Machine Learning Engineer
Capgemini
Machine Learning Engineer
Job Description
Machine Learning Engineer
📋 Job Overview
As a System Power, Thermal and Performance Engineer at Capgemini, you will validate and optimize system-level performance for CPU, GPU, and AI/ML workloads on Android and Linux platforms. The role involves analyzing benchmarks, collecting KPIs from MLPerf and GenAI models, and developing automation scripts to drive efficiency in SoC subsystems. Join a global team to innovate in engineering services for leading organizations.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Execute and analyze CPU/GPU/AI-ML workloads and benchmarks on Android and Linux platforms
- Run and interpret power, thermal, and performance KPIs from synthetic workloads and system benchmarks
- Collect and evaluate KPIs from MLPerf, GenAI models, and vision workloads
- Gather logs and profiling data from SoC subsystems including CPU, NPU, DDR, etc.
- Monitor and report power and performance metrics for dashboard generation
- Develop and maintain automation scripts using Python, Shell, or Batch for data collection and reporting
- Operate lab equipment such as oscilloscopes, power analyzers, and other diagnostic tools
✅ Required Qualifications
- 6–9 years of experience in system-level validation, performance analysis, and power optimization
- Proven experience in executing and analyzing workloads on Android and Linux platforms
- Strong understanding of SoC architecture and subsystems including CPU, GPU, NPU, and memory
- Hands-on expertise in power and performance measurement and optimization
- Bachelor’s or Master’s degree in Electronics, Computer Engineering, or a related field
🛠️ Required Skills
- System-level validation
- Performance analysis
- Power optimization
- Android platforms
- Linux platforms
- SoC architecture
- CPU subsystems
- GPU subsystems
- NPU subsystems
- Memory subsystems
- Power measurement
- Performance measurement
- Python scripting
- Shell scripting
- Batch scripting
- Automation
- Data parsing
- Lab equipment operation (oscilloscopes, power analyzers, diagnostic tools)
- Analytical mindset
- Interpreting complex performance data
- Deriving actionable insights
- MLPerf
- GenAI models
- Vision workloads
- Benchmark analysis
- KPI evaluation
- Log gathering
- Profiling data collection
- Dashboard generation
🎁 Benefits & Perks
- Remote work options
- Adaptable schedules for healthy work-life balance
- Inclusive culture committed to growth, innovation, and excellence
- Career opportunities in a global engineering team
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- System-level validationintermediate
- Performance analysisintermediate
- Power optimizationintermediate
- Android platformsintermediate
- Linux platformsintermediate
- SoC architectureintermediate
- CPU subsystemsintermediate
- GPU subsystemsintermediate
- NPU subsystemsintermediate
- Memory subsystemsintermediate
- Power measurementintermediate
- Performance measurementintermediate
- Python scriptingintermediate
- Shell scriptingintermediate
- Batch scriptingintermediate
- Automationintermediate
- Data parsingintermediate
- Lab equipment operation (oscilloscopes, power analyzers, diagnostic tools)intermediate
- Analytical mindsetintermediate
- Interpreting complex performance dataintermediate
- Deriving actionable insightsintermediate
- MLPerfintermediate
- GenAI modelsintermediate
- Vision workloadsintermediate
- Benchmark analysisintermediate
- KPI evaluationintermediate
- Log gatheringintermediate
- Profiling data collectionintermediate
- Dashboard generationintermediate
Required Qualifications
- 6–9 years of experience in system-level validation, performance analysis, and power optimization (experience)
- Proven experience in executing and analyzing workloads on Android and Linux platforms (experience)
- Strong understanding of SoC architecture and subsystems including CPU, GPU, NPU, and memory (experience)
- Hands-on expertise in power and performance measurement and optimization (experience)
- Bachelor’s or Master’s degree in Electronics, Computer Engineering, or a related field (experience)
Responsibilities
- Execute and analyze CPU/GPU/AI-ML workloads and benchmarks on Android and Linux platforms
- Run and interpret power, thermal, and performance KPIs from synthetic workloads and system benchmarks
- Collect and evaluate KPIs from MLPerf, GenAI models, and vision workloads
- Gather logs and profiling data from SoC subsystems including CPU, NPU, DDR, etc.
- Monitor and report power and performance metrics for dashboard generation
- Develop and maintain automation scripts using Python, Shell, or Batch for data collection and reporting
- Operate lab equipment such as oscilloscopes, power analyzers, and other diagnostic tools
Benefits
- general: Remote work options
- general: Adaptable schedules for healthy work-life balance
- general: Inclusive culture committed to growth, innovation, and excellence
- general: Career opportunities in a global engineering team
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Machine Learning Engineer
Capgemini
Machine Learning Engineer
Job Description
Machine Learning Engineer
📋 Job Overview
As a System Power, Thermal and Performance Engineer at Capgemini, you will validate and optimize system-level performance for CPU, GPU, and AI/ML workloads on Android and Linux platforms. The role involves analyzing benchmarks, collecting KPIs from MLPerf and GenAI models, and developing automation scripts to drive efficiency in SoC subsystems. Join a global team to innovate in engineering services for leading organizations.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Execute and analyze CPU/GPU/AI-ML workloads and benchmarks on Android and Linux platforms
- Run and interpret power, thermal, and performance KPIs from synthetic workloads and system benchmarks
- Collect and evaluate KPIs from MLPerf, GenAI models, and vision workloads
- Gather logs and profiling data from SoC subsystems including CPU, NPU, DDR, etc.
- Monitor and report power and performance metrics for dashboard generation
- Develop and maintain automation scripts using Python, Shell, or Batch for data collection and reporting
- Operate lab equipment such as oscilloscopes, power analyzers, and other diagnostic tools
✅ Required Qualifications
- 6–9 years of experience in system-level validation, performance analysis, and power optimization
- Proven experience in executing and analyzing workloads on Android and Linux platforms
- Strong understanding of SoC architecture and subsystems including CPU, GPU, NPU, and memory
- Hands-on expertise in power and performance measurement and optimization
- Bachelor’s or Master’s degree in Electronics, Computer Engineering, or a related field
🛠️ Required Skills
- System-level validation
- Performance analysis
- Power optimization
- Android platforms
- Linux platforms
- SoC architecture
- CPU subsystems
- GPU subsystems
- NPU subsystems
- Memory subsystems
- Power measurement
- Performance measurement
- Python scripting
- Shell scripting
- Batch scripting
- Automation
- Data parsing
- Lab equipment operation (oscilloscopes, power analyzers, diagnostic tools)
- Analytical mindset
- Interpreting complex performance data
- Deriving actionable insights
- MLPerf
- GenAI models
- Vision workloads
- Benchmark analysis
- KPI evaluation
- Log gathering
- Profiling data collection
- Dashboard generation
🎁 Benefits & Perks
- Remote work options
- Adaptable schedules for healthy work-life balance
- Inclusive culture committed to growth, innovation, and excellence
- Career opportunities in a global engineering team
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- System-level validationintermediate
- Performance analysisintermediate
- Power optimizationintermediate
- Android platformsintermediate
- Linux platformsintermediate
- SoC architectureintermediate
- CPU subsystemsintermediate
- GPU subsystemsintermediate
- NPU subsystemsintermediate
- Memory subsystemsintermediate
- Power measurementintermediate
- Performance measurementintermediate
- Python scriptingintermediate
- Shell scriptingintermediate
- Batch scriptingintermediate
- Automationintermediate
- Data parsingintermediate
- Lab equipment operation (oscilloscopes, power analyzers, diagnostic tools)intermediate
- Analytical mindsetintermediate
- Interpreting complex performance dataintermediate
- Deriving actionable insightsintermediate
- MLPerfintermediate
- GenAI modelsintermediate
- Vision workloadsintermediate
- Benchmark analysisintermediate
- KPI evaluationintermediate
- Log gatheringintermediate
- Profiling data collectionintermediate
- Dashboard generationintermediate
Required Qualifications
- 6–9 years of experience in system-level validation, performance analysis, and power optimization (experience)
- Proven experience in executing and analyzing workloads on Android and Linux platforms (experience)
- Strong understanding of SoC architecture and subsystems including CPU, GPU, NPU, and memory (experience)
- Hands-on expertise in power and performance measurement and optimization (experience)
- Bachelor’s or Master’s degree in Electronics, Computer Engineering, or a related field (experience)
Responsibilities
- Execute and analyze CPU/GPU/AI-ML workloads and benchmarks on Android and Linux platforms
- Run and interpret power, thermal, and performance KPIs from synthetic workloads and system benchmarks
- Collect and evaluate KPIs from MLPerf, GenAI models, and vision workloads
- Gather logs and profiling data from SoC subsystems including CPU, NPU, DDR, etc.
- Monitor and report power and performance metrics for dashboard generation
- Develop and maintain automation scripts using Python, Shell, or Batch for data collection and reporting
- Operate lab equipment such as oscilloscopes, power analyzers, and other diagnostic tools
Benefits
- general: Remote work options
- general: Adaptable schedules for healthy work-life balance
- general: Inclusive culture committed to growth, innovation, and excellence
- general: Career opportunities in a global engineering team
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs