Software Engineer (AI/ML)

TL;DR

Software Engineer (AI/ML) (Python/C++): Developing and deploying AI/ML solutions for semiconductor inspection, metrology, and process control systems with an accent on computer vision, model deployment, and high-performance software engineering. Focus on optimizing machine learning workflows with GPU acceleration, integrating AI into production systems, and building scalable cloud-enabled and edge-computing solutions.

Location: Onsite in Austin, Texas, United States

Salary: $97,600–$165,900 annually

Company

hirify.global develops electronics and semiconductor manufacturing technologies, including inspection, metrology, analytics, and process control systems.

What you will do

• Design, develop, and deploy AI/ML algorithms for semiconductor inspection, metrology, and process control applications.
• Build and optimize machine learning models using large-scale engineering and manufacturing datasets.
• Develop training, validation, deployment, and inference software workflows.
• Integrate AI capabilities into production systems with algorithm, software, application, and product teams.
• Evaluate emerging AI technologies and create proof-of-concept solutions for new product capabilities.
• Improve scalability and performance through parallel computing, GPU acceleration, and efficient software architectures.

Requirements

• Master’s degree in computer science, computer engineering, electrical engineering, applied mathematics, artificial intelligence, machine learning, or a related field; alternatively, a bachelor’s degree with two years of related experience.
• Strong programming experience in Python and C++.
• Experience developing and deploying machine learning or deep learning solutions.
• Knowledge of data structures, algorithms, software engineering principles, and object-oriented design.
• Experience working in Linux development environments.
• Ability to work onsite in Austin, Texas, United States.

Nice to have

• Experience with computer vision, image processing, computational imaging, or machine vision systems.
• Experience with TensorFlow or PyTorch.
• GPU programming experience with CUDA or other acceleration technologies.
• Experience in semiconductor manufacturing, metrology, inspection, or process control.
• Exposure to MLOps, cloud computing, distributed systems, or large-scale data platforms.

Culture & Benefits

• Collaborative work across research, engineering, applications, and product functions.
• Opportunities to solve complex technical problems in semiconductor process control.
• Medical, dental, vision, life, and other voluntary benefits.
• 401(k) with company matching and employee stock purchase program.
• Tuition reimbursement, career development programs, wellness benefits, paid time off, holidays, and family care leave.