4 дня назад
Software Engineer, Sensor Platform (Robotics)
132 300 - 165 370$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Sensor Platform (Robotics) (C++/Embedded Systems): Designing and developing sensor and compute systems for autonomous vehicles with an accent on embedded and real-time systems, device drivers, concurrency, and hardware reliability. Focus on debugging complex failure modes, building automated testing and metrics monitoring, and integrating sensors and compute hardware with internal stakeholders and external suppliers.
Location: Mountain View, California, United States
Base pay: $132,300–$165,370 annually, plus annual performance bonus, equity, and benefits.
Company
is a physical AI company developing Level 4 autonomous driving technology and a universal autonomy platform for vehicles, robotaxis, and logistics fleets.
What you will do
- Design and develop sensor and compute systems for autonomous vehicles and robotics.
- Architect and deploy sensor and autonomous software with high reliability and performance.
- Deliver reliable software through metrics monitoring, automated testing, and vendor collaboration.
- Debug complex systems, identify root causes of failure modes, and deploy effective solutions.
- Drive cross-functional sensor and compute projects with engineers, product managers, stakeholders, and external suppliers.
Requirements
- 2+ years of industry experience in robotics or autonomous driving systems.
- Proficiency in C++, especially concurrency, and strong knowledge of embedded and real-time systems.
- Understanding of the Linux kernel's role in driver performance.
- Bachelor's, master's, or Ph.D. in Computer Science, Electrical Engineering, or a closely related field.
- Clear communication and effective collaboration with engineers, product managers, and other stakeholders.
Nice to have
- Experience with robotics hardware, sensors, and embedded platforms using CPUs, GPUs, ISPs, and accelerators.
- Experience programming peripheral devices and communication protocols such as USB, SPI, I2C, and UART.
- Experience with radar, lidar, or visual cameras.
- GPU programming and low-level driver optimization for Nvidia GPUs.
- Knowledge of Linux kernel and device-driver programming, networking, IPC, shared memory, and synchronization.
Culture & Benefits
- Annual performance bonus, equity, and a competitive benefits package.
- Commitment to diversity, inclusion, and psychological safety.
- Equal-opportunity workplace that prohibits discrimination based on legally protected characteristics.
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