10 часов назад
Senior Embedded Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Embedded Engineer (AI/C++): Building and optimizing software for solar-powered AI traffic-enforcement cameras with an accent on real-time video processing, sensor integration, and resource-constrained embedded performance. Focus on designing edge inference systems, balancing detection accuracy with power and processing limits, and ensuring reliable operation across challenging outdoor environments.
Location: San Carlos, United States; hybrid work
Company
develops solar-powered, AI-assisted cameras that automate traffic-law enforcement and improve pedestrian safety.
What you will do
- Lead embedded software architecture for AI-enabled camera systems, including sensor integration, image processing, and real-time inference pipelines.
- Optimize production C++ code for resource-constrained hardware while balancing detection accuracy, power consumption, and processing speed.
- Design reliable embedded systems for varied weather conditions and large-scale deployments.
- Own integration with camera sensors, communication modules, and power-management systems using standard embedded protocols.
- Collaborate with AI and backend teams on computer-vision model deployment and critical data transmission.
- Establish testing, debugging, and field-troubleshooting practices while mentoring engineers and setting technical standards.
Requirements
- 10+ years of production embedded software development experience with C/C++ and demonstrated technical leadership.
- Deep knowledge of real-time programming, memory management, hardware interfaces, and system-level optimization.
- Production experience with camera systems, image processing, or computer-vision applications.
- Advanced embedded debugging, testing, and performance-optimization skills.
- Understanding of power management, thermal constraints, environmental conditions, and architectural trade-offs.
- Experience leading cross-functional initiatives, communicating complex concepts, mentoring engineers, and establishing technical standards.
Nice to have
- Experience with edge AI inference, embedded Linux, real-time operating systems, or outdoor and industrial embedded deployments.
- Background in safety-critical or automotive systems.
Culture & Benefits
- Work on technology intended to reduce traffic fatalities and improve road safety.
- Fast-moving Series A startup environment with meaningful ownership.
- Competitive compensation and early-stage equity.
- Series A funding of $22 million led by Bain Capital.
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