Research Engineer – Mobile Co-design
| Company | Meta |
|---|---|
| Location | Burlingame, CA, USA, Pittsburgh, PA, USA |
| Salary | $70.67 – $208000 |
| Type | Full-Time |
| Degrees | Bachelor’s, PhD |
| Experience Level | Junior, Mid Level |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- First-author publications at peer-reviewed AI conferences (e.g. DAC, ISCA, NeurIPS, CVPR, ICML, and ICLR)
- Proven C/C++ and Python programming skills
- Knowledge of GPU, CPU, DSP, or AI hardware accelerator architectures with an understanding of system performance evaluations from such as end2end latency, memory bandwidth, I/O access, compute utilization analysis with necessary tooling development
- Experience on optimizing image processing and computer vision applications for edge devices with optimizations such as vectorization, parallelization, and hardware specific SIMD and deep learning algorithms with techniques such as neural networks architecture search, pruning, and low bits quantization
- Experience with optimization on Variational Auto-Encoder, Transformers, Graph CNN, and stable diffusion models
- Familiar with frameworks like OpenCV, PyTorch, TensorFlow Lite, and ONNX
Responsibilities
- Research and development of novel optimization algorithms/techniques for achieving high energy efficiency on mobile computing platforms
- Development of optimization flow for telepresence models with native toolchain integration to accelerate compilation and deployment on the next generation of ARVR platforms
- Collaborate with other research teams to analyze telepresence algorithms and co-design optimized algorithms/models to balance performance between distortion and latency
- Collaborate with the productization team to guide product architecture design and accelerate the next generation of telepresence solutions with both off-the-shelf SoCs and inhouse accelerators
Preferred Qualifications
- PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 1+ years practical experience
- Familiar with embedded systems, Linux OS and driver development, and basic knowledge on Android application development
- Experience with custom compiler design that’s similar to MLIR and TVM
- Experience on graphics programming and 3D rendering with OpenGL/Vulkan is a plus
- Experience with algorithms optimization for Qualcomm SoCs is a plus