Voice AI Systems Test Engineer-Senior engineer

Skip to main contentOur CompanyOur BusinessSearch for JobsJoin Talent NetworkFAQsProfileEnglishSign InSingle PositionView All JobsVoice AI Systems Test Engineer-Senior engineerHyderabad, Telangāna, IndiaApply NowAdd to Job CartFind out how well you match with this jobUpload your resumeJob descriptionCompany and benefitsJob ID3088300Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Systems Test EngineeringGeneral Summary:Job OverviewJoin Qualcomm’s Multimedia Systems Group as a Voice AI Systems Test Engineer, responsible for end-to-end validation of Voice AI features, Model evaluation, and quality KPIs sign-off for on-device Voice AI features for next-generation multimedia platforms.In this role, you will focus on validation, benchmarking, data-driven evaluation, competitive analysis of Always-On AI and Agentic AI voice use cases, which includes ASR, TTS, multilingual translation, and intelligent voice assistants. Your work will ensure that Qualcomm’s Voice AI solutions meet and exceed market expectations by matching or outperforming reference implementations and competing solutions across performance, quality, latency, power, and robustness.ResponsibilitiesVoice AI Validation & System Testing· Perform system-level validation and testing of Voice AI features, with emphasis on Always-On AI and Agentic AI use cases.· Design, execute, and maintain comprehensive test plans for Voice AI pipelines including ASR, TTS, NLP, Translation, Summarization, and Language Models.· Validate functional correctness, latency, power, memory, and long-run stability of Voice AI systems on embedded hardware (NPU, GPU, CPU).· Maintain Performance dashboardo Detect regressionso Identify quality gapso Predict performance trends across releasesPerformance, Quality & Competitive Benchmarking· Compare performance and perceptual quality of Qualcomm Voice AI solutions against:o Internal reference implementationso Customer baselineso Competing open-source solutions in the market· Conduct objective and subjective quality analysis for Voice AI features (accuracy, intelligibility, naturalness, latency perception, robustness).· Drive validation with the goal to meet and beat market expectations, using measurable KPIs and user-experience metrics.· Perform competitive benchmarking of open-source and proprietary models from a system-level quality and performance standpoint.Hardware Acceleration & System Integration Validation· Validate HW AI acceleration paths, ensuring correct and efficient offload across NPU, GPU, CPU, and DSP.· Evaluate end-to-end voice AI pipelines, which includes low power modes, and realtime inference behavior in batch mode and streaming mode.· Verify correct interaction across application, framework, DSP, and hardware layers.Automation, Debug & Cross-Team Collaboration· Develop and maintain automated test suites, regression frameworks, and evaluation pipelines for Voice AI and Agentic AI workflows.· Analyze logs, traces, metrics, and dumps to perform root-cause analysis of functional, performance, or quality issues.· Collaborate closely with R&D, Systems, Platform, Product, and Customer teams to drive fixes, improvements, and release readiness.· Document test methodologies, KPIs, validation results, and competitive insights for internal and external stakeholders.Requirements· Strong programming and scripting skills in C/C++ and Python, with focus on test automation, data analysis, and evaluation tooling.· Experience in system-level testing and validation of ML or AI workloads on embedded platforms.· Solid understanding of Voice AI domains: ASR, TTS, NLP, multilingual translation, and voice assistants.· Hands-on experience validating ML inference performance and quality on NPU/GPU/CPU.· Working knowledge of deep learning frameworks such as PyTorch, TensorFlow, ONNX from a testing and inference evaluation perspective.· Understanding of ML architectures (Transformers, LSTM, GRU, diffusion models) for...