Software Engineer, Backend

This role offers a unique opportunity to work on the core systems that power Sciforium’s multimodal AI models. You’ll help build the model serving platform working across C++, Python, runtime execution, and distributed infrastructure to create a fast, reliable engine for real-time AI applications.

You’ll gain hands-on experience with performance engineering, learn how large AI models are optimized and deployed at scale, and collaborate closely with ML researchers and experienced systems engineers. If you enjoy low-level programming, care deeply about performance, and want exposure to the full AI stack, this role provides both high-impact work and strong growth potential.

Experience with ML systems engineering, open source inference engine like vLLM, Sglang, or TRT-LLM

Proficiency in CUDA or ROCm and experience with GPU profiling tools

Contributions to open-source ML or HPC infrastructure

Opportunity to build frontier-scale AI infrastructure powering next-generation LLMs and multimodal models.

Work with top-tier engineers and researchers across systems, GPUs, and ML frameworks.

Tackle high-impact performance and scalability challenges in training and inference.

Access state-of-the-art GPU clusters, datasets, and tooling.

Opportunity to publish, patent, and push the boundaries of modern AI

Join a culture of innovation, ownership, and fast execution in a rapidly scaling AI organization.

Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.