Finding the best job has never been easier
Share
What you will do
Build, support, develop and maintain the GPU/Accelerator infrastructure for AI/ML and GPU compute frameworks
Participate in and collaborate with the GPU/Accelerator upstream communities, including working directly with the hardware vendors engineers
Optimize the GPU/Accelerator infrastructure to maximize the performance of the GPU compute stack
Work closely with key stakeholders within Red Hat who will use the infrastructure you build to accelerate AI/ML frameworks, such as PyTorch
What you will bring
Expertise in C/C++, Python, Rust and Linux scripting tools
Upstream development experience with the internals of the GPU compute stack, such as oneAPI, ROCm or CUDA
Familiarity with the drm subsystem in the Linux kernel
Experience developing Linux kernel device drivers
Ability to work Hybrid from Boston MA, Lowell MA or Raleigh NC
The following are considered a plus
Bachelor's degree in computer science or related field; Master's degree or PhD is a big plus
Experience in operating system integration and tooling; RHEL experience is a big plus
Familiarity with PyTorch, TensorFlow or similar AI/ML platforms
Knowledge of Git version control system
Passion for developing open source/FOSS solutions
The salary range for this position is $127,890.00 - $211,180.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
These jobs might be a good fit