Mts – Platform Engineer (Compute Abuse) (AI)

TL;DR

MTS – Platform Engineer (Compute Abuse) (AI): Building secure and efficient platform services that detect and prevent compute abuse while ensuring legitimate workloads get needed GPU/CPU resources with an accent on abuse detection and resource optimization. Focus on delivering fast, secure, and dependable execution that ensures AI workloads run smoothly and efficiently.

Location: Must work from a designated hirify.global office at least four days a week if you live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

Salary: USD $119,800 – $234,700 per year (the U.S.) or USD $158,400 – $258,000 per year (San Francisco Bay area and New York City metropolitan area)

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Build secure, efficient platform services that detect and prevent compute abuse while ensuring legitimate workloads get needed GPU/CPU resources.
• Collaborate with infrastructure, security, and product teams to design scalable, reliable, and maintainable abuse-prevention systems.
• Deliver production-quality code iteratively, developing tools, dashboards, and automation to monitor and mitigate wasted or malicious compute usage.
• Ensure AI workloads run efficiently and fairly, balancing throughput, latency, and priority across shared resources.

Requirements

• Do you have a Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience?

Nice to have

• Bachelor’s degree in Computer Science or related technical discipline and 6+ years of technical engineering experience, or equivalent experience.
• Proficiency in coding languages such as C, C++, C#, Go, Java, Python, and/or Rust.
• Strong collaborator with proven ability to communicate complex technical concepts clearly to technical and non-technical stakeholders and work effectively with cross-functional teams.
• Skilled at designing and operating reliable, high-performance systems, detecting and mitigating resource abuse, and writing clean, maintainable, and secure code.
• Hands-on experience with AI platforms, ML frameworks, APIs, and large-scale compute clusters, including monitoring, scheduling, and resource optimization.

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• The company build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.