Principal Computer Vision Researcher - Advanced Technology Group

Dolby Laboratories; Sunnyvale (CA); On-site; USD 238,900 - 292,500; Full time

Benefits offered by this job

Flexible work approach

Competitive benefits and compensation

Collaboration with global teams

Job summary

Dolby Laboratories in Sunnyvale, California is seeking a Research Scientist in the Advanced Technology Group to lead hands-on research in image processing and AI. This role requires a PhD and over 8 years of experience in corporate research, focusing on innovative technologies that enhance image delivery and content creation.

Candidates should have a strong publication record, expertise in AI/ML, and be skilled in C/C++ and Python. The position offers competitive compensation, including a salary range of $238,900-$292,500, along with benefits and a flexible work approach.

Qualifications

• 8+ years of corporate research experience.
• Proven expertise in image sensors and camera signal processing.
• Knowledge of AI architectures and deployment.

Responsibilities

• Lead research in image/video capture technologies.
• Guide a team of researchers in innovative projects.
• Define research roadmaps and collaborate with product groups.

Skills

Image processing

AI and machine learning

C/C++

Python

Mentoring skills

Education

Ph.D. in Physics, Electrical Engineering, Mathematics, or Computer Science

Tools

GPU/CPU architectures

Embedded systems

Job description

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

The Advanced Technology Group (ATG) is the research division of the company. ATG’s mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby’s continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

What You’ll Do

Cutting-Edge Research

• Lead hands‑on research at the intersection of classical image processing and modern AI methods.
• Invent and advance next‑generation image/video capture technologies (sensors, camera signal processing, 3D spatial capture).
• Drive projects that enhance image delivery, analysis, rendering, and content creation technologies.
• Collaborate with global research teams to set research directions and fuel Dolby’s licensing and cloud businesses.

Mentorship & Team Development

• Guide and mentor a high‑performing team of researchers in image processing, computer vision, graphics, and content enhancement.
• Foster an innovative, transparent, and results‑oriented research culture.
• Develop and nurture junior researchers into independent contributors and future leaders.

Technology Strategy & Collaboration

• Define research roadmaps in partnership with ATG leaders and align resources to global initiatives.
• Work closely with Dolby’s Business Groups to translate research breakthroughs into real‑world products.
• Influence Dolby’s long‑term technology strategy through collaboration with product managers, program managers, and engineering teams worldwide.

What You Bring

• Ph.D. + 8+ years of corporate research experience in Physics, Electrical Engineering, Mathematics, or Computer Science.
• Proven expertise and publication record in image sensors, lenses, camera signal processing, spectral/3D modeling, geometry, and calibration.
• Deep knowledge of AI and machine learning, including:
  • Network architectures, deployment modes, data augmentation, and performance analysis.
  • Generative models (diffusion, autoregressive, autoencoders).
  • Self‑supervised and contrastive learning.
  • Applications in vision, audio, or multimodal domains (e.g., source separation, segmentation, synthesis, captioning, language models).
• Experience with GPU/CPU architectures, embedded systems, and SoC platforms for ML/AI deployment.
• Strong record of innovation, patents, and publications in top conferences (NeurIPS, ICLR, ICML, CVPR, etc.).
• Skilled in C/C++ and Python with hands‑on research and prototyping experience.
• Proven ability to manage, mentor, and inspire research teams.
• Strong communication and collaboration skills with a passion for turning research into products with global impact.

The San Francisco/Bay Area base salary range for this full‑time position is $238,900-$292,500, which can vary if outside this location, plus bonus, benefits, profit sharing and equity compensation. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process.

Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12.

Equal Employment Opportunity

Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth, and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.