Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves live in the moment learn about the world and have fun together. The Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.
Were looking for an On-device OS Embedded AI Engineer to join the Spectacles team and work on integrating artificial intelligence and machine learning models into the core operating systems and firmware.
What youll do:
The primary goal is to ensure seamless performance of AI features within the resource constraints of embedded hardware
Developing embedded software in languages like C and C and integrating AI capabilities directly into the operating system
Optimizing AI/ML models for on-device execution using specialized co-processors like NPUs
Managing system performance related to power thermal management and battery life when running intensive AI tasks
Collaborating with hardware teams and application developers to define APIs and ensure vertical integration of the software stack
Debugging and resolving system issues ensuring code and system health through rigorous testing
Participate in design reviews code review with peers and stakeholders to create reliable solutions
Knowledge Skills & Abilities:
Programming Languages: Expertise in low-level systems programming languages C and C.
AI/ML Experience: Experience with on-device machine learning data structures and algorithms.
Any ability to optimize and deploy ML models for resource-constrained edge devices using techniques like - quantization/pruning and frameworks (e.g. TensorFlow Lite ONNX Runtime Core ML) is a plus
Problem-Solving: Excellent debugging troubleshooting and large-scale system data analysis skills.
Minimum Qualifications:
Bachelors Degree in a relevant technical field such as computer science or electrical engineering or equivalent years of experience
2 years of experience with in low-level systems programming languages primarily C and C
AI/ML Experience: 1 years Experience with on-device machine learning data structures and algorithms.
Preferred Qualifications:
Advanced degree in a relevant field such as computer science or electrical engineering
Experience in one or more of the following areas: BSP/Board Support Package Operating Systems Android/Linux Embedded OS Graphics Camera Audio and Display with a view towards writing performant and energy efficient solutions
If you have a disability or special need that requires accommodation please dont be shy and provide us some information.
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.
At Snap we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring where applicable).
Compensation
In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidates starting pay will be determined based on job-related skills experience qualifications work location and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
The base salary range for this position is $157000-$235000 annually.Required Experience:
IC
We believe the camera presents the greatest opportunity to improve the way people live and communicate.