Senior Software Engineer – C – ON-SITE

Capgemini
  • Bengaluru
  • Post Date: June 20, 2025
  • 51617
  • Applications 0
  • Views 1
Job Overview

Location:PAN India

OpenBMC knowledge is must for this role. Linux Distribution: Yocto / any Language Choice: Modern C++ (C++17 and beyond), Python, JSON IPC Mechanism: System (D-Bus) Manageability Protocols: IPMI, RedFish

Key Responsibilities:

Software Development:

Design and implement drivers, application software that drive next generation CPU and GPU

Develop, augment and maintain software libraries for computing on GPU

Optimize code for performance, efficiency, and low latency

Hardware Integration:

Board bring up and validation of all low-level interactions with hardware

Drivers to monitor the health of the board

Troubleshoot and resolve hardware-software interaction issues

Diagnostics code that will maintain manufacturing quality

Security:

Design and implement features for verification of trusted software like secure boot

Stay up-to-date on security best practices and vulnerability remediation

Collaboration:

Work effectively in a team environment, collaborating with engineers and peer functional leads from different disciplines to innovate solutions, triage issues and speed execution

Work across geographical timezones

Enabling Competencies:

Strong programming skills:Proficiency in C, C++ and other low-level programming languages.

Operating system knowledge:Experience with Linux driver kernel development is a must. Candidate should have strong experience in Linux kernel memory management, interrupts, IOMMU

Hardware experience:Familiarity with main elements of CPU, DPU, memory, NICs, board monitoring elements is a must

Debugging and testing skills:Ability to identify and resolve software and hardware issues.

Problem-solving skills:Strong analytical and problem-solving abilities

Experience with data center deployments: Prior experience in data center architectures, developing and maintaining software for deployments is a plus

Experience with GPU programming:Prior experience GPU libraries like CUDA and ROCm is huge plus

Clear Communication: Clear written and verbal communication skills in English is required.

Job Description – Grade Specific

OpenBMC knowledge is must for this role.

Linux Distribution: Yocto / any Language Choice: Modern C++ (C++17 and beyond), Python, JSON IPC Mechanism: System (D-Bus) Manageability Protocols: IPMI, RedFish

Key Responsibilities:

Software Development:

Design and implement drivers, application software that drive next generation CPU and GPU

Develop, augment and maintain software libraries for computing on GPU

Optimize code for performance, efficiency, and low latency

Hardware Integration:

Board bring up and validation of all low-level interactions with hardware

Drivers to monitor the health of the board

Troubleshoot and resolve hardware-software interaction issues

Diagnostics code that will maintain manufacturing quality

Security:

Design and implement features for verification of trusted software like secure boot

Stay up-to-date on security best practices and vulnerability remediation

Collaboration:

Work effectively in a team environment, collaborating with engineers and peer functional leads from different disciplines to innovate solutions, triage issues and speed execution

Work across geographical timezones

Enabling Competencies:

Strong programming skills:Proficiency in C, C++ and other low-level programming languages.

Operating system knowledge:Experience with Linux driver kernel development is a must. Candidate should have strong experience in Linux kernel memory management, interrupts, IOMMU

Hardware experience:Familiarity with main elements of CPU, DPU, memory, NICs, board monitoring elements is a must

Debugging and testing skills:Ability to identify and resolve software and hardware issues.

Problem-solving skills:Strong analytical and problem-solving abilities

Experience with data center deployments: Prior experience in data center architectures, developing and maintaining software for deployments is a plus

Experience with GPU programming:Prior experience GPU libraries like CUDA and ROCm is huge plus

Clear Communication: Clear written and verbal communication skills in English is required.

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