Software Development Engineer - ML Test Infra & Automation

Amazon Web Services (AWS); Austin (TX); On-site; USD 143,700 - 194,400; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Annapurna Labs (U.S.) Inc. in Austin, TX is seeking experienced Software Development Engineers to enable automation systems and test infrastructure for manufacturing environments globally.

As part of the Machine Learning Acceleration team, you will develop and maintain critical test infrastructure for ML acceleration hardware, ensuring quality and reliability across manufacturing operations. This role includes scalable test deployment, data processing, and cross-team collaboration.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems.
• Experience programming with at least one software programming language.
• Bachelor's degree in computer science or equivalent.

Responsibilities

• Develop, validate and deploy test infrastructure mechanisms into manufacturing environments globally.
• Design and manage scaled fleets of custom test equipment, ensuring optimal performance and maintenance.
• Architect and develop data processing solutions using internal cloud services to collect, analyze, and manage manufacturing test data.
• Drive manufacturing test infrastructure unification efforts between lab and production environments.
• Collaborate with cross-functional teams to implement robust automation solutions.

Skills

3+ years software development

2+ years design or architecture

Programming experience

Education

Bachelor's degree in computer science or equivalent

Job description

Annapurna Labs (U.S.) Inc. in Austin, TX is seeking experienced Software Development Engineers to enable automation systems and test infrastructure for manufacturing environments globally.

As part of the Machine Learning Acceleration team, you will develop and maintain critical test infrastructure for ML acceleration hardware, ensuring quality and reliability across manufacturing operations. This role includes scalable test deployment, data processing, and cross-team collaboration.