Qualcomm is hiring for the role of AI/ML Performance Engineer in Bangalore. This opportunity is ideal for candidates with 1–2 years of experience in AI/ML systems, performance optimization, embedded software, and accelerator architectures. If you have strong knowledge of deep learning, GPU/NPU optimization, Linux/Android systems, and performance analysis, this could be a strong opportunity to work on next-generation AI hardware and software systems.
About the Company
Qualcomm is one of the world’s leading semiconductor and wireless technology companies, known for innovations in mobile processors, AI acceleration, 5G, IoT, automotive systems, and edge computing. Qualcomm powers billions of devices globally and plays a major role in advancing on-device AI and intelligent computing.
Role Overview
As an AI/ML Performance Engineer, you will analyze and optimize AI workloads running on Neural Processing Units (NPU), GPUs, and CPUs in complex SoC platforms. Your work will focus on improving:
- Inference latency
- Throughput
- Power efficiency
- Memory bandwidth utilization
- System-level performance
You’ll collaborate with architecture, compiler, runtime, and AI framework teams to improve real-world AI model performance.
Salary Estimate
Estimated Salary: ₹18 LPA – ₹32 LPA 💰 (based on Qualcomm India compensation for 1–2 years experience in specialized AI/performance roles)
Compensation can vary depending on prior experience, skill level, interview performance, and stock/bonus components.
Responsibilities
- Analyze AI/ML workload performance across NPU, GPU, and CPU
- Identify bottlenecks in:
- Compute
- Memory bandwidth/latency
- NoC
- DMA
- Scheduling
- Optimize inference for:
- CNNs
- Transformers
- Vision-Language Models (VLMs)
- Diffusion models
- Improve execution using:
- Operator fusion
- Quantization
- Mixed precision
- Graph partitioning
- Batching
- Build benchmarks, profilers, and regression tools
- Collaborate with system software teams on:
- Drivers
- Runtime
- Memory allocation
- Power management
- Thermal constraints
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Who Can Apply
| Criteria | Details |
|---|---|
| Experience | 1–2 Years |
| Education | Bachelor’s in CS / Engineering / IT |
| Location | Bangalore |
| Work Mode | Full-Time |
| Eligible Candidates | AI/ML, Systems, Embedded, Performance Engineers |
Preferred Skills
- Strong Machine Learning fundamentals
- Experience with Python/C++
- Knowledge of:
- Neural accelerators
- GPU architecture
- CPU architecture
- DDR / NoC
- Embedded systems experience:
- Linux
- Android
- RTOS
- Understanding of:
- Quantization
- Compression
- Pruning
- Compiler optimization
- Strong debugging and analytical skills
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What You’ll Get
- Work on cutting-edge AI accelerator hardware
- Exposure to advanced deep learning optimization
- Collaborate with top AI and systems engineers
- Experience with real-world production AI workloads
- Opportunity to influence next-generation AI hardware/software design
How to Apply
If your profile matches the required skills, prepare an updated resume highlighting:
- AI/ML projects
- Performance optimization work
- Deep learning frameworks
- Embedded/system-level experience
- Benchmarks or profiling tools you’ve used
Also emphasize projects involving GPU/NPU optimization, quantization, inference acceleration, or embedded AI deployments, as these can significantly strengthen your application.
Apply by clicking the button below.
Disclaimer: This job information is collected from official/public sources for informational purposes only. We do not charge any fee for job information, do not guarantee recruitment, and are not responsible for any loss or damage arising from reliance on this information.
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