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Graphcore

Delivers IPU-powered AI cloud services

Senior DDR and Execution Validation Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Strong experience validating DDR, LPDDR, HBM or related DRAM technologies
  • Deep understanding of DRAM architecture, memory subsystem operation and memory controller functionality
  • Experience with firmware, BIOS and Embedded C development
  • Strong programming skills in C and Python
  • Hands-on experience using laboratory equipment including oscilloscopes and related measurement instrumentation
  • Experience interfacing with low-speed peripherals including GPIO, SPI, I2C and UART/serial interfaces
  • Experience performing functional testing and signal measurements including voltage, frequency and timing analysis
  • Strong knowledge of embedded systems and microcontroller-based platforms
  • Hands-on experience with board bring-up and hardware validation activities
  • Experience debugging complex hardware, firmware and system-level issues
  • Experience performing silicon characterization and analysing validation results
  • Strong analytical, diagnostic and problem-solving skills
  • Excellent communication and collaboration skills with the ability to work effectively across multidisciplinary teams

Responsibilities

  • Execute validation and bring-up activities for DDR and HBM memory subsystems
  • Verify memory bring-up software, firmware and scripts against defined project requirements
  • Debug firmware, hardware and system-level issues and contribute to root-cause analysis activities
  • Analyse system logs, validation data and characterization results to identify failures and performance issues
  • Perform PHY characterization and analog-level analysis during stress testing and validation activities
  • Develop and execute functional, stress, performance and corner-case validation tests
  • Perform signal integrity, voltage, frequency and timing measurements using laboratory instrumentation
  • Characterize memory bandwidth, latency, training behaviour and subsystem stability across operating conditions
  • Develop Python-based automation, test infrastructure and reporting tools to improve validation efficiency
  • Collaborate with architecture, RTL, firmware and platform teams to investigate and resolve technical issues
  • Contribute to memory subsystem debug activities spanning silicon, firmware, board and system domains
  • Support development of validation methodologies, debug procedures and reporting frameworks
  • Contribute to continuous improvement of validation infrastructure and engineering processes
  • Support silicon characterization, production readiness and qualification activities
  • Document validation results and communicate findings to the wider engineering team

Desired Qualifications

  • Experience with memory IP bring-up environments, firmware or validation software
  • Experience with DDR or HBM PHY behaviour, memory controller architectures, training algorithms and calibration flows
  • Knowledge of memory subsystem performance analysis and workload characterization
  • Experience with memory margining, stress testing and reliability validation
  • Familiarity with JTAG, trace infrastructure and low-level debug tools
  • Experience with high-performance compute, AI accelerator or data center systems
  • Understanding of signal integrity and power integrity considerations in high-speed memory systems
  • Experience developing validation automation frameworks and regression environments
  • Experience supporting first-silicon bring-up and production readiness activities

About the Company

Graphcore

Delivers IPU-powered AI cloud services

Graphcore.ai focuses on building and delivering Intelligence Processing Units (IPUs) and related AI services for enterprises. It provides IPU-powered cloud services, pre-trained AI models, optimized inference engines, and APIs on a subscription basis with on-demand pricing and free tiers through cloud partners. The IPUs accelerate AI workloads and enable scalable, cost-efficient AI deployment in enterprise applications. The company differentiates itself through specialized IPU hardware and optimized software stack, plus partnerships with cloud providers to reach customers, rather than relying on generic hardware. The goal is to help businesses scale AI-powered products and operations efficiently by offering flexible, scalable compute and ready-to-use AI components.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$1.1B
Headquarters
Bristol, United Kingdom
Founded
2016

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