Senior Software Test Engineer
3 weeks ago
Job description: About the Role We are seeking a highly skilled Senior Software Testing Engineer to lead advanced validation efforts across Neural Processing Unit (NPU) software, AI workloads, Windows AI features, and machine learning quantization workflows. This role focuses on ensuring software stability, certification readiness, and optimal performance across next-generation Windows AI platforms. You will collaborate closely with cross-functional teams, including firmware, driver, software, and Microsoft engineering partners. Key Duties & Responsibilities Perform comprehensive software validation of NPU-related firmware, drivers, and execution layers to ensure performance, functionality, and power efficiency meet certification requirements. Participate in certification processes for the NPU Execution Provider (NPU EP) to ensure compatibility and reliability within Microsoft AI frameworks. Generate detailed test reports, log defects, and provide actionable feedback to firmware, driver, and software teams to improve throughput, stability, and feature compliance. Validate AI workloads running on NPU hardware, focusing on software-level performance, scalability, and stability under varying test conditions. Collaborate with Microsoft engineering teams to certify DirectML Execution Provider (DML EP) functionality and ensure alignment with AI workload requirements. Debug and troubleshoot AI inference and training pipelines during validation to ensure smooth software integration on Windows AI platforms. Conduct functional, performance, and security testing of Windows AI Copilot features built for NPU-enabled devices. Validate end-to-end user scenarios across Co-Pilot applications such as Paint Co-Creator, Live Translation, Recall, and Settings Agent. Analyze software telemetry, system logs, and user feedback to identify defects and collaborate with development teams for timely issue resolution. Develop, implement, and validate software-based quantization methods using the Olive toolchain and other AI frameworks to optimize model size while maintaining accuracy. Perform quantization-aware validation to ensure models meet required quality and performance benchmarks on resource-constrained platforms. Benchmark quantized models across multiple hardware targets and AI workloads to verify consistency, compatibility, and certification readiness. Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. 5–10 years of experience in software testing, validation, or quality engineering (ideally in AI, ML, or NPU systems). Strong understanding of machine learning frameworks, AI workload execution, and performance testing. Hands-on experience with Windows platform testing, hardware-software integration, and debugging tools. Familiarity with quantization methods, ONNX, DirectML, Olive, or similar ML toolchains (preferred). Excellent analytical, problem-solving, and communication skills; ability to collaborate with global engineering teams.
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, , Canada Beacon Software Full timeBeacon Software is a permanent capital holding company which acquires and grows essential businesses. We are a profitable series B+ firm that combines great technologists, operators and M&A professionals to accelerate the scale of the ambition of the dozens of businesses we own and operate. We are supported by capital from tier-1 venture capital, crossover,...
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, , Canada ECI Software Solutions Full timeA leading software company is looking for a Senior Test Automation Engineer to drive product modernization efforts towards a SaaS-based architecture. This remote position involves creating and maintaining automated test capabilities in CI/CD pipelines. Ideal candidates will have extensive experience in software engineering, particularly with C#, and a strong...
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