Senior Deep Learning Software Engineer, Inference

Location: Remote – US-based candidates only, no visa sponsorship available

Compensation: $152,000 – $287,500 annually

About the role

This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will work across engineering, product, operations, and business stakeholders to translate complex requirements into practical technology solutions. The position offers the opportunity to influence architecture, execution quality, and the technology capabilities that enable long-term growth within a Telecommunications & Hardware environment.

Responsibilities

• Optimize performance of deep learning models in LLM, Multimodal, and Generative AI fields
• Scale performance of DL models across various the company accelerator architectures
• Contribute features and code to the company’s inference libraries like vLLM and SGLang
• Collaborate with teams to innovate solutions for inference optimization
• Build and optimize GPU-accelerated software for AI applications

Qualifications

• Masters or PhD in Computer Engineering, Computer Science, EECS, AI, or equivalent experience
• 5+ years of software development experience
• Excellent C/C++ programming and software design skills
• Experience with training, deploying, or optimizing DL models in production is a plus
• Background in performance modeling, profiling, and code optimization or architectural knowledge of CPU and GPU is beneficial
• GPU programming experience with company technology is a plus

Benefits

• Comprehensive benefits package including equity options
• Opportunity to work with top talent in technology sector
• Creative and autonomous work environment
• Access to cutting-edge technologies and projects