Member Of Technical Staff, Pre-Training Infra GPU (AI)

TL;DR

Member Of Technical Staff, Pre-Training Infra GPU (AI): Contributing to building training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence with an accent on building and optimizing the software stack for massive GPU clusters. Focus on profiling, benchmarking, debugging, and fine-grained optimization.

Location: Starting January 26, 2026, MAI employees are expected to work from a designated hirify.global office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

Salary: USD $139,900 – $296,400 per year.

Company

hirify.global AI is dedicated to advancing Copilot and other consumer AI products and research.

What you will do

• Design, implement, test, and optimize AI models in Python and CUDA C++ for large-scale GPU clusters.
• Profile, benchmark, and debug performance bottlenecks across compute, memory, and networking subsystems.
• Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies.
• Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, AMD, and beyond).
• Gather data and insights to develop the pretraining compute roadmap.
• Actively contribute to the development of AI models that are powering our innovative products.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.
• Proven ability to profile, benchmark, and optimize performance-critical systems.
• Experience in leading technical projects and supporting architectural decisions with data.
• Experience building infrastructure for large-scale machine learning or generative AI workloads.
• Deep expertise in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.