Senior Software Engineer (Architecture)

About the Company:
Our client is a company building the world's highest- performance pure digital AI inference chip.
They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency.

Responsibilities:

• Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures.
• Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators.
• Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption.
• Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry.
• Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products.
• Work closely with other software and hardware engineers to develop the next generation of deep learning software.
• Collaborate with architects and hardware engineers to co-design future accelerators.

Preferred Skills & Experience:

• 10+ years of experience developing software for a variety of highly parallel architectures.
• Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs.
• Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity.
• Understanding of Deep Learning fundamentals.
• Strong development skills in C/C++, Python.
• Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority.
• Computer Science, Engineering, or related degree; preferably MS or PhD.
• Driven and self-directed.