Deep Learning Compiler Engineer

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.RoleAs 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.ResponsibilitiesDrive the lowering and optimization of cutting edge deep neural networks using Quadric's 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 architectureQualificationsMS 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 havesProficiency in C++ >= 11Experience using / developing in TVMKnowledge of front-end and back-end compiler techniquesExpected Outcomes in 12 monthsDevelop 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.Core ValuesAt Quadric, we value Integrity, Humility, and Happiness. What we expect from one another is simple and clear: Initiative, Collaboration, and Completion. We are a collaborative team focused on building something extraordinary in the edge computing space.BenefitsCompetitive salary and meaningful equityMedical, dental, and vision plan options starting on day one401(k) retirement planFlexible paid time off (unlimited, non-accrual) to support work-life balanceWhen working in-office, enjoy company-provided lunches and a stocked kitchenConvenient office location within walking distance of the Caltrain stationSupport for commuting, including monthly parking or Caltrain passesDowntown Burlingame office location, close to shops, cafes, and local amenitiesA politics-free, highly collaborative environment where talented people can do their best work and make an immediate impactThe opportunity to build long-term career relationships in a company that values strong personal connections alongside professional excellenceFounded in 2016 and based in downtown Burlingame, California, Quadric is building the world's first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow's technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.Quadric is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where people from all backgrounds can do their best work. We consider all qualified applicants without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.If this role resonates with you, we encourage you to apply even if your experience does not perfectly match every qualification. We value potential, curiosity, and a willingness to learn just as much as direct experience. Skills and growth come in many forms, and we would love to hear your story.J-18808-Ljbffr