Qualcomm

Sr. Staff Engineering

Remote San Diego, CA
USD 194k - 291k
Machine Learning C++ Java Python Android
Description


Company:

Qualcomm Innovation Center, Inc.

Job Area:

Engineering Group, Engineering Group > Software 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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.  

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.

• 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Responsibilities

The Project Engineer will fulfill a project engineering role in Qualcomm’s Automotive Business Unit working to drive ADAS projects with new, leading industrial partners/customers. In this role, you will define and deliver innovative ideas, work on broadly defined opportunities, and partner with the business team on execution and delivery.

Responsibilities include:

  • Ownership of technology development, execution, and communication across technology teams and technical communication with customer/counterparts.
  • Ownership and leadership of Architecture / Design / Development Strategy – Technology owner (working with Product Marketing for overall SW portfolio strategy)
  • Drives industry best practices for software engineering including ASPICE, FuSa compliance.
  • Resolve key technical issue across teams.
  • Drive resolution on technical priorities when there is conflicts and tradeoffs within automotive team and cross core teams.
  • Responsible for engineering risk and impact analysis
  • Drive and mandate quality of goals in conjunctions with Program Manager
  • Communication of the technical solution internally and externally when needed.
  • Availability in key meetings pertinent to the technical discussions
  • Contribute to lessons learned and project retrospectives from the technical perspective.

Preferred Qualifications

  • Experience as a Project Engineer or System Architect
  • Demonstrated ability to take a business goal and drive the technology requirements and product design and service business.
  • Self-driven and comfortable spanning software, hardware, system, and commercialization skills.
  • High level of focus on ensuring very successful projects.
  • Strong knowledge and experience on ADAS and AD project development
  • Depth of knowledge in at least one technology area is expected (e.g., Linux, Android, QNX, Display/GFX/Video/Audio/Camera, Security, Virtualization, Performance, Stability, machine learning etc.)
  • Familiar with ASPICE, ISO 26262 and Cybersecurity and relevant assessment experience.

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 here 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.

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. 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.

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:

$194,000.00 - $291,000.00

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 Qualcomm Careers.

Qualcomm
Qualcomm
Artificial Intelligence (AI) Generative AI Machine Learning Manufacturing Natural Language Processing Predictive Analytics Software Telecommunications Wireless

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