3 дня назад
Senior Software Engineer, Devices Platform (Robotics)
160 360 - 240 540$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Devices Platform (Robotics) (C++/Embedded Systems): Building the hardware-agnostic software foundation for sensors and compute platforms in autonomous vehicles with an accent on device drivers, inter-device protocols, runtime APIs, and reliability. Focus on designing real-time systems, debugging complex failure modes, optimizing Linux kernel and low-level drivers, and integrating next-generation robotics hardware.
Location: Mountain View, California, United States
Salary: $160,360–$240,540 base pay annually, plus performance bonus, equity, and benefits.
Company
develops Level 4 autonomous driving technology and a universal autonomy platform for robotics, logistics, robotaxis, and other vehicles.
What you will do
- Design and develop sensor and compute systems for autonomous robotics.
- Architect and deploy reliable, high-performance sensor and autonomous software.
- Build metrics monitoring and automated testing, and collaborate with hardware vendors.
- Debug complex systems, identify root causes, and deploy effective solutions.
- Lead cross-functional sensor and compute projects for autonomous vehicles.
- Mentor software engineers and support their technical development.
Requirements
- 6+ years of experience with a bachelor's or master's degree in Computer Science, Electrical Engineering, or a related field, or 4+ years with a Ph.D.
- Professional experience in robotics or autonomous driving systems.
- Strong C++ proficiency, including concurrency and complex real-time systems.
- System software development experience from device-driver to application level, with Linux kernel correctness and performance optimization expertise.
- Clear communication and effective collaboration with engineers, product managers, and other stakeholders.
Nice to have
- Experience with robotics hardware, sensors, embedded platforms, CPUs, GPUs, ISPs, and accelerators.
- Experience with USB, SPI, I2C, UART, radar, lidar, visual or thermal imaging cameras.
- Experience with machine learning, image processing, GPU programming, or Nvidia GPU driver optimization.
- Knowledge of Linux kernel and device-driver programming, threading, IPC, shared memory, synchronization, and networking protocols.
Culture & Benefits
- Competitive benefits package.
- Annual performance bonus and equity eligibility.
- Inclusive workplace focused on diversity and psychological safety.
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