3 дня назад
Software Engineer, Sensor Platform (Autonomous Driving)
132 300 - 165 370$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Sensor Platform (Autonomous Driving) (C++/Embedded Robotics): Building hardware-agnostic sensor and compute software platforms for Level 4 autonomous vehicles with an accent on device drivers, inter-device protocols, runtime APIs, and system reliability. Focus on designing real-time embedded systems, debugging complex failure modes, optimizing driver performance, and validating robotics hardware across sensors and compute platforms.
Location: Mountain View, California, United States (HQ)
Salary: $132,300–$165,370 base pay per year, plus annual performance bonus, equity, and benefits.
Company
develops Level 4 autonomous driving technology and a universal autonomy platform for robotaxis, logistics fleets, personal vehicles, and other mobility applications.
What you will do
- Design and develop sensor and compute systems for autonomous robots.
- Architect and deploy reliable, high-performance sensor and autonomous software.
- Build and maintain device drivers, inter-device protocols, pipelines, and device runtime APIs.
- Deliver reliable software through metrics monitoring, automated testing, and collaboration with hardware vendors.
- Debug complex systems, identify root causes of failure modes, and deploy effective solutions.
- Drive cross-functional sensor and compute projects for autonomous vehicles.
Requirements
- 2+ years of industry experience in robotics or autonomous driving systems.
- Strong experience with embedded and real-time systems and proficiency in C++, including concurrency.
- Understanding of the Linux kernel and its role in driver performance.
- Bachelor’s, master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or a 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 containing 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 networking and the IP protocol stack, including PHY, TCP, UDP, and application-layer protocols.
Culture & Benefits
- Eligibility for an annual performance bonus and equity.
- Competitive benefits package.
- Commitment to diversity, inclusion, and psychological safety.
- Equal opportunity employment without discrimination based on legally protected characteristics.
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