{"id":4012074,"url":"https://alion.io/job/qualcomm-voice-ai-systems-engineer-3","title":"Voice AI Systems Engineer","company":{"id":4454000,"name":"Qualcomm","domain":"qualcomm.co.in","url":"https://alion.io/company/qualcomm-4","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Assembly","optional":false},{"name":"C++","optional":false},{"name":"Edge AI","optional":false},{"name":"Embedded C","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Transformers","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-11-10T10:36:00Z","employer_posted_date":null,"last_verified_at":"2026-11-10T10:36:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Company: Qualcomm India Private Limited\n\nAs a member of Qualcomm's Audio Systems Group, you will work on the forefront of on-device AI and multimedia technology. Your focus will be on the design and implementation of audio and speech signal processing solutions leveraging both signal processing and machine learning (ML). You will help architect and optimize the Voice AI algorithms for deployment on next-generation Snapdragon platforms across mobile, XR, compute, IoT, and automotive markets.\n\nKey Responsibilities:\nDesign and develop end-to-end software audio system, including both reference design and IP, with a primary focus on echo cancellation, noise suppression and speech enhancement algorithms.\nCreate, prototype, and commercialize innovative audio solutions using both traditional signal processing and ML methodologies.\nAnalyze and validate performance of audio subsystems to meet strict metrics for robustness, power, and stability on Qualcomm platforms.\nImplement, test, and troubleshoot fixed-point and floating-point algorithms, including ML-based audio features.\nDevelop, optimize, and deploy audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs.\nPerform model evaluation, quantization, and compression to enable fast, robust inference on embedded hardware.\nCollaborate with cross-functional R&D, systems, and integration teams for system use case verification and commercialization support.\nPerform algorithm performance validations and benchmarking analysis with open-source models, lead demo prototyping efforts.\nWork closely with internal engineering teams and customers to drive successful commercialization of audio technologies.\nSupport diversity and inclusion within Qualcomm and exhibit adaptability in a dynamic, multi-tasking team environment.\n\nRequirements:\nSolid background in audio signal processing fundamentals.\nProven experience in developing, implementing, and debugging audio algorithms using both signal processing and ML approaches.\nKnowledge of audio features, echo cancellation, noise suppression and speech enhancement algorithms.\nStrong programming skills in Embedded C/C++, Matlab, and Python.\nExperience with embedded platforms, DSP architectures, real-time operating systems, and software design patterns.\nFamiliarity with different model architecture, CNNs, RNNs, U-Nets, Transformers, for use in audio applications.\nExpertise in both fixed-point and floating-point implementation.\nDemonstrated ability in audio system design, acoustic measurements, and performance analysis.\nFamiliarity with DSP intrinsic and assembly programming is a plus.\nExcellent communication, presentation, and cross-functional teamwork skills.\nQuick learner, self-motivated, and capable of working independently across geographically dispersed teams.\n\nEducational Qualifications:\nMaster's or PhD degree in Engineering, Electronics and Communication, Electrical, Computer Science, or related field.\n\nMinimum Qualifications:\nBachelor's degree in Engineering, Information Systems, Computer Science, or related field.\nSkills\nAudio, C++, Embedded C, MATLAB, Python, Signal 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