Senior ML Infrastructure Engineer (Compute)

What you'll do

• Design and implement core backend software components for the AI validation platform.
• Scale and optimize GPU utilization for simulation workflows and machine learning models.
• Lead technical decision-making regarding compute architecture, cloud capacity, caching, and auto-scaling.
• Develop monitoring, observability, and metrics systems to ensure infrastructure reliability and performance.
• Research and integrate hardware accelerators, distributed computing techniques, and relevant frameworks.
• Translate complex simulation workflows from internal stakeholders into actionable platform requirements.
• Lead large-scale technical initiatives across the organization's machine learning infrastructure.
• Establish engineering best practices and provide technical leadership to raise the team's standards.

What we're looking for

• 4+ years of industry experience with a focus on high performance backend services.
• Strong expertise in Go or other similar coding languages.
• Experience working with cloud platforms such as GCP, Azure, or AWS.
• Proven ability to lead and deliver cross-functional initiatives.
• Strong communication skills and the ability to thrive in a dynamic, multi-tasking environment.
• Hands-on experience with Google Compute Engine (preferred).
• Experience with hardware-in-the-loop validation systems (preferred).
• Experience with high performance computing or GPU optimization (preferred).