Compiler Engineer (Backend)

Posted 16 Days Ago
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Hyderabad, Telangana
1-3 Years Experience
Artificial Intelligence • Machine Learning
The Role
Compiler Backend Engineer responsible for expanding functionality and optimizations for the Celestial AI Machine Learning accelerator architecture. Collaborate with Architecture, Hardware, and ML Operations to achieve exceptional performance. Design, prototype, and analyze compiler output. Drive improvements in architecture and SW compiler with HW teams and architects.
Summary Generated by Built In

About Celestial AI

As the industry strives to meet the demands of the AI workloads, bottlenecks in data transfers between processors and memory have hindered progress. The Photonic Fabric based Memory Fabric provides an optically scalable solution to the ‘Memory Wall’ problem, enabling tens of Terabytes of memory capacity at full HBM bandwidths with low tens of nanoseconds of latency and extremely low power. The Photonic Fabric based Compute Fabric enables Terabyte class bandwidth between compute nodes at low latency and power. Photonic Fabric delivers a transformative leap in AI system performance, ten years more advanced than existing technologies.

DESCRIPTION

As Compiler Backend Engineer, you will be a key player in expanding the Backend functionality and optimizations for the Celestial AI Machine Learning accelerator architecture. We have opportunities in the areas of code generation, partitioning, kernel generation, and runtime interfaces. This role is highly collaborative with Architecture, Hardware, and ML Operations and Developers to ensure Compiler requirements and tools to achieve exceptional performance are met. The Hardware and Instruction Set Architecture (ISA) are driven from a Compiler perspective with the goal of rapidly delivering full functionality and performance across a broad spectrum of ML models with minimal Compiler complexity. The compiler design flow is iterative and fast-paced.


ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Design, prototype, and expand the functionality and performance of the compiler in the areas of code generation, partitioning, kernel generation, and/or runtime interfaces
  • Benchmark, test, and analyze output produced by the compiler
  • Work with HW teams and architects to drive improvements in architecture and SW compiler


QUALIFICATIONS

  • BS or MS in Computer Science, Engineering, or related field
  • 2+ years of experience in compilers for data parallel architectures
  • Experience in the field of compilers for Machine Learning inference models, preferred
  • Experience with the Apache TVM Hardware Backend codebase and workflow for custom code generators (BYOC), preferred
  • Effective communicator and collaborator



We offer great benefits (health, vision, dental and life insurance), collaborative and continuous learning work environment, where you will get a chance to work with smart and dedicated people engaged in developing the next generation architecture for high performance computing.

Celestial AI Inc. is proud to be an equal opportunity workplace and is an affirmative action employer.


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Top Skills

Apache Tvm
The Company
HQ: Santa Clara, CA
60 Employees
On-site Workplace
Year Founded: 2020

What We Do

Celestial AI is a Machine Learning (ML) accelerator company that has developed a proprietary technology platform which enables the next generation of high-performance computing solutions. Celestial AI’s mission is to transform data parallel computing with a proprietary Photonic Fabric™ technology platform which uses light for data movement both within chip and between chips.

Advancements in data communications have driven robust silicon photonics technology and volume manufacturing ecosystems that are ripe for commercial implementation of ML and high-performance computing (HPC) solutions which leverage integrated silicon photonics for data movement.

Celestial AI’s system delivers differentiated single node performance that scales efficiently, providing significant performance gains for multi-node and multi model applications. The scalability of Celestial AI’s accelerator architecture enables an efficient and performant mapping of data and compute over a broad range of ML model types without the need for complex software optimizations. Celestial AI’s competitive advantage will further grow over time as ML models continue to increase in complexity and size.

Celestial AI has assembled a highly experienced team of industry leaders who have a track record of building multiple successful technology businesses. The company’s Orion AI accelerator products serve an addressable market that is projected by Omida to exceed $70 billion in 2025

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