Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI, AdTech): Building and optimizing high-scale, low-latency, geo-distributed ads serving stack, including machine learning inference for ad ranking and real-time bidding infrastructure. Focus on designing new features, optimizing performance, and building scalable infrastructure for containerized services while addressing complex technical challenges.

Location: Hybrid (Redmond, United States). Employees living within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week.

Salary: USD $139,900 – $274,800 per year (U.S.) or USD $188,000 – $304,200 per year (San Francisco Bay area and New York City metropolitan area).

Company

hirify.global aims to empower every person and organization to achieve more, fostering a culture of inclusion, respect, integrity, and accountability.

What you will do

• Design and develop large-scale, distributed systems, including CPU and GPU ranking platforms, for real-time ad request processing.
• Lead architecture discussions, create technical design documents, and drive end-to-end solution planning.
• Implement features with a focus on code quality, maintainability, and scalability; conduct thorough code reviews.
• Serve as a Designated Responsible Individual (DRI) for live-site operations on a rotational on-call basis.
• Guide testing strategies and quality assurance plans, including automation and telemetry-based diagnostics.
• Mentor engineers on software engineering best practices and drive performance improvements through debugging and refactoring.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years of technical engineering experience with coding in languages including C++, C#, Python OR equivalent experience.
• Proven experience in designing, implementing, and validating deep learning systems for real-time online inference.
• Solid expertise in optimizing machine learning models for GPUs, including developing custom CUDA kernels.
• Hands-on experience in designing, implementing, and scaling large-scale, distributed online systems.
• Proven ability to profile, analyze, and optimize performance and capacity of native C++ systems.

Culture & Benefits

• Work in a culture of inclusion with a growth mindset, focused on innovation and collaboration.
• Adherence to values of respect, integrity, and accountability.
• Hybrid work model with office presence expected four days a week for those within commute range.
• Opportunity to contribute to a system operating at exceptional scale and speed.
• Collaboration within a passionate, world-class engineering team.