Sr. Automotive Machine learning engineer

Company:
Qualcomm Technologies, Inc.

Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

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 Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

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

Preferred Qualifications:
Master's degree in Computer Science, Engineering, Information Systems, or related field.
2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
2+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
2+ years experience working in a large matrixed organization.
1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Principal Duties and Responsibilities:

• Design, implement, and maintain software components running on DSP/NSP processors to meet product goals for latency, throughput, power, robustness, and stability on automotive platforms.
• Translate architecture guidance into clear module designs, APIs/IDLs, and tests; author concise design docs that enable review and execution.
• Profile end-to-end compute paths (CPU NSP/DSP), identify bottlenecks using SDK profilers/debuggers, and land measurable performance and power improvements.
• Optimize memory usage and scheduling (e.g., tightly-coupled memory, caching strategies, thread priorities) to achieve target KPIs for real-world workloads.
• Contribute to SDKs, developer tools, samples, and documentation that streamline application development and partner integrations on our AI software stack.
• Collaborate with Platform drivers, virtualization, power/performance, and system teams to align resource provisioning, scheduling, and reliability with feature needs.
• Write high-quality, production-ready code with defensive techniques, fault handling, diagnostics, and long-haul stability tests suitable for automotive deployments.
• Engage with automotive OEMs, Tier-1s, and ISVs to triage, reproduce, root-cause, and resolve integration issues in owned modules; deliver patches and guidance.
• Participate in code/design reviews, uphold coding standards and safety/quality practices, and contribute to continuous improvement of team processes.
• Provide data-driven inputs (requirements, prototypes, benchmarks) that inform next-generation DSP/NSP software architecture and tooling.
• Maintain clear change logs and documentation; ensure backward compatibility, versioning discipline, and handoffs across internal/external stakeholders.
• Support release readiness with test coverage, automation, and performance/stability sign-offs for the features you own.

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 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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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.

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Pay range and Other Compensation & Benefits:
$140,800.00 - $211,200.00

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 - 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.