Member of Technical Staff, Inference (AI)

Location: San Francisco; authorization to work in the United States is required

Company

hirify.global is an AI research lab developing generative biological intelligence and foundation models for genomics, therapeutics, diagnostics, synthetic biology, and biodefense.

What you will do

• Drive end-to-end performance improvements across model execution, memory management, networking, scheduling, and hardware utilization.
• Develop and optimize GPU kernels, numerical operators, and inference-serving infrastructure.
• Build scalable systems for serving, monitoring, benchmarking, and operating foundation models across cloud, enterprise, and secure environments.
• Deploy biological AI models with pharmaceutical, biotech, research, and government partners.
• Collaborate with research, infrastructure, and platform teams to bring new model architectures into production.

Requirements

• Production experience optimizing, deploying, and operating large language models or other foundation models.
• Deep understanding of GPU architectures and hands-on experience with CUDA, Triton, or equivalent technologies.
• Ability to diagnose bottlenecks across model architectures, serving systems, networking, memory management, and distributed infrastructure.
• Strong software engineering skills with proficiency in Python and PyTorch or comparable modern ML frameworks.
• Experience working with customers, users, or cross-functional stakeholders to deliver production AI systems.
• Must be authorized to work in the United States; hirify.global participates in E-Verify.

Nice to have

• Experience with vLLM, TensorRT-LLM, SGLang, DeepSpeed, or similar inference frameworks.
• Contributions to open-source AI infrastructure, inference frameworks, compilers, or kernel libraries.
• Experience with distributed systems, cloud infrastructure, and large-scale GPU clusters.
• Background in biological foundation models, computational biology, genomics, or scientific AI.
• Experience operating AI systems in regulated, secure, or mission-critical environments.

Culture & Benefits

• Work on large open biological AI models with applications in therapeutics, diagnostics, synthetic biology, and biodefense.
• Collaborate with researchers across AI labs, biotechs, pharmaceutical companies, hospitals, government programs, and scientific institutions.
• Join a multidisciplinary environment spanning distributed systems, model architecture, numerics, AI safety, and biology.