Qualcomm is hiring: Sr. Automotive Machine learning engineer in San Diego
Qualcomm, San Diego, CA, United States
Company: Qualcomm Technologies, Inc.
Job Area: 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.
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.
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.
EEO Employer: 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.
Pay range and Other Compensation & Benefits: 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 .
To all Staffing and Recruiting Agencies : Qualcomm’s 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. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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 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.
#J-18808-Ljbffr
In Summary: 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 . 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 .
En Español: Compañía: Qualcomm Technologies, Inc. Área de trabajo: Grupo de ingeniería Ingeniería del aprendizaje automático Resumen general: Como innovador tecnológico líder, QualcomM empuja los límites de lo que es posible para permitir experiencias de próxima generación y impulsa la transformación digital para ayudar a crear un futuro más inteligente y conectado para todos. Los ingenieros de Qualcomm colaboran con equipos cross-funcionales para mejorar el mundo de los productos móviles, Edge, Auto y IoT a través del hardware y software de aprendizaje automático. Calificaciones mínimas: Licenciatura en Ciencias de la Computación, Ingeniería, Sistemas de Información o campo relacionado y más de 2 años de experiencia en Ingenieria de Hardware, Ingenio de Software, Engeniería de sistemas de información o área relacionada. Maestría en Ciencia de Computadora, Engineering, Systems of Information or related field y 1+ año de ingeniería hardware, ingeniería de software, ingeniaría de sistemas, etc. En ciertas áreas como ciencia de memoria, ingenieria de auto, sistemas informáticos de doctorado o ámbito relacionado. Qualificaciones preferidas: licenciatura en ciencias de computación (Computer Science), ingeniería, sistemas de información, o campos relacionados. Además, nuestro paquete de beneficios altamente competitivo está diseñado para apoyar su éxito en el trabajo, en casa y en el juego. Su reclutador estará encantado de discutir todo lo que Qualcomm tiene que ofrecer y puede revisar más detalles sobre nuestros beneficios estadounidenses en este enlace . Si desea obtener más información acerca de esta función, póngase en contacto con QualComm Careers. Qualcomm no es responsable de las tarifas relacionadas con los curriculum vitae/aplicaciones no solicitados.Qualcomm espera que sus empleados cumplan todas las políticas y procedimientos aplicables, incluyendo pero sin limitarse a la seguridad y otros requisitos relativos a la protección de información confidencial de la empresa y otra información confidenciale y / o propiedad, en la medida en que estos requisitos sean permitidos por la ley aplicable. Rango de remuneración y otras compensaciones y beneficios: $ 140,800.00 - $ 211,200.00 La escala salarial anterior refleja la amplia, mínima a máxima escala de pago para este código de trabajo del lugar para el cual se ha publicado.
Job Area: 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.
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.
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.
EEO Employer: 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.
Pay range and Other Compensation & Benefits: 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 .
To all Staffing and Recruiting Agencies : Qualcomm’s 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. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
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 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.
#J-18808-Ljbffr
In Summary: 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 . 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 .
En Español: Compañía: Qualcomm Technologies, Inc. Área de trabajo: Grupo de ingeniería Ingeniería del aprendizaje automático Resumen general: Como innovador tecnológico líder, QualcomM empuja los límites de lo que es posible para permitir experiencias de próxima generación y impulsa la transformación digital para ayudar a crear un futuro más inteligente y conectado para todos. Los ingenieros de Qualcomm colaboran con equipos cross-funcionales para mejorar el mundo de los productos móviles, Edge, Auto y IoT a través del hardware y software de aprendizaje automático. Calificaciones mínimas: Licenciatura en Ciencias de la Computación, Ingeniería, Sistemas de Información o campo relacionado y más de 2 años de experiencia en Ingenieria de Hardware, Ingenio de Software, Engeniería de sistemas de información o área relacionada. Maestría en Ciencia de Computadora, Engineering, Systems of Information or related field y 1+ año de ingeniería hardware, ingeniería de software, ingeniaría de sistemas, etc. En ciertas áreas como ciencia de memoria, ingenieria de auto, sistemas informáticos de doctorado o ámbito relacionado. Qualificaciones preferidas: licenciatura en ciencias de computación (Computer Science), ingeniería, sistemas de información, o campos relacionados. Además, nuestro paquete de beneficios altamente competitivo está diseñado para apoyar su éxito en el trabajo, en casa y en el juego. Su reclutador estará encantado de discutir todo lo que Qualcomm tiene que ofrecer y puede revisar más detalles sobre nuestros beneficios estadounidenses en este enlace . Si desea obtener más información acerca de esta función, póngase en contacto con QualComm Careers. Qualcomm no es responsable de las tarifas relacionadas con los curriculum vitae/aplicaciones no solicitados.Qualcomm espera que sus empleados cumplan todas las políticas y procedimientos aplicables, incluyendo pero sin limitarse a la seguridad y otros requisitos relativos a la protección de información confidencial de la empresa y otra información confidenciale y / o propiedad, en la medida en que estos requisitos sean permitidos por la ley aplicable. Rango de remuneración y otras compensaciones y beneficios: $ 140,800.00 - $ 211,200.00 La escala salarial anterior refleja la amplia, mínima a máxima escala de pago para este código de trabajo del lugar para el cual se ha publicado.