3 дня назад
Senior Software Engineer, Sensor Platform (Robotics)
160 360 - 240 540$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Sensor Platform (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, reliability, and performance. Focus on designing real-time C++ systems, debugging complex failure modes, optimizing Linux kernel and device-driver performance, and enabling continuous testing and validation.
Location: Mountain View, California, United States (HQ)
Salary: $160,360–$240,540 base pay annually, plus annual performance bonus, equity, and benefits.
Company
develops Level 4 autonomous driving technology and a universal autonomy platform for vehicles used in robotaxi, logistics, and personal mobility applications.
What you will do
- Design and develop sensor and compute systems for autonomous robotics.
- Architect and deploy sensor and autonomous software with high reliability and performance.
- 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.
- Lead cross-functional sensor and compute projects for autonomous vehicles.
- Mentor software engineers and support their 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.
- Experience in robotics or autonomous driving systems.
- Strong C++ proficiency, especially in concurrency, and experience developing system software from device-driver to application level.
- Deep understanding of Linux kernel-level algorithmic correctness and performance optimization.
- Ability to investigate complex real-time systems and communicate clearly with engineers, product managers, and other stakeholders.
- Effective cross-functional collaboration skills.
Nice to have
- Experience with robotics hardware, embedded platforms, and systems containing CPUs, GPUs, ISPs, and accelerators.
- Experience with USB, SPI, I2C, UART, and other device communication protocols.
- Experience with radar, lidar, visual, or thermal imaging cameras.
- Experience with machine learning, image processing, GPU programming, or Nvidia GPU driver optimization.
- Knowledge of Linux device-driver programming, threading, IPC, shared memory, synchronization, and networking protocols.
Culture & Benefits
- Work on high-impact, high-visibility software for autonomous vehicles.
- Collaborate with internal stakeholders and external suppliers on next-generation hardware platforms.
- Build tooling for continuous testing and validation.
- Receive performance bonus eligibility, equity, and a competitive benefits package.
- Work in an inclusive environment focused on diversity and psychological safety.
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