Lead Research Software Engineer, Portable AI Performance Engineering

Functional Area: Information Technology

Department: MA Green High Performance Computing Ctr

School Area: MA Green High Performance
Computing Ctr

Pay Range Minimum: $102,350

Pay Range Maximum: $138,700

Employment Type: Full-Time Temporary

Employment Category: Exempt

Visa
Sponsorship Available: No

Schedule: 2-year position

Pay Grade:
10

Posting Description

LEAD RESEARCH SOFTWARE ENGINEER,
PORTABLE AI PERFORMANCE ENGINEERING, MA Green High Performance Computing Center, to be a hands-on research software
engineering professional and serve as lead for applied performance engineering for AI workloads. Will work closely with research groups and
leading computer industry collaborators to evaluate, adapt, and enhance the portable performance of complex AI research workloads on
state-of-the-art hardware. The role will have heavy focus on optimizing existing NVIDIA GPU-based workloads for top-tier AMD GPUs, such as
MI355X and beyond and will analyze and profile existing research AI workloads to identify performance bottlenecks and portability
challenges; and port and optimize complex AI models and scientific code to run efficiently on AMD MI355X GPUs using ROCm, HIP, and related
translation tools.

Job Requirements

REQUIRED: Bachelor’s degree or
equivalent with a minimum of five years of work experience in either deeply technical fields and/or computational research experience;
strong proficiency in Python and C++, with deep familiarity with AI/ML frameworks (PyTorch, TensorFlow, JAX); hands-on experience with GPU
programming models (e.g., CUDA, HIP, or OpenCL); experience with performance profiling and benchmarking tools on Linux-based
High-Performance Computing systems; excellent communication skills; ability to collaborate effectively with academic researchers and
industry partners; and self-motivated with the ability to work independently in a remote or hybrid environment. PREFERRED: Direct
experience with the AMD ROCm software stack and translating CUDA code to HIP; familiarity with AI agentic tools and Large Language Models
(LLMs) used for code generation and refactoring; background in supporting large-scale, domain-specific scientific research (e.g., physics,
biology, climate science) on institutional clusters; direct experience with one or more open-source schedulers and provisioners; experience
with Linux container technologies such as LXC, apptainer and systemd-nspawn; or advanced degree in a relevant technical field.

The
Lead Software Engineer must comply with all relevant MGHPCC security policies.

This is a two-year term position.

3/13/2026

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