Sr. Engineering Manager, AI on Sensor (Hybrid)

Role and product

What you'll do

• Build and lead a team delivering AI-based capabilities across the sensor platform; own the endpoint AI roadmap, model operationalization, telemetry pipelines, and efficient on-device inference.
• Partner with data science, cloud, and sensor platform teams to turn research into shipped product; own major components and development projects, hiring, training, and team growth.
• Assist with architecture and implementation of core features crossing file-system, memory, process, and networking subsystems, including shared components across platforms.
• Lead projects to maximize performance and minimize cost while maintaining design, code-quality, unit-testing, and component-testing standards.
• Collaborate with sensor development teams on architecture and strategy; conceptualize and develop product features and guide cross-platform software delivery.
• Own features from design through delivery, including sprint-end product demonstrations, and collaborate with distributed cross-functional teams.

What you'll need

• General knowledge and understanding of C++ and Windows, macOS, and Linux operating-system internals.
• Hands-on experience operationalizing machine-learning models on endpoints and building telemetry pipelines for model training, evaluation, and on-device inference.
• Experience working with teams to ship major features and releases.
• Previous experience as a Senior Manager or Engineering Manager with direct reports.
• Ability to lead, mentor, communicate, collaborate, and work effectively in a distributed team.
• Bonus: scalable, lightweight, high-performance systems; operating-system core concepts and subsystems; Agile; and security-landscape expertise.

Compensation

• For Canada, the posting lists a base salary range of CAD 175,000–250,000 per year, plus variable or incentive compensation, equity, and benefits.
• A separate U.S.-candidate range is listed as CAD 160,000–250,000 per year.

Benefits

• Benefits include wellness programs, vacation and holidays, paid parental and adoption leave, professional development, employee networks, and volunteer opportunities.