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3 дня назад

Software Engineer, Sensor Platform (Autonomous Driving)

132 300 - 165 370$
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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