Engineering Manager, ML Infrastructure & Operations — Forma Generative AI

Position overview

Location and work model

• Hybrid work near Autodesk's Toronto office; travel to team meetings, offsites, and conferences in the USA, Canada, and Europe is required.
• In-person onboarding and/or identity verification may be required.

Responsibilities

• Lead and develop the ML engineering team, setting priorities, coaching engineers, and supporting ownership and growth.
• Own scalable infrastructure for ML training, experimentation, model testing, deployment, and production operations.
• Set architecture and optimization strategy as model size, data, compute needs, and experimentation grow; focus on performance, utilization, and cost.
• Manage production observability, reliability, incident response, capacity planning, and continuous improvement.
• Partner with research engineering and platform teams on reusable infrastructure, deployment patterns, and standards.
• Build evaluation and release-readiness systems, including regression testing, reproducible pipelines, versioning, lineage, and release gates.

Minimum qualifications

• BS/MS in Computer Science or Engineering, or equivalent practical experience.
• 2+ years of engineering people-management experience, including coaching, prioritization, and technical delivery.
• Experience designing, building, and operating infrastructure for ML training, experimentation, and/or inference at scale.
• Experience with distributed systems in AWS, Azure, or GCP, including production observability, reliability, and capacity management.
• Strong software engineering, communication, and technical decision-making skills.

Preferred qualifications

• Experience with distributed ML training, GPU workload orchestration, and/or high-performance inference.
• Experience with foundation-model or other large-scale ML infrastructure.
• AEC industry, Autodesk, or AEC data and workflow experience; staying current with ML infrastructure and applying new approaches pragmatically.

Salary

• Canada base salary range: CAD 158,000–231,000; offers may vary by experience and geographic location and may exceed the range.
• Compensation may also include annual cash bonuses, stock grants, and benefits.

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