Engineer/ Sr Engineer/ Lead Sr Enginner, AI Platform Development

Qualcomm; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Qualcomm is looking for a Hardware Engineer who will design, optimize, and verify electronic systems while collaborating with cross-functional teams. The role also involves developing AI/ML applications and pipelines to address engineering challenges.

The ideal candidate should possess a Bachelor's degree in a relevant field and demonstrate strong programming skills in Python and C/C++. Experience in data structures, algorithms, and software design principles is essential for success in this position.

Qualifications

• 3+ years of experience in Hardware Engineering or related work.
• Strong programming skills in Python and C/C++.
• Experience in building scalable software systems.

Responsibilities

• Design and implement AI/ML applications and pipelines using LLMs.
• Develop robust data ingestion, transformation, and analysis pipelines.
• Collaborate with team leads for timely delivery of solutions.

Skills

Data structures and algorithms

Programming in Python

Programming in C/C++

Software design principles

Analytical problem-solving

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

PhD in relevant field

Tools

Pandas

NumPy

Matplotlib

SQL databases

AWS

Job description

General Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next‑generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring‑up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting‑edge, world‑class products. Qualcomm Hardware Engineers collaborate with cross‑functional teams to develop solutions and meet performance requirements.

Minimum Qualifications

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
• Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
• PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
• Very strong in data structures, algorithms, and software design principles.
• Strong programming skills in Python and C/C++.
• Experience in building scalable software systems and solving complex technical problems.
• Experience with software architecture and design patterns.
• Fast learner with a strong technical foundation and ability to work independently.
• Very strong analytical and problem‑solving skills.

Preferred Qualifications

• Master’s degree in Computer Science or related field.
• Proficiency in data analysis using Python libraries (e.g., Pandas, NumPy, Matplotlib).
• Familiarity with SQL databases, ETL frameworks, and cloud platforms (e.g., AWS).
• Hands‑on experience on Cloud Scale & Distributed Computing Architectures.
• Hands‑on experience with AI/ML technologies including:
• Supervised and unsupervised learning.
• LLMs, GenAI platforms, and RAG optimization.
• ML frameworks like scikit‑learn, PyTorch, TensorFlow.
• LLM integration frameworks (e.g., LangChain).

Key Responsibilities

• Design and implement AI/ML applications and pipelines using LLMs, GenAI platforms, and custom models to address real‑world engineering challenges.
• Build intelligent agents and user interfaces that integrate seamlessly into engineering workflows.
• Develop robust data ingestion, transformation, and analysis pipelines tailored to chip design and debug use cases.
• Build distributed computing architectures and scalable backend services.
• Design intuitive user interfaces and intelligent agents for engineering teams.
• Implement robust ETL pipelines and integrate with SQL/NoSQL databases.
• Collaborate with team leads to ensure timely delivery and high‑quality solutions.
• Provide technical support and training to internal teams, helping resolve issues and improve adoption.
• Engage in cross‑functional initiatives to solve technical problems across departments.
• Continuously contribute to the innovation and evolution of tools, technologies, and user experiences.

Equal Opportunity Employer

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may e‑mail [e-mail] for reasonable accommodations.