Nuvia
General Summary:
This position is within Qualcomm’s Automotive Application Engineering Group, which works closely with automotive partners and customers from concept through commercialization. The team is involved in all aspects of embedded software, including software and hardware design, feature prototyping and integration, software customization, performance optimization, and debugging—critical for a successful product launch.
We are seeking a strong Software Engineer with solid knowledge and hands-on experience in design, development, debugging, and optimization of AI/ML solutions on one or more operating systems such as Linux, Android, Green Hills Integrity, and QNX embedded systems. The primary responsibility is to provide direct support to Qualcomm customers and partners in designing, developing, and debugging software issues related to Qualcomm reference designs, as well as customizing and optimizing software to meet product requirements using Qualcomm SoC features.
The ideal candidate will quickly ramp up on existing projects, understand automotive platform hardware and software driver architecture, read and write technical specifications and requirements, demonstrate strong analytical and problem-solving skills, and collaborate closely with external customers to customize and launch new products.
This role offers the opportunity to work on cutting-edge infotainment, digital cockpit, and autonomous driving technologies from leading automotive manufacturers and Tier 1 suppliers, and to see projects through to successful commercialization.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.Preferred Qualifications:
Strong experience in embedded software development, integration, and debugging
15+ years in Software Application Engineering, Software Development, or related fields
8+ years of experience working with embedded platforms
6+ years experience with high level OS (QNX, Linux, or Android)
Proficiency in C/C++ and modern scripting languages such as Python
Hands on knowledge of major CV/DL frameworks: OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2
Experience with supervised & unsupervised ML, including CV, NLP, and LLM based systems
Experience with ML/MLOps pipelines for AI application development and deployment
Solid understanding of ML/DL fundamentals, including CNNs, object detection, segmentation, and related algorithms
Understanding of neural network operators, linear algebra, quantization, and related mathematical foundations
Experience optimizing neural networks for embedded systems (latency, throughput, power)
Excellent system-level debugging and issue triage skills
Strong communication, collaboration, and customer focused mindset
Ability to manage tasks, timelines, and drive cross-functional execution
Ability to quickly learn new technologies and perform deep technical analysis
Experience with ML applications in Automotive Infotainment or Autonomous Driving
Familiarity with ML benchmark suites such as MLPerf
Experience with dedicated ML accelerators or hardware blocks for embedded AI
Experience with debugging tools (JTAG, ftrace, GDB)
Experience tuning GenAI models or reinforcement learning
Experience with inference optimization and edge deployment
Principal Duties and Responsibilities:
Responsible for CV models, LLMs, VLMs, VLAs deployment in ADAS and Cockpit Edge AI platforms
Develop end to end applications for inference deployment on customer platforms
Plan with team lead, take ownership of on-time delivery and quality.
Train and support internal teams in issue resolution.
Participate in cross department initiatives & activities to solve technical problems with cross-functional team.
Contributing towards the continuous development & innovation of tools, technology and user experience
Assist in the design, development, and implementation of Gen AI and LLM applications
Contribute towards implementing fine tuning and distillation techniques
Perform ML model benchmarking and functional analysis to drive requirements and specifications
Support customer engagement with AI model/workload optimization and deployment
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 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.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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Pay range and Other Compensation & Benefits:
$157,600.00 - $236,400.00The 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 – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.