About the Role
About the Role
As a Senior Software Engineer, you will bridge the gap between cutting-edge AI models and low-level execution by building, optimizing, and deploying high-performance software systems. You will work closely with AI researchers to translate complex algorithms into production-ready software for edge hardware and sensor integration.
Responsibilities
Your core responsibilities will include:
- Low-Level System Development: Architect, write, and maintain ultra-efficient C/C++ code for embedded systems, edge hardware, and sensor-integration platforms.
- AI Model Deployment: Deploy and optimize deep learning models on specialized edge accelerators (GPUs/NPUs) using frameworks like TensorRT, ONNX Runtime, CUDA, or OpenVINO.
- Resource Optimization: Manage explicit memory allocation, minimize latency, and optimize system power efficiency for deterministic execution.
- Hardware & Sensor Integration: Interface low-level software with camera feeds, sensor data, and hardware protocols (e.g., PCIe, Ethernet, CAN bus, UART, SPI).
- Profiling & Debugging: Perform low-level profiling, memory leak detection, and performance benchmarking using tools like Valgrind, GDB, and perf.
Qualifications
To excel in this position, you should bring a strong foundation in system-level programming along with hands-on experience in edge AI acceleration.
We are looking for:
- Core Expertise: Deep proficiency in C and C++ or other low level languages (Rust).
- Hardware & Memory Management: Mastery of explicit memory management, custom allocators, concurrency/multithreading, and hardware abstraction.
- Edge AI Acceleration: Hands-on experience with AI optimization frameworks such as TensorRT, CUDA, ONNX Runtime, TFLite, or OpenVINO.
- OS Fundamentals: Solid experience with Embedded Linux, POSIX system calls, RTOS (e.g., FreeRTOS, Zephyr), or bare-metal environments.
- Education: Bachelor’s or Master’s degree in Electrical & Computer Engineering, Computer Science, or a related field.
Experience
5+ years of experience in low level programming.
Benefits
You will join a collaborative and high-impact environment where your code directly powers physical, real-world technologies. In return, you will receive:
- A competitive compensation package and continuous opportunities for professional development.
- The chance to work on state-of-the-art Frontier AI systems with real-world physical impact.
- An innovative, forward-thinking tech culture alongside top-tier AI researchers and systems engineers.
Requirements
C/C++ Proficiency
Deep proficiency in C and C++ or other low level languages (Rust) is essential.
Memory Management
Mastery of explicit memory management, custom allocators, and concurrency/multithreading is required.
AI Optimization Frameworks
Hands-on experience with AI optimization frameworks such as TensorRT, CUDA, ONNX Runtime, TFLite, or OpenVINO is necessary.
Embedded Systems Knowledge
Solid experience with Embedded Linux, POSIX system calls, and RTOS is important.
Nice to Have
A degree in Electrical & Computer Engineering, Computer Science, or a related field is preferred.
Experience with tools like Valgrind, GDB, and perf for profiling and debugging is a plus.
Benefits
Competitive Compensation
You will receive a competitive compensation package.
Professional Development
Continuous opportunities for professional development are provided.
Innovative Tech Culture
Work in an innovative, forward-thinking tech culture alongside top-tier AI researchers.