Software Developer, Machine Learning, DSP
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages, and with data structures or algorithms.
- Experience in Machine Learning or Artificial Intelligence.
- Experience in embedded systems development.
- Experience working in C++.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience in algorithmic optimization for embedded systems.
- Experience in perception, object detection, or image analysis.
About the job
Google's software developers 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 software developers 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 developer, 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 software developers 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.
In this role, you will play a crucial part in ensuring the optimal execution of Machine Learning and classic digital signal processing (DSP) algorithms on specialized hardware. You will be simultaneously developing in C/C++ for Linux, Android, and embedded systems. You will also be regularly interacting with the numerous Machine Learning and Perception processing teams that we support.
The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.
Responsibilities
- Optimize ML graphs for execution on a DSP.
- Support research teams in porting of models to embedded hardware.
- Implement computational nodes utilizing hardware specific intrinsics.
- Perform benchmarking, profiling, and analysis of resource utilization, latency, and power.
- Integrate custom ML frameworks in to the Android ecosystem.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.