Nutanix
Engineer, Senior Staff-AI Systems Engineer (Auto/Robotics)
Nutanix, San Diego, California, United States, 92189
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Qualcomm Systems Engineers research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enable the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.
Minimum 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 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, focusing 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 for 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, and their applications to multi-modal fusion and VLM/VLA Models. This position offers opportunities to collaborate with advanced R&D teams of leading automotive Original Equipment Manufacturers (OEMs) as well as Qualcomm 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 developing 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.
Preferred Qualifications:
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
Principal Duties and Responsibilities:
Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions.
Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools) to allow specific hardware features; collaborates with team members for joint design and development.
Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.
Conducts complex experiments to train and evaluate machine learning models and/or software independently.
Level of Responsibility:
Works independently with minimal supervision.
Decision-making may affect work beyond immediate work group.
Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Applicants:
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 email disability-accommodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies.
If you would like more information about this role, please contact Qualcomm Careers.
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Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Qualcomm Systems Engineers research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enable the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards.
Minimum 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 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, focusing 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 for 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, and their applications to multi-modal fusion and VLM/VLA Models. This position offers opportunities to collaborate with advanced R&D teams of leading automotive Original Equipment Manufacturers (OEMs) as well as Qualcomm 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 developing 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.
Preferred Qualifications:
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
Principal Duties and Responsibilities:
Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
Models, architects, and develops machine learning hardware (co-designed with machine learning software) for inference or training solutions.
Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools) to allow specific hardware features; collaborates with team members for joint design and development.
Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.
Conducts complex experiments to train and evaluate machine learning models and/or software independently.
Level of Responsibility:
Works independently with minimal supervision.
Decision-making may affect work beyond immediate work group.
Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
Applicants:
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 email disability-accommodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies.
If you would like more information about this role, please contact Qualcomm Careers.
#J-18808-Ljbffr