results with post-silicon measurements.
Debug CPU, Memory, Cache, Interconnect, PCIe, DDR, Storage, and AI accelerator performance issues.
Analyze bandwidth, latency, throughput, utilization, and QoS metrics.
Work with architecture teams to recommend micro-architectural improvements.
Create dashboards and performance trend reports.
Develop Python automation for benchmark execution, log collection, and report generation.
Collaborate with firmware teams to optimize scheduling, cache policies, memory allocation, and interrupt handling.
Support silicon bring-up and characterization activities.
Exposure to AI tools and methodologies
Qualifications
Required Technical Skills
Performance Measurement
Performance benchmarking methodologies
Throughput and latency analysis
Memory bandwidth measurement
Cache utilization analysis
Hardware counter analysis
Power-performance tradeoff analysis
Thermal throttling characterization
Hardware Knowledge
ARM/x86 Architecture
Cache hierarchy
DDR/LPDDR subsystem
PCIe
USB
Ethernet
NoC (Network-on-Chip)
Performance Tools
Linux perf
PMU/PMC
VTune
Perfetto
Trace32
JTAG
Lauterbach
ETM/PTM Trace
ftrace
eBPF (Preferred)
Programming
Python
C/C++
Shell scripting
Operating Systems
Linux Kernel
Android (Preferred)
Embedded Linux
Benchmarking Experience
Experience with one or more of the following:
MLPerf
SPEC CPU
FIO
IOZone
STREAM
Geekbench
CoreMark
AI inference benchmarks
Storage performance benchmarks
Multimedia benchmarks
Preferred Skills
Experience with AI accelerators (NPU/DSP/GPU)
Performance tuning for TensorFlow, PyTorch, ONNX Runtime, TensorRT
Understanding of compiler optimizations
Firmware optimization
Linux kernel performance tuning
DVFS and power management
Memory subsystem optimization
Storage performance optimization
Knowledge of virtualization and hypervisors
Soft Skills
Strong analytical and debugging skills
Excellent problem-solving ability
Cross-functional collaboration
Effective communication and presentation skills
Ability to drive performance optimization initiatives independently
Education
Bachelor’s or Master’s degree in Computer Science, Electronics, Electrical Engineering, or a related field.
Additional Information
Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us atjobs.accommodations@sandisk.comto advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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