Qualcomm Hiring: AI/ML Performance Engineer – Bangalore | Apply Now

Location: Bangalore, Karnataka, India
Job Type: Full-Time
Qualification: Bachelor’s degree in Computer Science Engineering, Information Systems, Engineering, or a related field
Experience Level: 1–2 Years
Salary Range: Not Disclosed
Work Mode: On-Site
Last Date to Apply: Not Specified
Job ID: 3095443

About the Role

Qualcomm AI/ML Engineer Jobs offer an opportunity for engineering professionals with experience in artificial intelligence, machine learning, embedded software and system performance. Qualcomm is hiring for an Associate Engineer position in Bangalore, India, with the role focused on AI/ML performance engineering.

The position involves analyzing, optimizing and validating AI workloads across Neural Processing Units (NPUs) and GPUs in complex system-on-chip platforms. The selected candidate will work with deep learning models and AI software stacks to improve inference performance, latency, throughput and power efficiency.

The role requires an understanding of AI accelerator architecture, machine learning models and software layers that include drivers, runtimes, compilers and frameworks. Candidates will also collaborate with architecture, compiler, runtime and AI framework teams.

Qualcomm AI/ML Engineer Jobs are particularly relevant for candidates interested in AI acceleration, embedded systems, neural accelerators and performance optimization.

The job description specifies 1–2 years of experience and requires a bachelor’s degree in Computer Science Engineering, Information Systems, Engineering or a related field.

Key Responsibilities

Candidates selected for Qualcomm AI/ML Engineer Jobs will be responsible for:

• Analyze and optimize AI/ML workloads across NSP, NPU and GPU platforms.
• Evaluate performance across single and multi-accelerator systems.
• Identify bottlenecks involving compute, memory bandwidth, memory latency, NoC, DMA, SMMU and scheduling.
• Optimize latency-sensitive AI inference workloads.
• Improve high-throughput AI pipelines and concurrent execution.
• Perform roofline, utilization and memory-access pattern analysis using hardware counters.
• Benchmark CNNs, Transformers, VLMs and diffusion models for real-world use cases.
• Optimize model execution through operator fusion, graph partitioning, quantization and mixed precision.
• Apply techniques such as tiling and batching to improve AI workload performance.
• Collaborate with system software teams on drivers, runtimes and memory allocation.
• Consider power, thermal and QoS constraints during performance optimization.
• Analyze AI performance in concurrent, virtualized, safety-critical and real-time environments.
• Build and use benchmarks, micro-benchmarks, profilers and regression tools.
• Generate actionable performance insights from AI workload analysis.
• Work with architecture, compiler, SDK and AI framework teams.
• Help influence hardware and software design based on performance analysis.
• Investigate and resolve performance-related escalations.

Qualifications & Skills

• Education: Bachelor’s degree in Engineering, Information Systems, Computer Science or a related field.
• Experience: 1+ years of Hardware Engineering, Software Engineering, Systems Engineering or related work experience; the role description indicates an expected experience level of 1–2 years.
• Technical Skills: Software development, AI/ML fundamentals, embedded software, Linux, Android, RTOS, neural accelerators, GPU performance, CPU/NPU/GPU architecture and system performance.
• Industry Knowledge: Machine learning, deep learning, AI inference, neural network optimization and accelerator architecture.
• Soft Skills: Strong analytical, development, problem-solving, communication and interpersonal skills.
• Additional Requirements: Knowledge of NOC and DDR architecture, neural network quantization, compression, pruning algorithms, deep learning kernel optimization and compiler optimization.

Eligibility Criteria

Candidates interested in Qualcomm AI/ML Engineer Jobs should meet the following verified requirements:

• Bachelor’s degree in Computer Science Engineering, Information Systems, Engineering or a related field.
• At least 1 year of relevant Hardware Engineering, Software Engineering, Systems Engineering or related work experience.
• Experience or exposure to software development.
• Knowledge of machine learning fundamentals.
• Experience in or understanding of embedded software environments such as Linux, Android or RTOS.
• Understanding of system performance with a focus on neural accelerators and GPUs.
• Knowledge of CPU, NPU, GPU, NoC and DDR architecture.
• Understanding of neural network quantization, compression and pruning.
• Knowledge of deep learning kernel or compiler optimization.
• Strong analytical and problem-solving abilities.
• Strong communication and interpersonal skills.

Important Dates

• Date Posted: Not Specified
• Last Date to Apply: Not Specified

Applicants should check the official Qualcomm careers page for the latest application status and availability.

How to Apply

Candidates can use the official application link provided below to apply for Qualcomm AI/ML Engineer Jobs. Review the eligibility criteria and complete the application before the position closes.