Product Development and NPI Lead

At Global Traffic Group (GTG), we lead with purpose: building safer roadways and smarter, more connected communities. With innovative traffic safety and enforcement technologies, we are shaping the infrastructure of tomorrow, built on data, driven by safety, and empowered by partnerships. As we grow, we are seeking a bold, visionary, and results-driven Product Development and NPI Lead who can take our AI-enabled products from prototype to volume production. We’re looking for a hands‑on Product Development and NPI Lead to take our AI-enabled electronic and electromechanical products from working prototypes into reliable, cost-effective production. You’ve personally taken physical products from the bench into production runs of hundreds or thousands of units, and you know what breaks along the way. You’ll work with cameras, sensors, radar, and embedded systems that use computer vision and AI to make roads safer, partnering with Operations, suppliers, contract manufacturers, and our AI specialists. Apply DFM/DFA from the outset, including component selection, tolerances, assembly methods, and testing. Solve Scale‑up Problems: Find and fix assembly inconsistencies, supplier quality issues, component shortages, and production bottlenecks. Drive Down Cost: Reduce unit cost, assembly time, rework, and scrap without compromising performance or field reliability. Select and manage suppliers and contract manufacturers for cost, quality, and lead time. Build with Vision and AI: Integrate cameras, sensors, radar, and embedded hardware with computer vision and AI for traffic safety products. Test and Deploy: Lead prototyping, validation, field testing, and deployment of traffic and vision-based systems. Manage engineering projects end to end and guide engineers, technicians, vendors, and manufacturers. Degree in Mechanical, Mechatronics, Electrical, Manufacturing, or related Engineering, or equivalent experience ~8+ years developing physical products, including senior technical or project leadership ~ Proven personal contribution to taking at least one electronic or electromechanical product from prototype into volume production ~ Strong experience with AI, machine learning, or computer vision in physical products ~ Hands‑on experience with cameras, sensors, embedded systems, programming (Python, C/C++, MATLAB), and CAD (SolidWorks or CATIA) ~ Practical knowledge of DFM/DFA, supplier quality, and quality systems ~ People management, Lean, Six Sigma, or ISO experience is an asset AI-Forward Engineer: Brings strong computer vision and machine learning experience to physical, field-deployed products Consistently finds ways to reduce unit cost and improve yield without sacrificing quality Independent Operator: Highly self-directed and comfortable owning projects from concept to production Explains technical risks and recommendations clearly to engineers and executives Make a tangible difference in road safety, urban efficiency, and community well‑being. On site Parking This position is a full‑time, 40hr/week requirement On-site requirement Travel as required for testing, deployment, and supplier visits Flexibility to work overtime to meet deadlines as required Successful applicant must be a Canadian resident or lawfully able to work in Canada. Accommodation is available throughout the hiring process.