Senior Software Engineer

Summary

Join Untether AI's top-notch engineering team and contribute to the design, development, and verification of software interacting with our cutting-edge AI chip. Collaborate with hardware engineers and fellow software engineers to create software that maximizes the chip's capabilities, bringing AI inference to a wider audience. You will identify and resolve functional/performance bottlenecks to ensure scalable and reliable software. This remote opportunity is open to North American applicants. The role involves developing efficient solutions for graph optimization problems in neural network inference acceleration, including graph partitioning, scheduling, and place and route optimization. You will also develop profiling and visualization tools and collaborate with other teams to improve performance. Untether AI offers a welcoming and diverse work environment.

Requirements

• Computer Science, Engineering, or related degree
• 5+ years of SW development experience
• Creative problem solver, passionate about solving hard problems
• Expertise in combinatorial and graph optimization algorithms
• Strong C++ and python development skills
• Experience optimizing code for high-performance and delivering it to production
• Excellent communication and collaboration skills

Responsibilities

• Design, develop, and verify software that interacts with the AI chip
• Collaborate with hardware engineers and fellow software engineers
• Identify and alleviate functional/performance bottlenecks to achieve scalable and reliable software
• Develop efficient solutions to graph optimization problems involved in allocating chip resources for neural network inference acceleration
• Address challenges such as graph partitioning, scheduling, and place and route optimization
• Develop profiling and visualization tools
• Collaborate with other teams in identifying performance bottlenecks and conceiving creative solutions

Preferred Qualifications

• Masters or PhD in Computer Science, Engineering, or related field
• EDA or FPGA place and route experience
• Relentless focus on software quality and testing
• Proficient with python data-science libraries (pandas, numpy, bokeh)
• Familiar with neural net frameworks tensorflow or pytorch
• Experience working with continuous integration systems

Benefits

• 20 vacation days
• Strong health and extended health benefits
• Unlimited sick days
• Stock options