Engineering Manager, ML Infrastructure & Operations — Forma Generative AI

Position overview

Location and work arrangement

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

Responsibilities

• Lead, grow, and develop a team of ML engineers; set priorities, coach engineers, and support technical ownership.
• Own large-scale ML training and experimentation infrastructure so teams can run, scale, reproduce, and iterate on experiments.
• Own workflows moving models from experimentation through product testing and into production.
• Set architecture and optimization strategies as models, data, compute needs, and experiment velocity grow; focus on performance, utilization, and cost efficiency.
• Manage production operations, including observability, reliability, incident response, capacity planning, and continuous improvement.
• Partner with research engineering and platform teams on reusable infrastructure, deployment patterns, and production standards.
• Build evaluation and release-readiness infrastructure with automated regression testing, reproducible pipelines, versioning, lineage, and release gates.

Minimum qualifications

• BS/MS in Computer Science or Engineering, or equivalent practical experience.
• At least 2 years of engineering people-management experience, including coaching, setting priorities, and driving technical delivery.
• Experience designing, building, and operating ML training, experimentation, and/or inference infrastructure at scale.
• Experience designing and operating distributed systems in a major cloud environment, including production observability, reliability, and capacity management.
• Strong software engineering, communication, and technical decision-making skills.

Preferred qualifications

• Distributed ML training, GPU workload orchestration, and/or high-performance inference experience.
• Experience building infrastructure for foundation models or other large-scale ML systems.
• Experience in the AEC industry, Autodesk, or AEC data and workflows.
• Ability to keep current with evolving ML infrastructure technologies and apply new approaches pragmatically.

Compensation

• For Canada-based roles, the expected starting base salary is CAD 158,000–231,000; offers depend on experience and geographic location and may exceed the range.
• Compensation may also include annual cash bonuses, stock grants, and benefits.