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.
• Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
• Ensure team compliance with QMS, monitor quality, and drive process improvements.

Required Skills:

• BS in Computer Science, Electrical Engineering, or related field.
• Solid hands-on coding experience using 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 - $200,000 a year

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.