Staff Engineer- AI/Machine Learning R&D
Qualcomm's Global SoC Machine Learning Research team is hiring a Staff Engineer to develop AI/ML-based EDA solutions for chip design in Bangalore. The role focuses on designing high-performance optimization algorithms to improve power, performance, and area in SoC applications. Candidates should have experience in C++, Python, and complex optimization problems, with an interest in VLSI workflows. The position involves collaborating with global cross-functional teams to test and deploy software solutions.
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Experience
2-10 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Qualcomm's Global SoC Machine Learning Research team is hiring a Staff Engineer to develop AI/ML-based EDA solutions for chip design in Bangalore. The role focuses on designing high-performance optimization algorithms to improve power, performance, and area in SoC applications. Candidates should have experience in C++, Python, and complex optimization problems, with an interest in VLSI workflows. The position involves collaborating with global cross-functional teams to test and deploy software solutions.
TAL's take
Role is with a well-established global technology leader in the specialized field of AI-driven EDA for SoC development, offering significant technical depth.
Very clear scope targeting AI/ML applications for EDA/SoC optimization within a specific research team.
Salaries at Qualcomm
27.4 LPA average
Based on 637 Grapevine salary entries for Qualcomm.
Engineering
0 - 2 years | L1
15 LPA average
Range: 12 - 20 LPA
Engineering
2 - 4 years | L1
18 LPA average
Range: 8 - 32 LPA
Engineering
4 - 6 years | L1
21 LPA average
Range: 10 - 31 LPA
Engineering
6 - 8 years | Lead
30 LPA average
Range: 20 - 50 LPA
Must haves
- Bachelor's degree or higher in CS/EE/related field
- 2-4+ years of relevant engineering experience
- Proficiency in Python and C/C++
- Experience with optimization and graph algorithms
- Strong communication and interpersonal skills
Tools and skills
Nice to have: soc, ai/ml, vlsi, placement, routing, timing analysis, power optimization.
About the company
Qualcomm is a major global semiconductor player, categorized as tier 2 in the context of pure-play software/AI startup innovation hubs, though it holds strong global brand status.
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