Deep Learning Compiler Engineer

About the Role

Quadric is pioneering a unique general purpose neural processing unit (GPNPU) architecture tailored for diverse edge and endpoint devices, including battery-powered smart sensors as well as high-performance automotive and autonomous vehicle systems. Unlike conventional neural network accelerators that only handle segments of machine learning graphs, Quadric's GPNPU runs both neural network graph code and traditional C++ DSP and control code seamlessly. We invite you to join our tight-knit, rapidly expanding team to work on supercomputer technologies optimized for the Edge. Here, you will directly contribute to impactful projects alongside expert technologists in a collaborative, integrity-driven environment.

Key Responsibilities

• Lead efforts to lower and optimize cutting-edge deep neural networks using Quadric's hardware and software platforms.
• Utilize your deep expertise in mathematical and algorithmic optimization to tackle NP-hard problems effectively.
• Work collaboratively within the software engineering team to design algorithms that enhance graph-based execution performance on the Quadric architecture.

Candidate Requirements

• Possess an MS or Ph.D. in Computer Science or a closely related discipline with at least eight years of professional experience.
• Demonstrate strong capabilities in numerical methods and algorithmic optimizations.
• Have a thorough understanding of heuristic approaches for solving NP-hard problems.
• Familiarity with classical algorithms and machine learning methods encompassing Computer Vision, DSP, and Deep Neural Networks.
• Solid knowledge of graph theory and associated algorithms.

Preferred Skills

• Proficiency in C++ version 11 or higher.
• Experience with TVM or MLIR frameworks.
• Understanding of compiler front-end and back-end engineering.

Expected Achievements Within 12 Months

• Acquire comprehensive expertise regarding the hardware platform and low-level software ecosystems and leverage this for optimal application performance.
• Establish a record of successfully implementing optimization passes to efficiently lower deep learning and high-performance computing workloads on the Quadric EPU parallel processor.

Benefits and Work Environment

• Competitive salary packages accompanied by meaningful equity shares.
• A professional setting free from office politics, fostering creativity and innovation.
• Opportunities to cultivate long-term professional relationships and career growth.
• An inclusive workplace that encourages building enduring personal and professional connections.

Company Background

Founded in 2016 and headquartered in downtown Burlingame, California, Quadric is focused on creating the world's first supercomputer tailored to real-time edge device requirements. Founded by MIT and Carnegie Mellon technologists, Quadric is dedicated to empowering developers across industries with transformative computational capabilities.

Diversity and Equal Opportunity

Quadric is an affirmative action and equal opportunity employer. We are dedicated to providing equal employment opportunities regardless of race, religion, gender, national origin, sexual orientation, age, citizenship, marital status, or disability status.