Mid-Level Software Engineer, Ads Platform

Jobright.ai; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

SpaceXAI is seeking exceptional ads engineers to integrate AI infrastructure into an Ads Platform, building high-performance advertising products at scale. You will work on distributed systems, take features from ideation to maintenance, and leverage AI stacks to enhance revenue-driving products.

Ideal candidates have 3+ years in full stack development, backend technologies, distributed systems, and a passion for performance, reliability, and product impact.

Qualifications

• 3+ years of industry experience building large scale and high-performance advertising products.
• Strong software engineering fundamentals with expertise in full stack development.
• Proven ability to write clean, scalable, and maintainable code in a collaborative environment.
• Solid understanding of backend technologies, distributed systems, and data processing pipelines.
• Excellent problem-solving skills and a passion for performance, reliability, and product impact.
• Obsessed with building great product experiences.

Responsibilities

• Be involved in the full array of xAI’s work, including ideation, experimentation, implementation, and maintenance of distributed systems and product features
• Leverage all of xAI’s infra and AI stacks to dramatically enhance advertising products
• Own and operate systems and products driving the majority of X’s revenue

Skills

Full stack development

Advertising products experience

Backend technologies

Distributed systems

Data processing pipelines

React

Golang

Python

Rust

GRPC

Problem-solving skills

Communication skills

Tools

React

Golang

Python

Rust

GRPC

Job description

SpaceXAI is seeking exceptional ads engineers to integrate AI infrastructure into an Ads Platform, building high-performance advertising products at scale. You will work on distributed systems, take features from ideation to maintenance, and leverage AI stacks to enhance revenue-driving products.

Ideal candidates have 3+ years in full stack development, backend technologies, distributed systems, and a passion for performance, reliability, and product impact.