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Senior Embedded Engineer Edge AI Camera Systems
- San Carlos, Arizona, United States
- San Carlos, Arizona, United States
About
Drive performance optimization of C++ code for resource-constrained environments, establishing standards for balancing detection accuracy with power consumption and processing speed
Design and implement robust embedded systems that operate reliably across diverse weather conditions and deployment scenarios at scale
Own integration strategy with camera sensors, communication modules, and power management systems using standard embedded protocols
Collaborate closely with AI teams to architect and optimize computer vision model deployment on edge hardware
Establish testing frameworks and debugging tools for embedded systems validation and comprehensive field troubleshooting
Lead system architecture decisions and establish embedded development best practices across the engineering organization
Mentor junior engineers and provide technical leadership on complex embedded systems challenges
What We’re Looking For 10+ years of embedded software development experience with C/C++ in production environments, with demonstrated technical leadership
Deep expertise in embedded systems, including real-time programming, memory management, hardware interfaces, and system-level optimization
Proven experience with camera systems, image processing, or computer vision applications in production deployments
Advanced knowledge of embedded debugging tools, testing methodologies, and performance optimization techniques
Strong understanding of power management, thermal considerations, and environmental constraints in embedded design, with experience making architectural trade-offs
Demonstrated ability to lead cross-functional technical initiatives and communicate complex concepts to diverse stakeholders
Experience mentoring engineers and establishing technical standards within a team
Bonus Points Extensive experience with edge AI inference, embedded Linux, real-time operating systems, or outdoor/industrial embedded deployments
Background in safety-critical or automotive systems
WhyObvio Your work will help save lives and improve road safety
Series A of $22M led by Bain Capital
Fast-moving startup environment with meaningful ownership
Competitive compensation and early-stage equity
Obvio is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Obvio considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. Obvio is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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- English
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