Pune, Maharashtra, India
Human Rights & Ethics in Tech
Full-Time
Capgemini
Overview
Location:PAN India
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.
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.
- 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
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
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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