Voice Ai Systems Test Engineer-Senior Engineer
Qualcomm · Hyderabad · onsite · Posted 57d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Company: Qualcomm India Private Limited
Job Area: Engineering Group, Engineering Group > Systems Test Engineering
Job Summary Join 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.
Responsibilities - Voice 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 dashboard
- Detect regressions
- Identify quality gaps
- Predict performance trends across releases
- Compare performance and perceptual quality of Qualcomm Voice AI solutions against internal reference implementations, customer baselines, and 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.
- 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.
- 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 RD, 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.
- 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 validation, benchmarking, and analysis.
- Experience validating model quantization, compression, and hardware acceleration techniques.
- Strong debugging skills for embedded systems, DSP pipelines, and AI accelerators.
- Experience with AI-assisted test data analysis, model-based evaluation, and KPI-driven benchmarking is a strong plus.
- Excellent communication and collaboration skills to work across global, cross-disciplinary teams.
- Strong quality and customer-experience mindset with attention to detail.
- Self-driven engineer capable of handling complex system-level validation challenges.
- Ability to translate test data and metrics into actionable insights.
- Excellent verbal and written communication for clear reporting and cross-team alignment.
- Team player who collaborates effectively with RD, platform, and product organizations.
- Commitment to engineering excellence, continuous learning, and innovation.
- Actively supports diversity and inclusion within the team and company.
- Bachelors / Masters / in Engineering, Electronics Communication, Computer Science, or related fields.
- 2+ years of experience in Voice AI testing, Audio/AI system validation, ML inference evaluation, or related domains.
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience.
- OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Test Engineering or related work experience.
- OR PhD in Engineering, Information Systems, Computer Science, or related field.
- 4+ years of Systems Test Engineering or related work experience.
- Conducts log analyses to identify where an issue has occurred and makes recommendations for how to address the issue.
- Understands basic features of the system.
- Collects information (e.g., logs, requirements) and identifies basic patterns/trends related to systems testing.
- Manages individual project priorities, deadlines, and deliverables with minimal supervision.
- Determines which work tasks are most important for self and junior engineers, avoids distractions, and completes work in a timely manner.
- Communicates detailed and regular feedback about identified feature issues to software and systems teams.
- Collaborates with individuals inside own team and with other teams to complete project work.
- Resolves straightforward technical issues and escalates to technical leads as necessary.
- Adapts to significant changes and setbacks in order to manage pressure and meet deadlines.
- Gathers, integrates, and interprets information from a variety of sources in order to troubleshoot issues and find solutions.
- Detects bugs in the "system under test" and resolves issues using more advanced debugging approaches.
- Conducts more advanced field or lab tests as directed by tech leads.
- Seeks opinions of others within own team about ways in which a problem can be addressed differently.
- Working under some supervision.
- Making decisions that are moderate in impact; errors may have relatively minor financial impact or effect on projects, operations, or customer relationships; errors may require involvement beyond immediate work group to correct.
- Using verbal and written communication skills to convey information that may be somewhat complex to others who may have limited knowledge of the subject in question. May require basic negotiation and influence, cooperation, tact, and diplomacy, etc.
- Having a moderate amount of influence over key organizational decisions.
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Skills
AutomationCompressionCompetitive AnalysisDashboardEmbedded SystemsdebuggingDebugAI testingCommunication SkillsDeep LearningBudgetingdata analysisCustomer RelationshipsAi SolutionsEmbedded HardwareArtificial Intelligence
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