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Job CodeJR0220996
Habana Labs is a young and innovative company focused on developing purpose-built AI processors, disruptive solutions that will shape the future of AI and Deep Learning computing. Habana was founded in 2016 by successful entrepreneurs, launched its first AI Inference processor in 2018, its training processor in 2019 and was acquired by Intel in December 2019. The company now operates as an autonomous subsidiary of Intel.
Our vision to take AI processing from its current limits to the peak of its potential continues. We see challenges as opportunities, laser focus on execution and we are determined to fulfill our vision to improve the quality of life, work and leisure with our AI solutions. We are looking for exceptionally smart people who believe that AI will change the world and would like to join us on our exciting journey!
We are looking for a hands-on software engineer with strong mathematical foundation to join our AI Deep Learning Engineering team, with in-depth knowledge in AI software frameworks, performance engineering and data-science.Hands-on skills to root cause bugs and optimize for custom AI hardware and software are required.
Your responsibilities will include the following but may not be not limited to:
- Performance analysis & optimization of deep learning models at system/cluster level.
- Convergence of neural network models on large hardware clusters.
- Architect/Develop AI software tools to migrate neural network models to Habana AI accelerators.
- Debug,analyze,root-causeand resolve AIhardwareperformance issues.
- Partner with cloud service providers, software vendors to develop/optimize AI applications.
- Develop and contribute optimized neural network models to the Model Zoo.
- Develop/Optimize containers and cloud for best developer experience.
- Optimizeworkflowat system/cluster leveland partner with DevOps ondeployments.
Qualifications
You
must possess the below minimum qualifications to be initially
considered for this position. Preferred qualifications are in
addition to the minimum requirements and are considered a plus
factor in identifying top candidates.
Minimum
Qualifications:
The
candidate must have a Bachelor's degree in Computer
Engineering, Computer Science or a related
field.
4+ years of experience in the following areas:
- AI software development.
- AI performance engineering.
- Scale-out distributed computing (OS/Kernel System level debug).
- AI Frameworks (TensorFlow or PyTorch).
- C/C++, Python or shell scripting.
Preferred Qualifications:
2+ years of experience in AImachine or deeplearning.
The Data Center Group (DCG) is at the heart of Intels transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologiesspanning software, processors, storage, I/O, and networking solutionsthat fuel cloud, communications, enterprise, and government data centers around the world.
Other
Locations
US, California, San
Diego;US, Oregon,
Hillsboro
Intel
strongly encourages employees to be vaccinated against COVID-19.
Intel aligns to federal, state, and local laws and as a contractor
to the U.S. Government is subject to government mandates that may
be issued. Intel policies for COVID-19 including guidance about
testing and vaccination are subject to change over
time.
Posting
Statement
All qualified
applicants will receive consideration for employment without regard
to race, color, religion, religious creed, sex, national origin,
ancestry, age, physical or mental disability, medical condition,
genetic information, military and veteran status, marital status,
pregnancy, gender, gender expression, gender identity, sexual
orientation, or any other characteristic protected by local law,
regulation, or
ordinance.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
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