Senior Embedded Engineer — Edge AI for Safer Streets

Obvio; San Carlos (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Equity

Competitive compensation

Job summary

Obvio in San Carlos, CA is seeking a Senior Embedded Engineer to lead the development and optimization of AI-enabled traffic enforcement cameras. You will drive architecture for real-time video processing, mentor engineers, and collaborate with hardware, AI, and backend teams to deliver reliable embedded systems.

The role focuses on scalable sensor integration, power-aware design, and edge deployment of computer vision models, with a strong emphasis on robustness across outdoor environments and

Qualifications

• 10+ years of embedded software development experience in production environments.
• 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 in production deployments.
• Advanced knowledge of embedded debugging tools, testing methodologies, and performance optimization techniques.

Responsibilities

• Lead embedded software architecture for AI camera systems, designing scalable solutions for sensor integration, image processing, and real-time inference pipelines.
• Drive performance optimization of C++ code for resource-constrained environments, balancing detection accuracy with power and speed.
• Design and implement robust embedded systems for diverse weather conditions and deployment scenarios at scale.
• Own integration strategy with camera sensors, communication modules, and power management systems.

Skills

Embedded C/C++

Real-time systems

Camera/CV deployments

Architectural leadership

Cross-functional leadership

Power management

Tools

GDB

CI/CD pipelines

Job description

Obvio in San Carlos, CA is seeking a Senior Embedded Engineer to lead the development and optimization of AI-enabled traffic enforcement cameras. You will drive architecture for real-time video processing, mentor engineers, and collaborate with hardware, AI, and backend teams to deliver reliable embedded systems.

The role focuses on scalable sensor integration, power-aware design, and edge deployment of computer vision models, with a strong emphasis on robustness across outdoor environments and