Senior Software Engineer, Performance and Machine Learning

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, related technical field or equivalent practical experience.

• 8 years of experience with software development in C or C++

• 3 years of experience working with embedded operating systems

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture

Preferred qualifications:

• Master's degree or PhD in Computer Architecture, Compilers, Performance

• Experience with on-device machine learning/compute optimization

• Experience with performance analysis and optimization

• Experience leading camera/imaging experiences and applications across the SoC

• Experience with image processing and computer vision algorithms

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Help define a roadmap for optimal end-to-end Camera and Video experiences for Google Silicon Work with research, hardware, and software teams to optimize power and performance of imaging workloads across System-on-Chip (SoC) compute IPs and influence algorithm developers on compute capabilities.
• Guide or influence imaging workload and algorithm developers on compute capabilities. Match compute pieces with the appropriate compute blocks and with appropriate tooling.
• Improve overall programming model utilizing heterogeneous compute workflow spanning GPU, TPU, DSP, CPU, and Fixed Function IPs.
• Generate micro benchmarks, sweeps, power/performance characterization for current (silicon) and future designs (simulation).
• Guide and influence SoC architecture evolution with the goal of improving end-to-end use cases year after year. Assess architecture changes from a software, programming model perspective and provide feedback and recommendations.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.