AI/ML Job: Machine Learning Compiler Engineer

Lightmatter

Machine Learning Compiler Engineer at Lightmatter

Boston, Massachusetts, United States 🇺🇸   (Posted Jun 6 2018)
About the company
Lightmatter builds chips for artificial intelligence computing. Our architecture leverages unique properties of light to enable fast and efficient inference and training engines.

Job position
Permanent

Job description
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!

We are looking for talented software engineers to help us build the next generation of AI processors.

In this role, you will be responsible for developing highly optimized computational methods for deep learning. You'll be working with deep learning scientists, as well as digital, analog, and photonic designers, to implement the features needed to accelerate the next generation of machine learning algorithms.

Job Description

Develop and implement compiler tools that translate deep learning packages (e.g. Tensorflow, Caffe, MXNET, or Theano) to machine language.

Analyze, craft, and implement compiler and linear algebra optimization techniques for neural networks.

Work with digital and analog engineers to define instruction sets that enable low-latency, high-throughput deep learning computation.

Evaluate trade-offs and optimize between different software-hardware architectures in terms of performance and efficiency.

Skills & requirements
MS or higher in computer science, computer engineering, electrical engineering, or related field.

Highly proficient in LLVM compiler infrastructure and other modern compiler design.

Highly proficient in clang, C/C++ with a strong software architecture background.

Proficient in hardware-software integration with accelerated multi-threaded and concurrent programming.

Understanding of the different computing architectures, e.g. CPU, GPU, FPGA.

Experience with maintaining a large codebase with good software engineering habits.

Instructions how to apply
see the website
[ job website ]

Let them know you found the job via https://Jobhunt.ai
(Companies love to know recruiting strategies that work)
 

Other jobs that might be interesting

Swish ML Engineer - Swish   (November 2018)
San Francisco, California, United States (Remote possible)
Use your extensive knowledge of machine learning to transform the way enterprises run their businesses. With a healthy pipeline of projects ranging from insurance modeling, call center automation, social listening, and text analytics, we are looking to bring o...
G2 Inc Machine Learning Engineer - G2 Inc   (November 2018)
Annapolis Junction, Maryland, United States
Come be a part of a team applying cutting edge Machine Learning to the cybersecurity domain! We will use state of the art ML techniques (Neural Nets, Gradient Boosting, etc.) to model behaviors, detect anomalies, cluster data, and ultimately create actionable...
Element AI Research Scientist - Machine Learning - Element AI   (November 2018)
Montreal, Canada
The research scientists are working under the leadership of the Chief Science Officer to promote the role of fundamental research to advance AI, and ensure that Element AI has access and contributes to the best science. Element AI wants to carry out fundament...
 
About Jobhunt.ai