Senior Software Architect, AI Systems and Networking

Ladders; United States; Remote; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity opportunities

Diverse work environment

Leading technology in AI & networking

Job summary

Ladders is seeking a Senior Software Architect, AI Systems and Networking to join a leader in Manufacturing & Automotive. This remote role shapes advanced AI networking solutions for scalable inference workloads and partners with hardware, software and research teams to co-design architectures.

We expect a strong systems thinker with deep AI/ML knowledge and 8+ years of experience; proficiency in C/C++ (Rust a plus).

Qualifications

• Advanced degree in CS/EE or related field.
• 8+ years of relevant experience in academia or industry.
• Deep knowledge of AI workloads and inference impact on networks.
• Strong background in ML/DL fundamentals and inference frameworks.
• Proficiency in C/C++ for systems software; familiarity with Rust is a plus.

Responsibilities

• Research, design, and implement AI networking technologies to accelerate inference workloads.
• Collaborate with hardware, software, and research teams to co-design AI inference solutions.
• Create prototypes and solutions for next-generation AI inference systems.
• Drive architectural decisions for deploying and scaling AI inference using the company’s technology.

Job description

For our client, we are seeking a Senior Software Architect, AI Systems and Networking to join the team of a leader in the Manufacturing & Automotive space.

This role will shape advanced AI networking solutions that improve the performance and scalability of inference workloads in a fast-evolving technical environment. You will partner closely with hardware, software, and research teams to co-design architectures that support next-generation AI systems. The position calls for deep systems thinking, strong technical leadership, and the ability to influence architecture decisions that impact deployment at scale.

Location: Remote

Compensation: $224,000 - $431,250 annually

Responsibilities

• Research, design, and implement advanced AI networking technologies to accelerate inference workloads
• Collaborate with hardware, software, and research teams to co-design solutions for AI inference
• Create prototypes and solutions for next-generation AI inference systems
• Drive architectural decisions for deploying and scaling AI inference using the company's technology

Qualifications

• Master's or Ph.D. in Computer Science, Electrical or Computer Engineering, or equivalent experience
• At least 8 years of relevant academic or professional experience in the field
• Comprehensive understanding of AI workloads, particularly inference, and their impact on network infrastructure
• Strong proficiency in Machine Learning/Deep Learning fundamentals, inference runtimes, and frameworks
• Proficiency in C or C++ for systems software development; familiarity with Rust is a plus

Benefits

• Generous benefits package including equity opportunities
• Supportive and diverse work environment
• Opportunity to work with leading technology in AI and networking

Our client is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification - your background could be exactly what this team needs.