📍 Job Overview

Job Title: Video IQ Systems Engineer, up to Staff (Taipei)
Company: Qualcomm Semiconductor Limited
Location: Taipei, Taipei, Taiwan
Job Type: On-site
Category: Systems Engineering
Date Posted: 2025-06-20
Experience Level: 5-10 years
Remote Status: On-site

🚀 Role Summary

Key Responsibilities: Evaluate and optimize video processing pipeline, improve video quality, analyze customer use cases, and propose optimizations.
Key Skills: Video Quality, Video Coding, Video Encoder, Scene Analysis, Rate Control, Real-Time Systems, Embedded Systems, C, C++

📝 Enhancement Note: This role focuses on video processing and quality improvement, requiring a strong background in video encoding, real-time systems, and embedded systems. The candidate should be comfortable working with video standards and quality evaluation metrics.

💻 Primary Responsibilities

Video Processing Pipeline Evaluation: Evaluate the complete video processing pipeline, including camera, analytics, and video encoder.
Video Quality Improvement: Optimize processing components and develop features to improve video quality.
Encoder Optimization: Optimize video compression engine and develop encoder features in an embedded firmware environment.
Customer Support: Analyze customer-specific use cases and propose optimizations to achieve the best video quality.
Travel: 60%–80% workload for customer support; 20% onsite availability for business travel across APAC and China.

📝 Enhancement Note: The role requires a balance between technical depth (video processing, encoding, and optimization) and customer-facing responsibilities (customer support and travel). The candidate should be comfortable working in a dynamic environment with varying priorities.

🎓 Skills & Qualifications

Education: Bachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering (required); Master's or Ph.D. in a related field (preferred)

Experience: 5+ years of experience in video encoder processing and real-time embedded firmware/software development

Required Skills:

Good understanding of video processing pipeline and video standards
Video algorithms skills including scene analysis, motion estimation, block shape/mode decision, and rate control
Knowledge of real-time operating systems and data structures
Familiarity with both objective and subjective video image quality assessment methodologies

Preferred Skills:

Experience using machine learning techniques for image and video analysis
Familiarity with Snapdragon software flow and ISP
Good understanding of video HDR standards such as HDR10, HDR10+, HLG, and Dolby Vision
Good software development and debugging skills in C and C++, embedded development, and MIPS optimization experience
Analytical and written communication skills

📝 Enhancement Note: The preferred skills section highlights the desired candidate's ability to work with emerging technologies (machine learning) and adapt to new environments (Snapdragon software flow and ISP). Strong communication skills are also emphasized to ensure effective collaboration with cross-functional teams.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Video Processing Pipeline Demonstration: Showcase your understanding of video processing pipeline with relevant projects or case studies.
Video Quality Optimization: Highlight projects where you've optimized video quality, including specific techniques used and results achieved.
Customer-specific Use Case Analysis: Include examples of analyzing customer-specific use cases and proposing optimizations to improve video quality.
Video Encoding and Compression: Demonstrate your proficiency in video encoding and compression, with examples of optimizing video compression engines and developing encoder features.

Technical Documentation:

Code Quality: Document your code with clear comments and follow best practices for code quality in embedded firmware development.
Version Control: Showcase your experience with version control systems, such as Git, and how you've managed and tracked changes in your projects.
Deployment Processes: Detail your experience with deployment processes, including automated deployment and server configuration.
Testing Methodologies: Explain your approach to testing methodologies, performance metrics, and optimization techniques for video processing and encoding.

📝 Enhancement Note: The portfolio requirements emphasize the candidate's ability to demonstrate their technical skills in video processing, encoding, and optimization. The candidate should be prepared to discuss their approach to testing methodologies and performance optimization.

💵 Compensation & Benefits

Salary Range: $80,000 - $120,000 USD (based on industry standards for a Systems Engineer with 5-10 years of experience in Taiwan)

Benefits:

Comprehensive health, dental, and vision plans
Retirement savings plans with company match
Employee stock purchase plan
Generous paid time off and holidays
Tuition reimbursement and professional development opportunities
Employee discounts on Qualcomm products and services

Working Hours: Full-time, 40 hours per week, with flexible hours for deployment windows and maintenance.

📝 Enhancement Note: The salary range is estimated based on industry standards for Systems Engineers with 5-10 years of experience in Taiwan. The benefits listed are common for companies of Qualcomm's size and industry. The working hours may vary depending on project deadlines and maintenance windows.

🎯 Team & Company Context

Company Culture:

Industry: Semiconductor and wireless technology
Company Size: Large (over 10,000 employees)
Founded: 1985 (with a strong focus on innovation and R&D)

Team Structure:

The video group is part of the Systems Engineering department, working closely with hardware and software teams to develop video solutions for Snapdragon processors.
The team consists of specialists in video processing, encoding, and embedded firmware development.
The role reports directly to the Video Group Manager and collaborates with cross-functional teams, including hardware architects, software developers, and quality assurance engineers.

Development Methodology:

Agile/Scrum methodologies with sprint planning for video projects
Code review, testing, and quality assurance practices
Deployment strategies, CI/CD pipelines, and server management

Company Website: qualcomm.com

📝 Enhancement Note: Qualcomm is a large, established company with a strong focus on innovation and R&D. The video group works closely with cross-functional teams to develop video solutions for Snapdragon processors. The role requires strong collaboration and communication skills to work effectively within this team structure.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Systems Engineer, with the potential to grow into a Staff-level role

Reporting Structure: Reports directly to the Video Group Manager, with opportunities for technical leadership and mentoring junior team members

Technical Impact: The role has a significant impact on video quality and performance for Qualcomm's Snapdragon processors, affecting user experience and customer satisfaction

Growth Opportunities:

Technical Specialization: Deepen expertise in video processing, encoding, and optimization, with opportunities to specialize in emerging technologies such as machine learning and AI.
Technical Leadership: Develop technical leadership skills by mentoring junior team members, contributing to architecture decisions, and driving innovation in video processing and encoding.
Cross-functional Collaboration: Expand knowledge and skills by working with other teams, such as hardware architects, software developers, and quality assurance engineers, to improve overall video solutions.

📝 Enhancement Note: The role offers significant growth opportunities for technical specialization and leadership. The candidate should be prepared to take on mentoring responsibilities and contribute to architecture decisions as they grow into a Staff-level role.

🌐 Work Environment

Office Type: On-site, with a modern and collaborative workspace designed to facilitate team interaction and innovation

Office Location(s): Taipei, Taiwan, with additional offices across APAC and China for business travel

Workspace Context:

Collaborative Environment: The workspace is designed to foster collaboration between video processing specialists, hardware architects, software developers, and quality assurance engineers.
Development Tools: Access to multiple monitors, testing devices, and other tools necessary for embedded firmware development and video processing.
Cross-functional Collaboration: Opportunities for knowledge sharing, technical mentoring, and continuous learning through interactions with other teams.

Work Schedule: Flexible hours with core working hours from 9:00 AM to 6:00 PM, with additional time for deployment windows and maintenance as needed.

📝 Enhancement Note: The on-site work environment at Qualcomm is designed to facilitate collaboration and innovation. The candidate should be comfortable working in a dynamic, cross-functional team and be open to learning from other disciplines.

📄 Application & Technical Interview Process

Interview Process:

Technical Preparation: Brush up on video processing fundamentals, video encoding and compression techniques, and real-time systems knowledge. Review relevant projects and case studies to demonstrate your technical expertise.
Video Processing Pipeline Evaluation: Be prepared to discuss your approach to evaluating and optimizing the complete video processing pipeline, including camera, analytics, and video encoder.
Video Quality Optimization: Demonstrate your ability to optimize video quality by discussing specific techniques, tools, and metrics used in your past projects.
Customer-specific Use Case Analysis: Prepare examples of analyzing customer-specific use cases and proposing optimizations to improve video quality.
Final Evaluation: Showcase your problem-solving skills, communication abilities, and cultural fit with the Qualcomm team.

Portfolio Review Tips:

Live Demonstration: Prepare a live demonstration of your video processing pipeline, highlighting your optimization techniques and the resulting improvements in video quality.
Case Study Structure: Organize your portfolio with clear, structured case studies, focusing on user experience and technical implementation details.
Code Quality Demonstration: Showcase your code quality and best practices for embedded firmware development, including clear comments, version control, and deployment processes.
Qualcomm-specific Considerations: Familiarize yourself with Qualcomm's video processing pipeline, Snapdragon software flow, and ISP to tailor your portfolio to the company's specific needs.

Technical Challenge Preparation:

Video Processing Fundamentals: Brush up on video processing fundamentals, including HDR video recording, live streaming, and video quality evaluation metrics.
System Design and Architecture: Prepare for system design and architecture questions, focusing on video processing pipeline design, encoder optimization, and real-time system considerations.
Problem-solving and Communication: Practice explaining complex technical concepts clearly and concisely, demonstrating your ability to communicate effectively with both technical and non-technical stakeholders.

ATS Keywords: Video Quality, Video Coding, Video Encoder, Scene Analysis, Rate Control, Real-Time Systems, Embedded Systems, C, C++, Video Processing Pipeline, Video Standards, Quality Evaluation Metrics, Customer Use Cases, Optimization Techniques, Agile Methodologies, Code Quality, Deployment Processes, Server Management, Cross-functional Collaboration, Technical Leadership, Mentoring, Innovation.

📝 Enhancement Note: The interview process focuses on the candidate's technical expertise in video processing, encoding, and optimization. The candidate should be prepared to discuss their approach to evaluating and optimizing the video processing pipeline, as well as their ability to analyze customer-specific use cases and propose optimizations. The portfolio review tips emphasize the candidate's ability to demonstrate their technical skills through live demonstrations and structured case studies.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: (Not applicable, as this role focuses on video processing and embedded firmware development)

Backend & Server Technologies:

Video Encoding and Compression: AVC (H.264), HEVC (H.265), AV-1, VVC, and other video coding standards
Real-time Operating Systems: Familiarity with real-time operating systems and data structures is required
Embedded Firmware Development: C and C++ programming languages, with experience in embedded development and MIPS optimization

Development & DevOps Tools:

Version Control: Git or other version control systems
Deployment Automation: CI/CD pipelines and automated deployment tools
Server Management: Familiarity with server management and deployment processes

📝 Enhancement Note: The technology stack for this role focuses on video encoding and compression, real-time operating systems, and embedded firmware development. The candidate should be comfortable working with video coding standards, real-time operating systems, and embedded development tools.

👥 Team Culture & Values

Web Development Values:

Innovation: Qualcomm values innovation and encourages team members to push the boundaries of video processing and encoding.
Performance Optimization: The company emphasizes optimizing video quality and performance to meet customer expectations and industry standards.
Collaboration: Qualcomm fosters a collaborative environment, encouraging team members to work together to achieve the best results.
Quality and Reliability: The company prioritizes high-quality, reliable video solutions that meet customer needs and exceed industry standards.

Collaboration Style:

Cross-functional Integration: The video group works closely with hardware architects, software developers, and quality assurance engineers to develop video solutions for Snapdragon processors.
Code Review Culture: The team follows code review practices to ensure code quality, maintainability, and knowledge sharing.
Peer Programming and Mentoring: Qualcomm encourages peer programming and mentoring to facilitate knowledge sharing and continuous learning.

📝 Enhancement Note: Qualcomm's team culture emphasizes innovation, collaboration, and high-quality video solutions. The candidate should be comfortable working in a dynamic, cross-functional team and be open to learning from other disciplines.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Video Processing Pipeline Complexity: Navigate the complexities of the video processing pipeline, including camera, analytics, and video encoder, to optimize video quality.
Emerging Technologies: Stay up-to-date with emerging video technologies, such as machine learning and AI, and integrate them into Qualcomm's video processing pipeline.
Customer-specific Use Case Analysis: Analyze and optimize video processing and encoding for diverse customer use cases, ensuring the best video quality for each scenario.
Performance Optimization: Continuously optimize video encoding and compression to improve performance and meet customer expectations.

Learning & Development Opportunities:

Technical Specialization: Deepen expertise in video processing, encoding, and optimization, with opportunities to specialize in emerging technologies such as machine learning and AI.
Conference Attendance and Certification: Qualcomm supports team members in attending industry conferences, obtaining certifications, and pursuing continuous learning opportunities.
Technical Mentorship and Leadership: Develop technical leadership skills by mentoring junior team members, contributing to architecture decisions, and driving innovation in video processing and encoding.

📝 Enhancement Note: The technical challenges for this role focus on navigating the complexities of the video processing pipeline, staying up-to-date with emerging technologies, and optimizing video quality for diverse customer use cases. The learning and development opportunities emphasize technical specialization, conference attendance, certification, and technical mentorship.

💡 Interview Preparation

Technical Questions:

Video Processing Fundamentals: Be prepared to discuss your understanding of video processing pipeline fundamentals, including HDR video recording, live streaming, and video quality evaluation metrics.
System Design and Architecture: Prepare for system design and architecture questions, focusing on video processing pipeline design, encoder optimization, and real-time system considerations.
Problem-solving and Communication: Practice explaining complex technical concepts clearly and concisely, demonstrating your ability to communicate effectively with both technical and non-technical stakeholders.

Company & Culture Questions:

Qualcomm's Video Processing Pipeline: Familiarize yourself with Qualcomm's video processing pipeline, Snapdragon software flow, and ISP to demonstrate your understanding of the company's specific needs.
Agile Methodologies and Collaboration: Prepare for questions about Qualcomm's Agile methodologies, code review practices, and cross-functional collaboration to showcase your ability to work effectively within the team.
User Experience Impact: Be ready to discuss the impact of your video processing and encoding work on user experience, customer satisfaction, and market competitiveness.

Portfolio Presentation Strategy:

Live Demonstration: Prepare a live demonstration of your video processing pipeline, highlighting your optimization techniques and the resulting improvements in video quality.
Case Study Structure: Organize your portfolio with clear, structured case studies, focusing on user experience and technical implementation details.
Code Quality Demonstration: Showcase your code quality and best practices for embedded firmware development, including clear comments, version control, and deployment processes.
Qualcomm-specific Considerations: Tailor your portfolio to Qualcomm's specific needs, emphasizing your understanding of the company's video processing pipeline, Snapdragon software flow, and ISP.

📝 Enhancement Note: The interview preparation section focuses on the candidate's technical expertise in video processing, encoding, and optimization, as well as their ability to understand and adapt to Qualcomm's specific needs. The candidate should be prepared to discuss their approach to evaluating and optimizing the video processing pipeline, as well as their ability to analyze customer-specific use cases and propose optimizations.

📌 Application Steps

To apply for this Video IQ Systems Engineer, up to Staff (Taipei) position at Qualcomm:

Customize Your Portfolio: Tailor your portfolio to Qualcomm's specific needs, emphasizing your understanding of the company's video processing pipeline, Snapdragon software flow, and ISP. Highlight your video processing, encoding, and optimization skills, with a focus on user experience and technical implementation details.
Optimize Your Resume: Update your resume to reflect your relevant experience in video processing, encoding, and optimization. Highlight your project highlights and technical skills, with an emphasis on web technology keywords and industry-specific terminology.
Prepare for Technical Interview: Brush up on your video processing, encoding, and optimization skills, and review relevant projects and case studies to demonstrate your technical expertise. Familiarize yourself with Qualcomm's video processing pipeline, Snapdragon software flow, and ISP to tailor your interview preparation to the company's specific needs.
Research Qualcomm: Learn about Qualcomm's company culture, team structure, and development methodologies to ensure a strong cultural fit and effective collaboration with the video group.

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

Video IQ Systems Engineer, up to Staff (Taipei)