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Deep Learning Compiler Engineer
3 months ago
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.
If making an impact and having a seat at the table is important to you, this is the opportunity for you.
In this position, you will be a core member of our team, and will have an opportunity to grow in the company of expert technologists who also happen to be good people you'll want to spend time with.
What We Value:
Integrity, Humility,
Happiness What We Expect:
Initiative, Collaboration,
Completion Role:
As a senior member of our platform software engineering team, you will be tasked with lowering and optimizing neural networks on the Quadric GPNPU.
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 Quadric's technology Apply your skills and expertise in mathematical & algorithmic optimization toward solving NP-hard problems Collaborate within the software team to develop algorithms that optimize graph-based execution on the Quadric architecture Requirements MS or Ph.
D.
in Computer Science, or related field, with a minimum of eight years of experience in the industry Understanding of building application-appropriate heuristics for NP-hard problems Strong background in graphs and related algorithms Knowledge of front-end and back-end compiler techniques including code generation & optimization C++ & Python programming languages Experience in developing within TVM, MLIR or LLVM Benefits Provide competitive salaries and meaningful equity Provide a politics free community for the brilliant minds who want to make an immediate impact Provide an opportunity for you to build long term career relationships Foster an environment that allows for lasting personal relationships alongside professional one Founded 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.
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.
We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.