Multimedia Architect

About the role

Serves as a technical expert in identifying patterns of issues in systems-level software and hardware design and implications for work across teams; provides support to multiple teams to address issues and generate solutions; creates well-defined architectures that meet ambiguous requirements and/or have a financial impact.

Advises multiple teams in design reviews to facilitate platform development; drives evaluation of total system performance based on constraints and/or capabilities to support design integrity.

Takes ambiguous requirements, business requirements, and aligns cross-functional efforts to ensure internal and/or external customer requirements are gathered and agreed upon; communicates a technical vision for guiding multiple teams to design products and solutions.

Acts as a technical lead and owns complete testing for software and hardware performance and quality; supports multiple teams through testing, data analytics, and validation of design; defines specifications for software and hardware; works with leaders to guide architectural decisions related to multimedia systems-level software, hardware, and/or products.

Serves as a technical expert when leading teams by translating strategic goals and roadmaps into smaller projects and desired features; uses deep and broad technical understanding to review the team's new algorithms, provide implications for work across teams, and triage complex technical issues by generating new solutions and involving others; decide how solutions would be partitioned on the SOC level.

Serves as a technical expert and provides support to teams on data engineering or data management issues for machine learning solutions within a domain. Acts as a technical lead for teams developing machine learning solutions; reviews and helps write proposals or roadmaps for complex products; consults with staff engineers to ensure they understand development requirements for products.

Provides technical expertise to others within the team regarding experiments to train and evaluate machine learning solutions and communicates progress to key stakeholders.

Evaluates topologies against performance, and cost variables and uses the feasibility findings to review the high-level design for multiple products, product families, or technologies; provides guidance, direction, and decision making; presents the analysis and the recommended route/topology that should be used to maximize performance, quality, and costs while reducing risks to the schedule and implementation.

Leverages deep technical expertise to identify trends and define future solutions by contributing to discussions on the short- and long-term strategic direction of the product/technology roadmaps. Leads technical conversations; resolves cross functional design and technical issues related to technical area of expertise; sets expectations and is an example for teams in documenting technical and/or overall system issues; participates in patent application reviews.

Responsibilities

• Serves as a technical expert in identifying patterns of issues in systems-level software and hardware design and implications for work across teams; provides support to multiple teams to address issues and generate solutions; creates well-defined architectures that meet ambiguous requirements and/or have a financial impact.
• Advises multiple teams in design reviews to facilitate platform development; drives evaluation of total system performance based on constraints and/or capabilities to support design integrity.
• Takes ambiguous requirements, business requirements, and aligns cross-functional efforts to ensure internal and/or external customer requirements are gathered and agreed upon; communicates a technical vision for guiding multiple teams to design products and solutions.
• Acts as a technical lead and owns complete testing for software and hardware performance and quality; supports multiple teams through testing, data analytics, and validation of design; defines specifications for software and hardware; works with leaders to guide architectural decisions related to multimedia systems-level software, hardware, and/or products.
• Serves as a technical expert when leading teams by translating strategic goals and roadmaps into smaller projects and desired features; uses deep and broad technical understanding to review the team's new algorithms, provide implications for work across teams, and triage complex technical issues by generating new solutions and involving others; decide how solutions would be partitioned on the SOC level.
• Serves as a technical expert and provides support to teams on data engineering or data management issues for machine learning solutions within a domain. Acts as a technical lead for teams developing machine learning solutions; reviews and helps write proposals or roadmaps for complex products; consults with staff engineers to ensure they understand development requirements for products.
• Provides technical expertise to others within the team regarding experiments to train and evaluate machine learning solutions and communicates progress to key stakeholders.
• Evaluates topologies against performance, and cost variables and uses the feasibility findings to review the high-level design for multiple products, product families, or technologies; provides guidance, direction, and decision making; presents the analysis and the recommended route/topology that should be used to maximize performance, quality, and costs while reducing risks to the schedule and implementation.
• Leverages deep technical expertise to identify trends and define future solutions by contributing to discussions on the short- and long-term strategic direction of the product/technology roadmaps. Leads technical conversations; resolves cross functional design and technical issues related to technical area of expertise; sets expectations and is an example for teams in documenting technical and/or overall system issues; participates in patent application reviews.

Requirements

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.
• OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience.
• OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
• Works in the lab, can use hazardous chemicals (e.g., glue, machinery).

Qualifications

• Master’s degree or Ph.D. in Computer Science, Electrical Engineering, or related field.
• 10+ years of Systems Engineering or related work experience.
• 2+ years of experience working in one or more multimedia technology areas (i.e., speech, audio, imaging, computer vision, display, sensing, biometrics, augmented/virtual reality).

Skills

• Master’s degree or Ph.D. in Computer Science, Electrical Engineering, or related field.
• 10+ years of Systems Engineering or related work experience.
• 2+ years of experience working in one or more multimedia technology areas (i.e., speech, audio, imaging, computer vision, display, sensing, biometrics, augmented/virtual reality).

Benefits

Pay Range And Other Compensation & Benefits
$190,800.00 - $286,200.00

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.

Pay

$190,800.00 - $286,200.00

Schedule

Not specified