Deep Learning Engineer for Camera-LiDAR based Multimodal Perception (Automated Driving)

    • Qualcomm Technologies
  • San Diego, CA
  • Posted 58 days ago | Updated 2 hours ago

Overview

On Site
USD 104,000.00 - 156,000.00 per year
Full Time

Skills

C++
Cross-functional team
Policies and procedures
Deep learning
Systems engineering
Network layer
Computer vision
Information systems
Computer science
Software design
Research design
Functional analysis
Level design
Decision-making
Problem solving
Algorithms
Data
Sensors
Calibration
Fusion
Art
Leadership
DNN
GRID
Cloud computing
Software development
Python
Analytical skill
Communication
Radar
HD
Computer hardware
Specification
Testing
ROOT
Debugging
Supervision
Negotiations
Planning
Recruiting
Law
Sales

Job Details

Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > Systems Engineering

General Summary:

We are looking for innovative and motivated individuals with strong background in advanced deep learning architectures for production grade L3 automated driving perception software. They shall develop scalable algorithms for Camera-LiDAR perception systems scalable to large scale data regimes (Petabytes). This includes fundamental understanding of computer vision, transformers, self-attention, cross attention in multi-modal sensor setup, volumetric occupancy, and volumetric flow. A global understanding of multi-senor calibration (camera-camera, camera-lidar) and related fusion frameworks is a necessity. A solid background in classical calibration is a big plus. They shall develop state of the art lidar and LiDAR-camera fusion deep learning models for complex urban and highway scenarios. Work closely with seasoned senior perception engineers in leading automated driving systems in OEMS & Robotaxi companies.

Minimum Qualifications:
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.

Preferred Qualifications:
  • Experience in deep learning for LiDAR perception, camera-LiDAR sensor fusion for DNN architectures and/or occupancy grid filtering.
  • Fundamental understanding of classical computer vision, multi-view geometry.
  • Proficient in advanced deep learning architectures transformers, cross-attention, Voxel/BEV grid-based feature representations for point cloud data.
  • 3+ years of experience with Programming Language such as C++ and Python.
  • Experience working with, modifying, and creating advanced algorithms.
  • Analytical and scientific mindset, with the ability to solve complex problems.
  • Experience with robust software design for safety-critical systems.
  • Excellent written and verbal communication skills, ability to work with a cross-functional team.

Optional Qualifications/Experience
  • Classical Camera-LiDAR-RADAR offline/online calibration.
  • Classical or Deep learning-based Camera-LIDAR-RADAR fusion.
  • HD-maps fusion for perception.

Principal Duties and Responsibilities:

Applies Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions while ensuring system-level requirements and standards are met.

Performs functional analysis to drive requirements and specifications and to define and align with standards for hardware and software.

Develops and analyzes system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system.

Collaborates with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of systems.

Develops new and innovative ideas (e.g. IDFs) for a product or feature area.

Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.

Level of Responsibility:

Works under 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.

    Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

    Qualcomm is an equal opportunity employer and supports workforce diversity.

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    EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

    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.

    Pay range:
    $104,000.00 - $156,000.00

    The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!

    If you would like more information about this role, please contact .