Mixed Signal Design / Systems Engineer

📍 Job Overview

Job Title: Mixed Signal Design / Systems Engineer

Company: Qualcomm Technologies, Inc.

Location: Santa Clara, California, United States

Job Type: FULL_TIME

Category: Engineering (Mixed Signal Design & Systems Engineering)

Date Posted: 2026-04-16

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Drive the development of innovative biometric solutions, specifically fingerprint sensors, for next-generation mobile devices, requiring a blend of mixed-signal design and systems engineering expertise.

• Architect, design, and verify cutting-edge mixed-signal sensor circuitry using advanced CMOS IC design methodologies to push performance, reliability, and integration boundaries.

• Perform detailed system analysis, including use case and product requirement analysis, functional decomposition, and system simulation modeling to optimize performance and power consumption.

• Lead full-cycle product development from system modeling and sensor pixel design to driver circuit development and iterative improvements based on simulation and characterization.

📝 Enhancement Note: This role is highly specialized within the semiconductor industry, focusing on the intersection of hardware design (mixed-signal IC) and system-level functionality for biometric sensors. The "Systems Engineer" aspect implies a critical role in defining requirements, optimizing performance through algorithmic and system changes, and ensuring overall product viability. The emphasis on "biometric solutions" and "fingerprint sensors" provides specific domain context.

📈 Primary Responsibilities

• Architect and design advanced mixed-signal sensor circuitry for biometric solutions, with a focus on fingerprint sensors.

• Drive circuit-level design and verification for cutting-edge fingerprint sensor technologies, pushing performance, reliability, and integration.

• Analyze use cases and product requirements to derive system requirements for hardware and/or software implementation.

• Conduct system analysis and simulation modeling to propose algorithmic and/or system changes for performance and power optimization.

• Lead full-cycle development, including system modeling, sensor pixel design, driver circuit design, and optimization across key performance metrics.

• Develop hardware specifications for ASICs, sensors, and module components, translating system-level requirements into detailed circuit specifications.

• Execute sensor circuit- and pixel-level simulations using Cadence ADE/Spectre, HSPICE, MATLAB, and other industry-standard tools.

• Perform system-level studies, including architecture exploration, fundamental physics analysis, and performance trade-off evaluations.

• Develop algorithms to enhance system-level performance and user experience.

• Guide and review pixel-level and block-level layout to ensure performance, area efficiency, manufacturability, and reliability.

• Debug circuit, pixel, and system-level issues, refining designs based on simulation insights and sensor characterization data.

• Support sensor bring-up through lab measurements, functional validation, and correlation between simulated and actual sensor behavior.

• Collaborate closely with cross-functional teams including system, firmware, product, and test engineering for optimal sensor and system performance.

• Prepare clear technical documentation, design descriptions, and test materials for internal stakeholders and external partners.

• Lead evaluation of system performance against design constraints and capabilities, working with multiple groups to ensure design integrity.

• Independently identify and address complex system-level software and hardware design issues, making recommendations for new technologies and architectural solutions.

📝 Enhancement Note: The responsibilities highlight a deep dive into the full product lifecycle of a sensor, from initial system conceptualization and specification through detailed circuit design, simulation, verification, layout guidance, debugging, lab bring-up, and cross-functional collaboration. The emphasis on "lead," "drive," and "independently identifies issues" suggests a senior-level role with significant autonomy and problem-solving responsibility.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 6+ years of Systems Engineering or related work experience.

• OR Master's degree in Engineering, Information Systems, Computer Science, or related field with 5+ years of Systems Engineering or related work experience.

Experience:

• Minimum of 4-6 years of experience in Systems Engineering or related engineering fields, depending on the advanced degree level.

Required Skills:

• Proficient in mixed-signal design methodologies for sensor circuitry.

• Strong understanding of CMOS IC design principles and advanced applications.

• Expertise in system engineering, including requirements analysis, functional decomposition, and system architecture definition.

• Experience with system simulation modeling and performance optimization techniques.

• Hands-on experience with industry-standard design and simulation tools such as Cadence ADE, Spectre, HSPICE, MATLAB.

• Familiarity with hardware description languages like Verilog or VHDL for design and verification.

• Demonstrated ability to debug complex hardware and system-level issues.

Preferred Skills:

• Master’s or Ph.D. in Computer Science, Electrical Engineering, or a closely related field.

• Experience with algorithm development, validation, and system-level performance characterization.

• Familiarity with ASIC specifications, sensor physics, or module-level design.

• Proven ability to define architecture and integrate systems into commercial products.

• Strong analytical and problem-solving skills with a keen eye for performance in edge cases.

• Experience with CMOS sensor design, particularly with TFT/LTPS technologies.

• Solid understanding of hardware/software interaction, including firmware development and HW/SW co-optimization.

• Proficiency in scripting and programming languages such as Python for automation and analysis.

• Experience in leading design reviews and supporting platform development.

📝 Enhancement Note: The "Minimum Qualifications" are presented with a tiered structure based on degree level, common in semiconductor and advanced engineering roles. The "Preferred Qualifications" strongly indicate a need for candidates with a deep background in sensor technology, advanced simulation tools, and the practical application of designs in commercial products, particularly within the mobile device sector. The emphasis on both "mixed-signal design" and "systems engineering" is critical.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of successful mixed-signal IC designs, ideally for sensor applications, showcasing innovation and problem-solving.

• Case studies detailing system-level analysis projects, including requirement derivation, architectural trade-offs, and performance optimization strategies.

• Examples of algorithm development and implementation that led to measurable improvements in system performance or power efficiency.

• Documentation of full-cycle product development, highlighting contributions from initial concept through to lab validation and debug.

Process Documentation:

• Workflow designs for identifying and translating system requirements into detailed circuit specifications for mixed-signal ICs.

• Methodologies for component-level and system-level simulation, including corner analysis, performance trade-offs, and iterative design refinement.

• Implementation strategies for sensor pixel design, driver circuitry, and integration into larger modules or ASICs.

• Measurement and performance analysis of sensor characteristics, including correlation between simulation models and lab results.

• Debugging processes for identifying and resolving issues across circuit, pixel, and system levels.

📝 Enhancement Note: For a role requiring both design and systems engineering, a portfolio should showcase a breadth of skills. This includes concrete examples of IC design work (schematics, simulation results), system-level analysis (architecture diagrams, trade-off analyses), algorithmic contributions, and evidence of problem-solving from concept to lab. The focus is on demonstrating a structured approach to complex engineering challenges.

💵 Compensation & Benefits

Salary Range: $198,600.00 - $297,800.00 USD annually.

Benefits:

• Competitive annual discretionary bonus program.

• Opportunity for annual RSU (Restricted Stock Unit) grants.

• Highly competitive and comprehensive benefits package designed to support employee success at work, at home, and at play.

• Specific details on the US benefits package are available via a provided link.

Working Hours: 40 hours per week (standard full-time).

📝 Enhancement Note: The salary range provided is a strong indicator of the seniority and specialized nature of this role within the semiconductor industry, particularly in a high-cost-of-living area like Santa Clara, California. The inclusion of bonus programs and RSU grants signifies a total compensation package that goes beyond base salary, common for experienced engineering roles at major tech companies. The mention of "employees on sales-incentive plans are not eligible for our annual bonus" suggests distinct compensation structures for different roles, reinforcing the technical focus of this position.

🎯 Team & Company Context

🏢 Company Culture

Industry: Semiconductor Manufacturing & Technology. Qualcomm is a global leader in wireless technology, driving innovation in mobile, automotive, IoT, and other sectors. This role is within the engineering group focused on multimedia systems, specifically biometric sensors.

Company Size: Qualcomm is a large, established multinational corporation with tens of thousands of employees globally. This means access to extensive resources, a structured environment, and opportunities for broad impact.

Founded: Qualcomm was founded in 1985, indicating a long history of innovation and a stable corporate structure.

Team Structure:

• The role is within the Engineering Group, specifically within the Multimedia Systems division, focusing on Fingerprint Sensor technology.

• The team likely comprises specialized engineers in mixed-signal IC design, sensor physics, system architecture, firmware development, and algorithm engineering.

Methodology:

• Data-driven decision-making is paramount, utilizing advanced simulation tools and rigorous lab validation.

• Emphasis on innovation and pushing technological boundaries in sensor performance, power efficiency, and integration.

• A structured design process, likely adhering to industry best practices for IC development and system integration.

• Collaborative problem-solving and knowledge sharing are essential for tackling complex technical challenges.

Company Website: qualcomm.com

📝 Enhancement Note: Qualcomm's position as a major semiconductor and wireless technology leader suggests a culture of high performance, innovation, and rigorous engineering standards. The scale of the company implies complex project management and the need for effective cross-functional collaboration. The focus on "multimedia systems" and "biometric sensors" points to a team working on cutting-edge consumer electronics technology.

📈 Career & Growth Analysis

Operations Career Level: This role appears to be at a senior or principal engineer level, given the experience requirements (4-10 years depending on degree) and the responsibilities involving leading full-cycle development, system modeling, and independent issue identification. It requires a deep technical specialization in both mixed-signal design and systems engineering.

Reporting Structure: The candidate will likely report to an Engineering Manager or Director within the Multimedia Systems division, with potential for project-specific leadership and mentorship of junior engineers.

Operations Impact: The work directly impacts the performance, security, and user experience of next-generation mobile devices. Successful development of advanced fingerprint sensors contributes significantly to product differentiation, reliability, and Qualcomm's market leadership in biometric technology.

Growth Opportunities:

• Technical Specialization: Deepen expertise in advanced CMOS sensor design, biometric algorithms, or specific system architecture domains.

• Leadership Development: Transition into technical lead roles for major projects, guiding design teams and influencing architectural decisions.

• Cross-Functional Mobility: Explore roles in broader system architecture, product management, or advanced research within Qualcomm's diverse technology portfolio.

• Mentorship: Guide and mentor junior engineers, contributing to the development of future talent within the organization.

• Industry Recognition: Contribute to patents, publications, and industry standards related to sensor technology and biometrics.

📝 Enhancement Note: The role offers substantial growth potential for engineers who excel in both deep technical design and broad system understanding. The career path is likely geared towards becoming a subject matter expert or a technical leader within Qualcomm's sensor technology domain, with opportunities to influence future product roadmaps.

🌐 Work Environment

Office Type: This position is on-site in Santa Clara, California. Qualcomm operates modern, well-equipped engineering facilities designed to foster collaboration and innovation.

Office Location(s): Santa Clara, California, USA. This location is a hub for technology and semiconductor companies, offering a dynamic professional environment.

Workspace Context:

• Access to state-of-the-art design and simulation tools (Cadence, Spectre, HSPICE, MATLAB, Verilog/VHDL, Python).

• Well-equipped laboratories for sensor characterization, bring-up, and validation.

• Collaborative office spaces designed to encourage interaction with cross-functional teams (firmware, software, product, test).

• A professional environment that supports focused technical work and team-based problem-solving.

Work Schedule: The standard work schedule is 40 hours per week. While on-site, there may be flexibility in daily hours, but project deadlines and collaborative needs will influence the specific working patterns.

📝 Enhancement Note: The on-site requirement emphasizes the need for hands-on lab work, direct collaboration with colleagues, and access to specialized hardware and testing equipment that are integral to semiconductor design and validation processes.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and application for minimum qualifications and relevant experience.

• Technical Interviews (Multiple Rounds):

  • Mixed-Signal Design Focus: In-depth questions on CMOS design, circuit analysis, simulation techniques, and debugging methodologies. Expect to discuss specific design challenges and solutions.
  • Systems Engineering Focus: Questions on system architecture, requirements definition, performance analysis, algorithm development, and hardware/software co-optimization. Case studies or hypothetical problem-solving scenarios are likely.
  • Tool Proficiency: Discussion of experience with Cadence, Spectre, HSPICE, MATLAB, Verilog/VHDL, Python, and lab equipment.

• Portfolio Review: A dedicated session to present and discuss selected projects from your portfolio, highlighting your technical contributions, problem-solving approach, and impact.

• Behavioral/Cultural Fit Interview: Assessment of your collaboration style, problem-solving approach, communication skills, and alignment with Qualcomm's values.

• Hiring Manager Interview: Final discussion to assess overall fit, career aspirations, and confirm understanding of the role's scope and expectations.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your mixed-signal design AND systems engineering capabilities, ideally related to sensors or similar complex ICs.

• Structure Your Case Studies: For each project, clearly articulate:

  • The problem statement/objective.
  • Your specific role and contributions.
  • The design methodology and tools used.
  • Key challenges encountered and how you overcame them.
  • The results achieved (performance metrics, power savings, reliability improvements).
  • Lessons learned.

• Quantify Impact: Use data and metrics wherever possible to demonstrate the success and impact of your work (e.g., "achieved X% improvement in SNR," "reduced power consumption by Y%," "met Z specification for noise floor").

• Be Prepared to Deep Dive: Expect detailed technical questions about your designs, simulation results, and debugging processes. Be ready to draw diagrams and explain complex concepts clearly.

• Highlight Collaboration: If applicable, explain how you worked with firmware, software, or other teams to achieve system-level goals.

Challenge Preparation:

• System Design Scenarios: Be ready to analyze a hypothetical sensor system, identify potential bottlenecks, and propose solutions for performance, power, or area optimization.

• Circuit Design Problems: Prepare to analyze a given mixed-signal circuit block, identify potential issues, and suggest design improvements.

• Algorithm Discussion: Be prepared to discuss how algorithms can be used to enhance sensor performance or mitigate noise, and how these might be implemented in hardware or firmware.

• Tool Usage Scenarios: Think about how you've used Cadence, MATLAB, Python, etc., to solve specific design or analysis problems.

📝 Enhancement Note: The interview process is expected to be rigorous, focusing heavily on technical depth in both design and systems engineering. A well-prepared portfolio that clearly articulates technical contributions, problem-solving, and measurable outcomes will be crucial for success. The emphasis on "mixed-signal design" and "systems engineering" means candidates should be ready to discuss concepts from both domains.

🛠 Tools & Technology Stack

Primary Tools:

• Mixed-Signal Design & Simulation: Cadence ADE, Spectre, HSPICE (essential for circuit simulation and analysis).

• Hardware Description Languages: Verilog, VHDL (for design, verification, and potentially firmware interaction).

• System Modeling & Analysis: MATLAB (widely used for algorithm development, signal processing, and system simulation).

• Programming & Scripting: Python (for automation, data analysis, tool scripting, and potentially firmware development support).

Analytics & Reporting:

• Tools for sensor characterization data analysis and performance reporting.

CRM & Automation:

• While not directly a CRM role, understanding how sensor performance impacts the overall product lifecycle and customer experience is key.

• Automation tools (likely Python-based) for test execution, data processing, and design flow optimization.

• Integration tools for connecting simulation environments, lab equipment, and analysis platforms.

📝 Enhancement Note: Proficiency in industry-standard EDA (Electronic Design Automation) tools like Cadence and SPICE simulators, along with strong analytical and programming skills in MATLAB and Python, are critical. The job description explicitly mentions these tools, making them key technologies for any applicant to highlight.

👥 Team Culture & Values

Operations Values:

• Innovation: A drive to develop cutting-edge technologies that push the boundaries of what's possible in sensor design and biometric systems.

• Excellence: Commitment to high-quality design, rigorous verification, and robust product performance.

• Collaboration: A belief in the power of cross-functional teamwork to solve complex problems and achieve shared goals.

• Data-Driven: Decisions are made based on thorough analysis, simulation results, and empirical lab data.

• Customer Focus: Designing solutions that meet the needs of end-users and contribute to the success of Qualcomm's products.

Collaboration Style:

• Engineers are expected to work closely with peers in mixed-signal design, systems engineering, firmware, and software development.

• Open communication and constructive feedback are encouraged to collectively solve intricate technical challenges.

• A proactive approach to sharing knowledge and insights across teams to ensure holistic product success.

• Designers are expected to support and collaborate with lab engineers during sensor bring-up and validation phases.

📝 Enhancement Note: Qualcomm's culture likely emphasizes high achievement, technical rigor, and collaborative problem-solving. The values highlight a commitment to innovation and quality, essential for a company at the forefront of semiconductor technology. The emphasis on collaboration underscores the interconnectedness of design, systems, and firmware in developing complex integrated solutions.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Performance and Power: Optimizing sensor performance (e.g., accuracy, speed, SNR) while minimizing power consumption, a critical constraint in mobile devices.

• Integration Complexity: Ensuring seamless integration of the mixed-signal sensor into the broader system architecture, considering interactions with other components and firmware.

• Edge Case Performance: Designing for robust performance across a wide range of environmental conditions and usage scenarios, including challenging edge cases.

• Rapid Technological Evolution: Staying abreast of advancements in CMOS technology, sensor physics, and biometric algorithms to maintain a competitive edge.

Learning & Development Opportunities:

• Advanced Technical Training: Opportunities to deepen expertise in specialized areas of mixed-signal design, sensor physics, or system architecture.

• Industry Conferences & Publications: Support for attending and presenting at leading industry conferences (e.g., ISSCC, VLSI Symposium) and contributing to patents.

• Mentorship Programs: Access to experienced engineers and technical leaders for guidance and career development.

• Exposure to Diverse Projects: Involvement in developing sensors for various applications beyond mobile, such as automotive or IoT, offering broad exposure.

📝 Enhancement Note: The challenges presented are inherent to advanced semiconductor and system design, requiring a candidate who thrives on complex problem-solving and continuous learning. The growth opportunities are geared towards becoming a recognized technical expert and leader within the field.

💡 Interview Preparation

Strategy Questions:

• Mixed-Signal Design Strategy: "Describe a complex mixed-signal design challenge you faced in a sensor project. How did you approach the design, simulation, and debugging to achieve the required performance metrics?"

• Systems Engineering Strategy: "Imagine a new requirement for a fingerprint sensor to improve authentication speed by 20% with a 10% reduction in power. How would you decompose this requirement, analyze potential trade-offs, and propose solutions at the system and circuit level?"

• Problem-Solving & Debugging: "You are seeing unexpected noise in sensor readings during lab characterization that wasn't present in simulations. What systematic approach would you take to identify the root cause, considering both hardware and potential firmware interactions?"

Company & Culture Questions:

• "Why are you interested in working at Qualcomm, specifically on fingerprint sensor technology?"

• "How do you approach collaboration with firmware and software engineers to achieve optimal system performance?"

Portfolio Presentation Strategy:

• Focus on Impact: Clearly articulate the business or product impact of your technical work, not just the technical details.

• Storytelling: Frame each project as a narrative: the challenge, your solution, and the successful outcome.

• Visual Aids: Use clear diagrams, simulation plots, and performance graphs to illustrate your points effectively. Be prepared to explain each visual.

• Quantify Results: Emphasize metrics, performance improvements, and any cost/power savings achieved.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design choices, simulation setups, and debugging processes.

Challenge Preparation:

• System Architecture Design: Be ready to sketch out a high-level architecture for a sensor system and discuss key components, interfaces, and potential challenges.

• Algorithm Application: Consider how algorithms like noise filtering, signal enhancement, or pattern recognition are applied in sensor technology.

• Hardware/Software Co-Design: Think about how firmware logic and hardware capabilities interact and how to optimize this interaction for performance and power.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong command of both mixed-signal design principles and systems engineering methodologies. Candidates should be ready to articulate their problem-solving process, quantify their achievements, and show how they can contribute to Qualcomm's innovative environment.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Qualcomm Careers portal using the provided job link.

• Resume Optimization: Tailor your resume to highlight experience with mixed-signal design, systems engineering, CMOS IC design, sensor development, and specific tools like Cadence, Spectre, HSPICE, MATLAB, Verilog/VHDL, and Python. Quantify achievements with metrics wherever possible.

• Portfolio Curation: Select 2-3 key projects that best showcase your mixed-signal design and systems engineering expertise. Prepare to present these projects clearly, focusing on technical challenges, your solutions, and quantifiable results.

• Technical Preparation: Brush up on fundamental mixed-signal circuit concepts, system design principles, algorithm development, and common debugging strategies. Practice explaining complex technical topics concisely.

• Company Research: Familiarize yourself with Qualcomm's products, particularly in the biometric sensor space, and understand their market position and recent innovations. Consider how your skills align with their current technological goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.