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Bengaluru · On-site · 0-3 Yrs · Oct 27
Computer Hardware Development · 10000+ Employees · San Diego, US
We’re looking for inventive minds to help fuel what’s next in 5G. Qualcomm is the wireless technology innovator and the company of inventors that unlocked 5G. We’re ushering in an age of rapid acceleration in wireless connectivity that’s transforming entire industries and enriching lives on a global scale. From smartphones to smart homes, mobile PCs to automotive, gaming to XR/VR/AR, and audio to factories of the future, 5G may be the most important technological development of the 21 st century — and Qualcomm is leading the way. But this is just the beginning. It takes brilliant minds with diverse skills, backgrounds, and cultures to transform 5G’s potential into world-changing technologies and products. This is the Invention Age — and this is where you come in.
Hiring: Engineering
What employees say
+ There is good pay at Qualcomm
− Very bad work life balance
More reviews on the company profile.
Interview experience · Associate Engineer
Initially it started with resume related questions. Trying to guage my RTL design exposure. Later they gave a small but medium level problem to solve. I did around half of it, Interview was very short as it was a campus
Average difficulty · Bengaluru · 1,159 reports
More interview insightsJob description
Overview
Qualcomm India Private Limited
Responsibilities
- Qualcomm's GPU team is looking for highly motivated fresh graduates and early-career engineers interested in next-generation GPU, AI/ML, computer architecture, and high-performance computing technologies.
- You will work alongside architecture, design, software, and validation teams on performance analysis, system-level debugging, research, automation, and development of future computing platforms.
- Work on next-generation GPU and compute architectures.
- Contribute to architecture analysis, performance studies, validation, and debugging.
- Investigate complex hardware/software and system-level issues and perform root-cause analysis.
- Develop tools, automation, and AI-assisted engineering workflows.
- Collaborate with architecture, design, software, and validation teams.
- Research and prototype innovative solutions for future GPU and computing platforms.
Qualifications
- Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.
- Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
- Eligibility: Fresh graduates and early-career engineers from Tier 1 and Tier 2 engineering institutes
- Strong fundamentals in Computer Architecture and Computer Organization.
- Good understanding of Operating Systems and Memory Systems.
- Strong programming skills in C/C++.
- Good knowledge of Data Structures and Algorithms.
- Basic understanding of AI/ML concepts.
- Strong analytical and problem-solving abilities.
- Ability to quickly understand complex hardware/software systems.
- Exposure to GPU Architecture and Parallel Computing.
- Knowledge of CUDA, OpenCL, or SYCL.
- Understanding of High-Performance Computing (HPC), accelerators, or heterogeneous computing.
- Academic/research projects involving Computer Architecture, GPU, AI/ML, Systems, or HPC.
- Research publications, patents, open-source contributions, or strong technical projects are an advantage.
- Strong academic and technical fundamentals.
- Genuine interest in GPU, AI, and emerging computing architectures.
- Research aptitude and strong problem-solving skills.
- Relevant academic projects, internships, publications, or technical contributions.
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Job application FAQ
Last updated 8 November 2026
- How do I apply for GPU Architecture & AI/ML Engineer | IIT or NIT Freshers | 0–3 Years at Qualcomm?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Qualcomm may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is GPU Architecture & AI/ML Engineer | IIT or NIT Freshers | 0–3 Years remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this GPU Architecture & AI/ML Engineer | IIT or NIT Freshers | 0–3 Years role at Qualcomm?
- This is a mid-level GPU Architecture & AI/ML Engineer | IIT or NIT Freshers | 0–3 Years role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.