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Hi {{their name}}, I'm I. I just applied for the Engineer – Voice AI Systems Machine Learning Engineer role at Qualcomm India and your profile stood out — would love a quick referral or even just a chat about the team. Happy to share my resume. Thanks!
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- Develop, optimize, and deploy Voice AI and audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs. - Perform model evaluation, quantization, and compression to enable fast, robust inference on embedded hardware. - Analyze and compare model architectures (such as Diffusion Models, U-Nets, Transformers, BERT, BART, etc.) for use in audio applications. - Collaborate with cross-functional R&D, systems, and integration teams for system use case verification and commercialization support. - Contribute to the design and software implementation of audio ML models in embedded C/C++ and Python. - Evaluate system performance, debug, and optimize for performance and robustness. - Participate in industry trends, benchmarking and performance analysis of various Model architecture, and bring up-to-date architectural or technical innovations to the team.
- Strong programming skills in C/C++, Python. - Experience with audio processing and embedded solutions. - Hands-on experience working with audio framework and audio solutions on any platform - Familiarity with ML frameworks (PyTorch, TensorFlow, ONNX, etc.). - Knowledge of model quantization and compression techniques, and experience optimizing inference and deployment on embedded hardware. - Strong understanding of ML model architectures such as, CNNs, RNNs, Transformers, U-Nets, and statistical modeling techniques. - Understanding of DSP or Microcontroller architectures and frameworks - Experience developing and debugging software on embedded platforms; familiarity with software design patterns, multi-threaded programming (e.g., POSIX, PTHREADS), and fixed-point coding. - Excellent verbal and written communication skills; ability to work independently and as a team player in geographically dispersed, multidisciplinary teams. - Proven ability to work in a dynamic, multi-tasked environment — quick learner, self-motivated, and results-driven. Minimum
Company
Qualcomm India
Location
Hyderabad, Telangana, India
Type
Full Time
Experience
2+ years
Posted
21 Apr 2026
Get a referral at Qualcomm India
Referrals beat cold applications ~5x — opens LinkedIn search.
Highest reply rate — they're paid to source
Engineers on the team can refer you internally
People who posted "we're hiring" recently
Hi {{their name}}, I'm I. I just applied for the Engineer – Voice AI Systems Machine Learning Engineer role at Qualcomm India and your profile stood out — would love a quick referral or even just a chat about the team. Happy to share my resume. Thanks!
Company
Qualcomm India
Location
Hyderabad, Telangana, India
Type
Full Time
Experience
2+ years
Posted
21 Apr 2026
Req ID
446718157667
Qualcomm India
· Bachelor’s, Master’s or PhD in Computer Science, Electronics and Communication, Electrical Engineering, or a related field (or equivalent work experience). Preferred
- Experience working with Qualcomm AI HW accelerators (NPUs) and Qualcomm SDKs - Knowledge of Qualcomm ML framework QNN, platforms and tools Keywords: Audio ML Models, RNNs, Audio dataset, Inference Optimization, ML model Quantization, Quantization aware, post training quantization, Model optimization Minimum
Qualcomm India
Semiconductor