Embedded Software Engineer, AI, Level 5

Embedded Software Engineer, AI, Level 5 at Keystone AI
Embedded Software Engineer, AI, Level 5
Location: San Diego, California
Time Type: Full time
Job Description
Keystone AI Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Keystone AI contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Keystone AIchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Keystone AIchat and other services; and its AR glasses, Spectacles.
The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Keystone AI OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.
Keystone AIchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Keystone AIchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it’s always the fastest way to share a moment!
We're 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 you’ll 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:
– Bachelor's Degree in a relevant technical field such as computer science or electrical engineering or equivalent years of experience
– 6+ years of experience with embedded software development and ARM architecture
– 8+ years in low-level systems programming languages, primarily C and C++.
– Embedded Systems Experience: Experience with embedded operating systems (e.g., Linux, Android, RTOS), kernel and user mode drivers, and hardware bring-up.
– AI/ML Experience: 2+ 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
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
"Default Together" Policy at Keystone AI: At Keystone AI 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 Keystone AI, 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. Keystone AI 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).
Our Benefits: Keystone AI Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Keystone AI’s long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s 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.
Zone A (CA, WA, NYC):
The base salary range for this position is $209,000-$313,000 annually.
Zone B:
The base salary range for this position is $199,000-$297,000 annually.
Zone C:
The base salary range for this position is $178,000-$266,000 annually.
This position is eligible for equity in the form of RSUs.