Senior Middleware Engineer (Linux, C++)

What you will do

We utilize a city's existing fleet and connected mobile devices to collect real-time data for traffic enforcement. Our advanced AI-driven, vision-based technology detects and analyzes traffic violations, assisting cities in achieving Vision Zero goals. Our team operates in Poland and San Francisco.

• Design and develop middleware components, platform libraries, and system services for embedded Linux platforms.
• Optimize inter-process communication, data flow, and system resource utilization to improve overall performance.
• Analyze and resolve system-level performance bottlenecks, ensuring reliability and scalability of embedded platforms.
• Collaborate with cross-functional teams (firmware, cloud, and application) to define platform interfaces, APIs, and integration points.
• Implement and maintain platform-level features such as logging, security frameworks, and configuration management.
• Debug complex system issues across the middleware, OS, and hardware layers.
• Contribute to architecture discussions and provide technical guidance for platform evolution.

Requirements

MUST

• BS or MS in Computer Science, Electrical Engineering, or a related field.
• Proficiency in C and C++ for embedded and system-level development.
• Strong experience with Linux internals (system services, IPC, device drivers, kernel/user space interactions).
• Solid understanding of embedded system architecture, SoC components, and hardware/software interaction.
• Experience with scripting languages (Bash, Python) for build, automation, and testing.
• Familiarity with common hardware interfaces (I2C, SPI, UART, USB, PCIe).

NICE TO HAVE

• Experience with Linux kernel configuration, building, and debugging.
• Knowledge of ARM-based platforms and low-level hardware bring-up.
• Exposure to middleware frameworks, IPC mechanisms (DBus, gRPC), or platform APIs.
• Experience with OTA update systems for OS, applications, and firmware.
• Understanding of multimedia pipelines, CUDA/OpenCL, or GPU acceleration.
• Familiarity with CAN/CAN-FD or other automotive/industrial protocols.
• Experience with security frameworks (secure boot, encryption, key management) in embedded systems.