GPU Computing Specialist

5 days ago

Chennai, Tamil Nadu, India beBeeSoftwareDeveloper Full time ₹ 1,50,000 - ₹ 28,00,000
Job Description

We are seeking a talented GPU Compute Developer to join our team.

Key Responsibilities:

  • 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
  • Innovate new ideas in conjunction with networking engineers to optimize overall data center efficiency

Hardware Integration:

  • Board bringup and validation of all low-level interactions with hardware
  • Drivers to monitor the health of the board
  • Troubleshoot and resolve hardware-software interaction issues

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 with product line management, customers and sales teams to understand requirements

Leadership:

  • Mentor and coach team members on the technical skills and approaches to solve problems

Achievements include:

Review and maintain quality of code going into production.

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.

The ideal candidate will possess :

C, C++, Linux Drive, Linux Kernel, OMMU, Experience with data center deployments : Prior experience in data center architectures, developing and maintaining software for deployments is a plus, GPU Program, CUDA, ROCm

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