About the job
As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the quadric EPU. You will design and implement algorithmic optimizations to extract maximum performance out of the Quadric architecture.Responsibilities:Drive the lowering and optimization of cutting edge deep neural networks using Quadrics technologyApply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problemsCollaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architectureIdeal Candidate:MS or Ph.D. in Computer Science, or related field, with a minimum of eight years of experience in the industryStrong background in numerical and/or algorithmic optimizationUnderstanding of building application-appropriate heuristics for NP-hard problemsKnowledge of both classical as well as ML algorithms, e.g., Computer Vision, DSP, DNNs, etc.Strong background in graphs and related algorithmsNice to haves:Proficiency in C++ >= 11Experience using / developing in TVM or MLIRKnowledge of front-end and back-end compiler techniquesExpected Outcomes in 12 months:Develop a deep understanding of the hardware platform and low level software and leverage that for optimal performance of applications.Have a proven track record of implementing optimization passes for efficient lowering of deep learning and high performance computing algorithms on the Quadric EPU parallel processor.What's on Offer:Competitive salaries and meaningful equityA politics free community for the brilliant minds who want to make an immediate impactAn opportunity for you to build long term career relationshipsAn environment that allows for lasting personal relationships alongside professional one
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Who can apply
Only those candidates can apply who
have minimum 8 years of experience
are Computer Science Engineering students
Salary
Competitive salary
Experience
8 year(s)
Deadline
2027-01-01 23:59:59
