AI Inference Chip Software Architect
1 week ago
About the Company:
We are Targeted Talent, a company at the forefront of innovation in AI inference chip technology. Our mission is to push the boundaries of performance and efficiency in artificial intelligence.
Job Description:
We are seeking an exceptional Senior Software Engineer with expertise in designing and developing software that interacts with our high-performance pure digital AI inference chip. As a key member of our team, you will collaborate with hardware and software engineers to optimize software for highly parallel architectures, ensuring maximum performance and efficiency.
Key Responsibilities:
- Advance the state-of-the-art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across various 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 trade-offs of different parallelization strategies considering performance, power, energy, and memory consumption.
- Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry.
- Maintain up-to-date knowledge of the fast-paced development happening in the industry and academia to continuously enhance our products.
- Collaborate closely with other software and hardware engineers to develop the next generation of deep learning software.
- Work with architects and hardware engineers to co-design future accelerators.
Requirements:
- 10+ years of experience developing software for 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 ability to resolve complex issues with high ambiguity.
- Understanding of Deep Learning fundamentals.
- Expert development skills in C/C++ and Python.
- Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without direct managerial authority.
- Computer Science, Engineering, or related degree; preferably MS or PhD.
- Driven and self-directed.
Compensation:
The estimated salary range for this position is between $180,000 and $250,000 per year, depending on qualifications and experience. We offer a comprehensive benefits package including 20 vacation days, strong health and extended health benefits, unlimited sick days, and stock options.
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