Implement performance optimization of algorithms.
Able to work in fast-paced working environment; Agile teamwork experience is a plus.
Partner with the QA-team to enhance the test-setup including hardware, software, and Test Automation environments.
Follow best practices for source control development, continuous integration, automated testing, and release management.
Produce and maintain useful and usable documentation of work.
Requirements
Bachelor’s or Master’s in Computer Science and/or Electrical Engineering with an emphasis and passion for multimedia technologies.
Experience in coding with C and C++.
Understanding of C/C++ code optimizations to accelerate on CPU processors using multithreading or SIMD instructions.
Microsoft Windows or Linux development experience is required.
Strong communication skills, both written and verbal.
Desired
Experience and/or background in video and image processing is a plus
Experience accelerating C/C++ code to accelerate on GPU processors using graphics programming languages (OpenGL, Vulkan or Direct3D) is a plus.
Experience accelerating C/C++ code to accelerate on GPU processors using compute programming languages (CUDA or OpenCL) is a plus.
Experience developing and deploying Machine Learning algorithms in a production environment is a plus.
Experience with implementing C++ inference support for ONNYX models using onnxruntime and/or other runtimes.
Experience with OpenCV or OpenMP is a plus.
Experience porting MATLAB code to C/C++ is a plus.
Expertise with Python is a plus.
Exposure to Perforce or Git and Jira.
Knowledge of video technologies, cinema and television production and post-production workflows.
Knowledge of HDR technologies such as Dolby Vision, HDR10, and HLG is a plus.
The San Francisco/Bay Area base salary range for this full-time position is $137,100-$188,300, which can vary if outside this location, plus bonus, benefits, and some roles may also include equity. 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.