Qualcomm

Automotive HW Methodology Principal Engineer

Qualcomm$192K — $288K *
Manufacturing & Automotive
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or PhD in Engineering or related field with 6-8 years of ASIC experience.
  • Proven SoC architecture experience throughout the silicon development lifecycle.
  • Broad cross-domain knowledge including hardware, DFT/test, firmware/software interaction, and reliability.
  • Familiarity with DFT technologies (MBIST, ATPG, LBIST) and silicon reliability mechanisms.
  • Understanding of AI/ML applications in predictive maintenance.

Responsibilities

  • Architect Predictive Maintenance solutions across multiple domains for automotive SoCs.
  • Drive key architecture decisions enabling silicon health monitoring and failure mitigation.
  • Collaborate with diverse teams throughout the silicon development process.
  • Translate safety and reliability requirements into hardware and software solutions.
  • Influence roadmap and methodology decisions for scalable predictive solutions.
  • Engage with academic partners for future models and data techniques.
  • Represent predictive maintenance topics in architectural reviews and technical forums.

Benefits

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Comprehensive benefits package supporting work-life balance.
  • Access to ongoing career development opportunities.
Full Job Description
Job Area:
Engineering Group, Engineering Group > ASICS Engineering

General Summary:

Define and drive end-to-end Predictive Maintenance solutions for automotive SoCs, spanning hardware architecture, DFT infrastructure, software enablement, and silicon reliability. The role requires strong SoC architecture experience and a deep understanding of the silicon development lifecycle, from early architecture definition through implementation, validation, qualification, and production. The position works across multiple domains and teams to ensure Predictive Maintenance capabilities are architected, implemented, and productized as part of automotive SoC platforms.

Roles and Responsibilities
  • Architect and own Predictive Maintenance solutions across hardware, DFT, software, and reliability domains for automotive SoCs.
  • Drive SoC-level architecture decisions to enable silicon health monitoring, aging prediction, and proactive failure mitigation.
  • Collaborate closely with SoC architecture, DFT, reliability, manufacturing, technology, and software teams throughout the full silicon development cycle (architecture, design, validation, qualification, and production).
  • Translate reliability and safety requirements into concrete hardware, DFT, and software mechanisms.
  • Influence methodology, infrastructure, and roadmap decisions to ensure scalable and reusable Predictive Maintenance solutions across automotive programs.
  • Collaborate with academic partners to explore and develop future models and data analysis techniques.
  • Represent Predictive Maintenance and silicon health topics in architecture reviews, safety reviews, and cross-functional technical forums.


Minimum Qualifications:
• Bachelor's degree in Science, Engineering, or related field and 8+ years of ASIC design, verification, validation, integration, or related work experience.
OR
Master's degree in Science, Engineering, or related field and 7+ years of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience.

Preferred Qualifications:

  • Strong SoC architecture experience with a solid understanding of the full silicon development lifecycle (architecture definition through production).
  • Broad cross-domain knowledge spanning hardware design, DFT/test infrastructure, firmware/software interaction, and system-level reliability.
  • Experience with DFT technologies such as MBIST, ATPG, LBIST, in-system test, and structural test reuse.
  • Good understanding of silicon aging, reliability mechanisms, and automotive qualification expectations (e.g., lifetime, availability, AEC-Q100).
  • Understanding of AI/ML models and data analysis techniques.
  • Proven ability to drive cross-functional technical solutions in complex, matrixed engineering organizations.
  • Automotive or other safety-critical SoC experience is highly desirable.


Principal Duties and Responsibilities:
• Leverages expert ASIC knowledge and experience to define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP (block/SoC) development for a variety of high performance, high quality, low power products.
• Creates highly advanced architectures, circuit specifications, logic designs, and/or system simulations based on system-level requirements.
• Collaborates with high-level representatives across functional teams (e.g., software architecture, hardware architecture, product management, program management teams) to develop and execute an implementation strategy that meets system requirements and customer needs.
• Serves as an expert resource for all aspects of the process flow from high-level design to synthesis, place and route, timing and power use, and verification or similarly for custom circuit design/layout flow.
• Utilizes tools/applications (e.g., RTL to GDS Flow, Virtuoso) to execute and enable highly advanced architecture and design of multiple complex blocks/SoC or IC Packages; provides technical expertise and support to team members.
• Writes detailed technical documentation for highly complex EDA/IP/ASIC projects; reviews technical documentation for experienced engineers.

Level of Responsibility:
• Decision-making is critical in nature and highly impacts program, product, or project success.
• Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents.
• Has a great degree of influence over key organizational decisions (e.g., is making or directly making key decisions that will have substantial impact over the organization).
• Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Pay range and Other Compensation & Benefits:
$192,000.00 - $288,000.00

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 - 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.

About Qualcomm

Qualcomm Ventures is the investment arm of Qualcomm Incorporated. Founded in 2000, Qualcomm Ventures is a corporate venture capital fund with over 150 active portfolio companies and more than 20 exits over a billion dollars, including 99 Taxis, Cruise Automation, Fitbit, Invensense, NQ Mobile, Waze, and more. As a global investor, Qualcomm Ventures helps connect entrepreneurs to the resources, relationships, and deep industry expertise they need to succeed in the mobile technology ecosystem.

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Learn more about Qualcomm
Size
45,000 employees
Market Cap
$122.5 billion
Industry
Net Income
$6.7 billion
Founded
1985
5 Year Trend
+14.7%
Revenue
$26.6 billion
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