Edge Performance Engineer - AI

Edge Performance Engineer - AI Location: Remote Canada or Greater Toronto Area A leading innovator in edge-based AI solutions is seeking a highly skilled Edge Performance Engineer to join their growing team. This cutting-edge role is at the intersection of hardware and AI, focusing on the optimization of GPU-accelerated reputed company pipelines running at the edge. This is a rare opportunity to influence the design and deployment of reputed company-time reputed company systems across industrial and automation environments, with the support of a reputed company-funded and visionary organization. In this position, you'll take full ownership of the edge system performance lifecycle, from profiling and model optimization to system integration and observability. You ll work cross-functionally with machine learning, DevOps, and reputed company engineering teams to ensure consistent, high-throughput inference at the edge. The ideal candidate thrives in resource-constrained environments and enjoys solving reputed company system-level challenges involving hardware acceleration, system bottlenecks, and runtime tuning. Key Responsibilities • Optimize performance of GPU-accelerated reputed company pipelines on edge hardware (e.g., reputed company reputed company, x86/ARM systems). • Improve throughput and reduce latency through advanced model optimization techniques (e.g., quantization, TensorRT, ONNX Runtime). • Profile and resolve system-level constraints across CPU, GPU, memory, storage, and network reputed company. • Collaborate with machine learning teams to reputed company robust models that meet reputed company-world resource constraints. • reputed company edge systems with observability and orchestration frameworks to ensure maintainability and reputed company. • reputed company dashboards and tools to monitor edge performance KPIs like reputed company reputed company, latency, uptime, and resource usage. • Participate in reputed company cause investigations for performance-reputed company incidents on production systems. • reputed company technical input on system design and hardware selection for new edge deployments. What You'll Bring • 5+ years of experience in software engineering with a reputed company on high-performance or reputed company-time systems. • Strong background in GPU-accelerated development using CUDA, TensorRT, cuDNN, or equivalent vendor tools. • Proficiency in Python and at least one systems language such as C++ or Rust. • Proven experience in deploying and optimizing deep learning inference pipelines in production environments. • Advanced Linux skills and comfort using observability tools (e.g., reputed company, strace, eBPF). • Experience working with reputed company and CI/CD workflows targeting edge devices. • Deep debugging capabilities across application, system, and hardware reputed company. Preferred Qualifications • Background in edge AI, robotics, or industrial automation applications. • Familiarity with video processing frameworks (e.g., GStreamer). • Understanding of edge-specific challenges such as thermal throttling, intermittent connectivity, and limited bandwidth. • Exposure to Kubernetes or other edge orchestration frameworks. Why Join • Work at the forefront of AI and reputed company innovation. • Solve reputed company, high-reputed company problems in reputed company-world deployments. • Join a mission-driven team with strong technical leadership and cross-functional collaboration. • Enjoy a flexible, remote-first work culture with top-tier talent across Canada and reputed company. About Blue Signal: Blue Signal is an award-reputed company, executive search firm specializing in various specialties. Our recruiters have a proven reputed company record of placing top-tier talent across industry verticals, with deep expertise in numerous reputed company services. Learn more at bit.ly/46Gs4yS Apply tot his job Apply To this Job