Machine Learning Backend Engineer Graduate (AML MLDev) - 2027 Start
San Jose, California, United States
USD 128K-256K Entry-level Full Time
Tasks
- Analyze full stack performance
- Build model compilation system
- Collaborate with algorithm and business teams
- Design and develop high performance kernel libraries
- Develop optimization solutions
- Diagnose bottlenecks
- Fuse kernels
- Generate code
- Implement general purpose and custom kernels
- Improve computing utilization
- Optimize model compilation
- Optimize model computational performance
- Perform graph optimization
- Schedule computation
- Tune inference and training bottlenecks
Perks/Benefits
- 401k match
- Dental insurance
- Life insurance
- Medical insurance
- Paid Holidays
- Paid parental leave
- Paid personal time
- Paid sick days
- Vision insurance
- Wellbeing benefits
Skills/Tech-stack
C# | C++ | CPU architecture | Cache optimization | Code generation | Computation Scheduling | Deep Learning Training | Deep learning | Deep learning inference | GPU Architecture | Graph optimization | High Performance | High-Performance Computing | Kernel Fusion | Kernel development | MLIR | Machine Learning | Model compilation | Parallel Computing | Performance Computing | PyTorch | TVM | TensorFlow | XLA
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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