Lightmatter builds chips for artificial intelligence computing. Our architecture leverages unique properties of light to enable fast and efficient inference and training engines. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems and doing impactful work.work like building the world's first optical computers, consider joining the team at Lightmatter!
Responsibilities
- Research and build state-of-the-art and novel machine learning algorithms that leverage our unique hardware for different semantics of data (images, video, text, audio, and other modalities).
- Understand and analyze the interplay between machine learning software and hardware.
- Drive the hardware-software co-design of our deep learning platformfrom silicon to deep learning frameworks.
- Develop detailed performance models and benchmarks for a large-scale photonic deep learning accelerator.
Requirements
- PhD in computer science, physics, or mathematics required.
- 5+ years experience in artificial intelligence, machine learning, and neural networks; preferably with strong publication records.
- Highly proficient in machine learning and deep learning programming languages and framework, e.g. Python, C++, Tensorflow, PyTorch, Caffe, Keras.
- Ability to manipulate and analyze complex, high-volume, high-dimensional data from different sources.
- Solid understanding of different machine learning accelerator architectures, e.g. GPU, ASIC, and FPGA.
Benefits
- Health Care Plan (Medical, Dental amp; Vision)
- Retirement Plan 401k
- Life Insurance (Basic, Voluntary amp; ADamp;D)
- Paid Time Off (Vacation, Sick amp; Public Holidays)
- Stock Option Plan
- Family Leave (Maternity, Paternity)