Principal Software Engineer (Onboard Infrastructure)

Location

Location: Mountain View, California (HQ)

Company

hirify.global is a physical AI company building Level 4 autonomous driving technology and a universal autonomy platform.

What you will do

• Define and drive technical direction for onboard infrastructure across Device Platform, Performance, and Onboard Systems.
• Architect core onboard systems for embedded compute, sensor integration, runtime frameworks, inter-device communication, and distributed execution.
• Lead system-level performance and reliability efforts, including latency reduction, resource efficiency, memory management, lifecycle management, observability, automated testing, and continuous validation.
• Build foundational libraries, APIs, tools, and frameworks for reliable, low-latency, high-performance autonomy software.
• Develop onboard distributed systems: high-performance communication between compute nodes, module orchestration, monitoring/logging/diagnostics, and autonomy/sensor data pipelines.
• Diagnose complex failures across software, hardware, sensors, compute, networking, and autonomy workloads; drive root cause, mitigation, and prevention.

Requirements

• Master’s degree or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field.
• 8+ years of software engineering experience building production-quality systems software.
• 5+ years of technical leadership experience, including leading complex projects and driving cross-team alignment.
• Strong proficiency in modern C++, including concurrency, multi-threading, debugging, memory management, and performance optimization.
• Experience building reliable, high-performance software for robotics, embedded systems, autonomous systems, distributed systems, or other performance-critical platforms.
• Systems-level expertise across operating systems, device interfaces, runtime frameworks, and application-level workloads.

Nice to have

• Experience with robotics hardware, sensors, embedded compute platforms, or autonomous vehicle systems.
• Deep knowledge of Linux, device drivers, computer architecture, kernel behavior, and communication protocols (Ethernet, PCIe, USB, SPI, I2C, UART).
• Experience with GPU programming, NVIDIA platforms, CUDA, image processing, machine learning infrastructure, or accelerated compute.
• Experience working with hardware suppliers and integrating next-generation sensor and compute platforms.

Culture & Benefits

• Base pay is part of a total compensation package; expected base pay range is $258,000–$387,000 (level-dependent).
• Eligible for an annual performance bonus, equity, and a competitive benefits package.
• Equal opportunity employer with a focus on inclusion and psychological safety.