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Software Engineer, C++ Runtime Platform

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You will develop and optimize the core infrastructure that facilitates reliable, low-latency execution of on-vehicle robotics software. Your mission extends beyond building a rock-solid foundation for autonomous driving — you will also equip engineers with the tools needed to analyze system behavior, identify performance bottlenecks, and enhance robustness.

In this role, you will contribute to existing frameworks, libraries, and tools while also designing and implementing new components across various mission-critical domains.

Responsibilities:

Design and optimize low-latency interprocess communication and data flow monitoring.
Develop high-performance event logging and structured telemetry.
Implement safety-enhanced memory allocators and efficient memory provisioning policies.
Build lock-free data structures and algorithms to support real-time system requirements.
Work on network communication and coherency protocols.
Develop on-the-fly component health monitoring and rapid response mechanisms for critical events.
Manage on-vehicle configurations and system state validation.
Optimize low-level OS interactions and fine-tune system performance.

Required Skills:

BS in Computer Science, Electrical Engineering, or related field.
Proficiency in C++14 or later.
Strong understanding of Linux development tools, including build systems, compilers, debuggers, and performance analyzers.
Excellent written and verbal communication skills.
Proactive problem-solving mindset: ability to identify, propose, and implement solutions.

Preferred Skills:

Experience in writing, debugging, and profiling multithreaded C++ applications.
Familiarity with robotics-related libraries such as ROS.
Knowledge of real-time OS, database internals, network programming, GPGPU, or robotics.

Salary Range:

$120,000 - $170,000 a year

Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.

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$170000K

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What You Should Know About Software Engineer, C++ Runtime Platform, PlusAI

Join an innovative team as a Software Engineer at our cutting-edge C++ Runtime Platform in Santa Clara, CA! In this role, you will play a pivotal part in developing and optimizing the core infrastructure that powers reliable, low-latency execution of on-vehicle robotics software. Get ready to dive deep into the world of autonomous driving and contribute to creating a rock-solid foundation for future technology. Your mission will extend beyond mere coding; you'll empower engineers with the tools they need to analyze system behavior and pinpoint performance bottlenecks, enhancing overall robustness. You'll work with existing frameworks, libraries, and tools while also designing new components across various critical domains. Your responsibilities will include optimizing low-latency interprocess communication and developing high-performance event logging systems. Your expertise will shine as you implement safety-enhanced memory allocators and build lock-free data structures that cater to real-time system requirements. Plus, you will work on network communication protocols and develop efficient health-monitoring mechanisms for on-the-fly critical event responses. If you hold a BS in Computer Science or a closely related field, have a solid grip on C++14 or later, and possess a proactive problem-solving mindset, this position is perfect for you. With a competitive salary range of $120,000 to $170,000 a year, our compensation structure reflects the value of your skills and experience. If you are ready to push the boundaries of robotics and shape the future of autonomous driving, we can’t wait to meet you!

Frequently Asked Questions (FAQs) for Software Engineer, C++ Runtime Platform Role at PlusAI

What are the key responsibilities of a Software Engineer at the C++ Runtime Platform?

As a Software Engineer at the C++ Runtime Platform, your main responsibilities include developing and optimizing low-latency interprocess communication frameworks and high-performance event logging systems. You will also implement advanced memory management techniques, build lock-free data structures, and work with network communication protocols to ensure robust real-time performance for autonomous driving applications.