Robotics Lead AI - ( Senior Staff)

Qualcomm · Bengaluru · 6+ yrs experience · Posted 2026-03-16

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About the role

Qualcomm India Private Limited
Engineering Group, Engineering Group > Systems Engineering
Responsibilities: - 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 Systems Engineer, you will research
- design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology.
- Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.
Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
- We are seeking experts with a robust background in the field of deep learning (DL) to design state-of-the-art low-level perception (LLP), end-to-end models and Vision-Language models(VLM)/ Vision-Language-Action models(VLA) for Autonomous Driving and Robotics use cases, with a focus on achieving accuracy-latency Pareto optimality.
- This role involves comprehending state-of-the-art research in this field and deploying networks on the Qualcomm Ride platform Autonomous
- driving and Robotics applications.
- The ideal candidate must be well-versed in recent advancements in Vision Transformers (Cross-attention, Self-attention), lifting 2D features to Bird's Eye View (BEV) space, their applications to multi-modal fusion and VLM/VLA Models.
- This position offers extensive opportunities to collaborate with advanced R&D teams of leading automotive Original Equipment Manufacturers (OEMs) as well as Qualcomm's internal stack teams.
- The team is responsible for enhancing the speed, accuracy, power consumption, and latency of deep networks running on Snapdragon Ride AI accelerators.
- A thorough understanding of machine learning algorithms, particularly those related to Automotive and Robotics use cases is essential.
- Research experience in the development of efficient networks, various Neural Architecture Search (NAS) techniques, network quantization, and pruning is highly desirable.
- Strong communication and interpersonal skills are required, and the candidate must be able to work effectively with various horizontal AI teams.
- Candidates with a broad spectrum of experience, 12+ years in the relevant domain.
- Good at software development with excellent analytical, development, and problem-solving skills.
- Strong understanding of Machine Learning fundamentals
- Hands-on experience with deep learning network design and implementation.
- Ability to define network from scratch in PyTorch, ability to add new loss function, modify network with torch.fx.
- Adept at version control system like GIT.
- Experience in neural network quantization, compression, pruning algorithms.
- Experience in deep learning kernel/compiler optimization
- Strong communication skills

Qualifications

- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
- We are seeking experts with a robust background in the field of deep learning (DL) to design state-of-the-art low-level perception (LLP), end-to-end models and Vision-Language models(VLM)/ Vision-Language-Action models(VLA) for Autonomous Driving and Robotics use cases, with a focus on achieving accuracy-latency Pareto optimality.
- This role involves comprehending state-of-the-art research in this field and deploying networks on the Qualcomm Ride platform Autonomous
- driving and Robotics applications.
- The ideal candidate must be well-versed in recent advancements in Vision Transformers (Cross-attention, Self-attention), lifting 2D features to Bird's Eye View (BEV) space, their applications to multi-modal fusion and VLM/VLA Models.
- This position offers extensive opportunities to collaborate with advanced R&D teams of leading automotive Original Equipment Manufacturers (OEMs) as well as Qualcomm's internal stack teams.
- The team is responsible for enhancing the speed, accuracy, power consumption, and latency of deep networks running on Snapdragon Ride AI accelerators.
- A thorough understanding of machine learning algorithms, particularly those related to Automotive and Robotics use cases is essential.
- Research experience in the development of efficient networks, various Neural Architecture Search (NAS) techniques, network quantization, and pruning is highly desirable.
- Strong communication and interpersonal skills are required, and the candidate must be able to work effectively with various horizontal AI teams.
- Candidates with a broad spectrum of experience, 12+ years in the relevant domain.
- Good at software development with excellent analytical, development, and problem-solving skills.
- Strong understanding of Machine Learning fundamentals
- Hands-on experience with deep learning network design and implementation.
- Ability to define network from scratch in PyTorch, ability to add new loss function, modify network with torch.fx.
- Adept at version control system like GIT.
- Experience in neural network quantization, compression, pruning algorithms.
- Experience in deep learning kernel/compiler optimization
- Strong communication skills

Responsibilities

- 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 Systems Engineer, you will research
- design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology.
- Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.

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