Edge-Optimized AI Software Engineer

webAI; Austin (TX); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Equity options

Comprehensive health benefits

401(k) match

$200/month Health & Wellness stipend

Continuing Education support

$500/year Function Health subscription

Free parking for in-office employees

Flexible Time Off

Parental leave

Supplemental life insurance

Job summary

webAI in Austin, Texas is seeking an AI Software Engineer to leverage deep expertise in high-performance computing and machine learning. This role involves deploying ML models into production, optimizing performance, and collaborating with AI Scientists on innovative projects. Candidates should possess 5+ years in software engineering, proficiency in C++ and Python, and experience with Docker and Kubernetes. The position offers competitive salary and extensive benefits including equity options and health stipends.

Qualifications

• 5+ years in Software Engineering or equivalent with focus on ML-specific systems.
• Deep experience in distributed computing.

Responsibilities

• Wrap models in high-performance APIs and integrate them into the software ecosystem.
• Build and maintain ETL pipelines for AI experiments and production inference.
• Implement techniques like pruning, quantization, and distillation.
• Develop robust testing suites for AI behaviors.
• Refactor research code into production-grade maintainable code.

Skills

High-performance computing

Machine learning inference

C++

Python

Docker

Kubernetes

ETL pipelines

CI/CD for ML

Education

Bachelor’s or Master’s in Computer Science

Tools

Vector Databases (Pinecone, Weaviate)

Job description

webAI in Austin, Texas is seeking an AI Software Engineer to leverage deep expertise in high-performance computing and machine learning. This role involves deploying ML models into production, optimizing performance, and collaborating with AI Scientists on innovative projects. Candidates should possess 5+ years in software engineering, proficiency in C++ and Python, and experience with Docker and Kubernetes. The position offers competitive salary and extensive benefits including equity options and health stipends.