Software Engineer, AI Compiler

Black Sesame; San Jose (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Black Sesame in San Jose, CA is seeking an experienced Software Engineer for AI Compiler responsibilities, focusing on deploying AI inference and framework integration on BST Intelligence processors. You will work on deep learning infrastructure, data pipelines, and real-time inference, with emphasis on low-precision inference, quantization, and performance optimization.

This role requires strong C++/C or Python, plus ability to define goals, work independently, and stay current with research in

Qualifications

• Master's or PhD in CS/CE/Applied Math or related field.
• Ability to define project goals and lead development.
• Strong C++/C or Python programming and software design, including debugging and performance analysis.
• Expertise in Cadence DSP programming.
• Nice to have: experience with DL frameworks like TensorFlow, PyTorch, MXNet.

Responsibilities

• Contributing to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.
• Writing software to deploy AI models and pipelines in real time applications (inference).
• Apply low precision inference, quantization, and compression of DNNs.
• Continuously improve inference latency, accuracy and power consumption of DNNs.
• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.

Skills

C++

Python

Software design

Debugging

Performance analysis

Cadence DSP

Education

MS or PhD in CS/CE/Applied Math

Job description

Home > Jobs > Software Engineer, AI Compiler

Software Engineer, AI Compiler

San Jose, US

2025-03-13

Job Qualification

You are graduating with a MS, or Ph.D. degree in Computer Science, Computer Engineering, Applied Math, or related field.

You can work independently, define project goals and scope, and lead your own development effort.

Strong C++/ C or Python programming and software design skills, including debugging, performance analysis, and test design.

Strong expertise on one of these directions:

• Cadence DSP programming

Ways to stand out from the crowd:

• Numerical methods experience
• Knowledge of computer architecture
• Experience with Deep Learning Frameworks such as TensorFlow, PyTorch, and MXNet

Job Description

We are looking for an experienced AI/ML engineer passionate about deploying AI inference and end to end enablement, AI framework integration, model accuracy, and performance analysis and tuning. You might be an ideal candidate if you are seeking to develop high quality, innovative, and scalable software that enables state of the art AI inference models to run efficiently and accurately on the BST Intelligence processors.

Responsibilities:

• Contributing to deep learning infrastructure, data pipelines, tools and workflows that lay the foundation for building AI at scale.
• Writing software to deploy AI models and pipelines in real time applications (inference).
• Apply low precision inference, quantization, and compression of DNNs.
• Continuously improve inference latency, accuracy and power consumption of DNNs.
• Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.

Job Location: 2290 N 1st. St. STE100 San Jose, CA 95131