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14 часов назад

Senior/Staff Software Engineer, Runtime (C++)

150 000 - 225 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior/Staff Software Engineer, Runtime (C++): Developing and optimizing redundant on-vehicle platforms and autonomous software stacks for autonomous trucks with an accent on fault handling, middleware integration, and performance robustness. Focus on designing validation strategies, troubleshooting high-performance IPC and runtime systems, and supporting driverless operation features.

Location: Santa Clara, California, United States; hybrid

Salary: $150,000–$225,000 per year

Company

hirify.global develops AI-based virtual driver software and autonomous technology for factory-built autonomous trucks, with operations in the United States and Europe.

What you will do

  • Improve the redundant on-vehicle platform and autonomous software stack in collaboration with autonomy and runtime teams.
  • Develop long-term software and hardware redundancy strategies and identify platform opportunities and gaps.
  • Integrate and optimize autonomous software components and partner middleware within the autonomous driving stack.
  • Design fault detection, fault handling, and validation strategies, including on-vehicle, SiL, and HiL testing.
  • Own or support driverless operation features such as mission control and tele-assistance.
  • Maintain compliance with the Quality Management System and drive quality and process improvements.

Requirements

  • At least 5 years of professional software engineering experience.
  • MS or PhD in Computer Science or a related field.
  • Strong programming skills in C++ and Python.
  • Experience with high-performance IPC or middleware stacks and performance troubleshooting, including profiling or roofline modeling.
  • Familiarity with Linux systems, kernel and network tuning, device trees, time synchronization, and on-vehicle troubleshooting.
  • Basic understanding of computer vision and deep learning models, plus familiarity with CUDA, OpenCL, OpenVX, Halide, or other SIMD programming models.

Nice to have

  • Experience with computer vision pipelines and model inference on edge platforms.
  • Experience with ROS2 and DDS.
  • Experience with automotive HPC SoCs, preferably Nvidia.
  • Experience with QNX.

Culture & Benefits

  • Work in a future-oriented and innovative autonomous vehicle technology field.
  • Opportunities for personal and professional development.
  • Catered free lunch, unlimited snacks, and beverages.
  • Competitive salary and benefits package, including a 401(k) plan.

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