Senior Research Software Engineer - ML/AI Systems

Harvard Central Administration (CADM) Talent Acquisition; Cambridge (MA); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Generous paid time off

Medical, dental, and vision insurance

Retirement plans with contributions

Tuition assistance

Commuter benefits

Job summary

A prestigious university is seeking a Senior Research Software Engineer to design and implement sophisticated software and data services that enhance research productivity. This hands-on role requires collaboration with researchers and technical leadership to build scalable AI/ML systems. The ideal candidate has extensive programming experience in Python and C/C++, familiarity with machine learning frameworks, and a strong background in optimizing performance in cloud environments. This position offers a hybrid work model and is a two-year term appointment.

Qualifications

• Minimum of seven years’ post-secondary education or relevant work experience.
• Strong programming skills in Python/C/C++.
• Experience working with ML frameworks such as PyTorch, TensorFlow.
• Familiarity with distributed computing.

Responsibilities

• Design, build, and maintain ML/AI systems and research software.
• Optimize machine learning training and inference pipelines.
• Collaborate with faculty, researchers, and AWS partners.
• Implement and optimize kernels using CUDA or OpenCL.

Skills

Python

C/C++

Machine Learning

Deep Learning

AWS

Data Science

Collaboration

Profiling

Education

BS or MS in Computer Science, Computer Engineering, Data Science

Tools

PyTorch

TensorFlow

CUDA

OpenMP

AWS Cloud

Job description

A prestigious university is seeking a Senior Research Software Engineer to design and implement sophisticated software and data services that enhance research productivity. This hands-on role requires collaboration with researchers and technical leadership to build scalable AI/ML systems. The ideal candidate has extensive programming experience in Python and C/C++, familiarity with machine learning frameworks, and a strong background in optimizing performance in cloud environments. This position offers a hybrid work model and is a two-year term appointment.