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Embedded Software Development Expert
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At the forefront of innovation, we are seeking a talented Embedded Software Engineer to join our esteemed team. As a key member, you will have the opportunity to work at the intersection of AI/ML and embedded systems, shaping the future of real-time satellite intelligence.
Our team is passionate about pushing the boundaries of what is possible with edge AI in space. We believe that by combining cutting-edge technologies with a passion for innovation, we can create solutions that make a significant impact on the world.
This role offers an exciting opportunity to work with modern embedded platforms, including NVIDIA, Xilinx, and ARM, in one of the most thrilling application areas: space-based AI/ML. You will collaborate with a team of ambitious engineers, scientists, and product leaders building breakthrough technology, enjoy the flexibility of a remote-first culture, and make a global impact.
As a seasoned Embedded Software Engineer, you will be responsible for designing, implementing, and optimizing embedded software solutions for AI/ML workloads on NVIDIA, Xilinx, and Microchip platforms. You will work under the Head of Engineering and the CTO, contributing not just to managing development kits and system integration but also to actively developing the embedded software stack that powers our edge intelligence solutions in space.
- Configure and manage Linux environments (Ubuntu and custom distributions), including kernel modules, system tuning, cross-compilation, and deployment scripts.
- Integrate ML models into embedded systems; collaborate with Data Science teams to enable deployment on resource-constrained hardware.
- Work with C, C++, and Python to build and optimize drivers, OS-level services, and low-level libraries for ML acceleration.
- Develop, test, and optimize Dockerized applications for AI/ML workloads, ensuring portability, efficiency, and compliance with partner satellite company requirements.
- Manage and maintain Edge AI development kits (NVIDIA Jetson, Xilinx platforms, etc.), ensuring smooth workflows for in-orbit simulation and testing.
- Leverage CUDA, cuDNN, TensorRT (NVIDIA) and Vitis AI / OpenCL (Xilinx) to accelerate workloads.
- Interface with satellite payload hardware and ground systems; debug integration issues across hardware, OS, and application layers.
- Develop pipelines for automated testing and deployment of embedded software builds.
- Maintain clear documentation of configurations, workflows, and deployment practices; support partner satellite companies in deploying our dockerized products.
To succeed in this role, you will need to possess the following skills and qualifications:
- Bachelor's/Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent.
- 3–8 years of hands-on experience in embedded software development.
- Proficiency in C, C++, and Python.
- Deep knowledge of Linux (system internals, drivers, kernel tuning).
- Proven experience with Docker and containerized workflows.
- Experience with NVIDIA Jetson, CUDA, TensorRT, and Xilinx Vitis AI / OpenCL.
- Familiarity with edge AI/ML workloads, model deployment, and performance optimization.
- Strong debugging, problem-solving, and communication skills.
We offer a range of benefits to our employees, including:
- A competitive salary and comprehensive benefits package.
- Opportunities for career growth and professional development.
- A dynamic and supportive work environment.
- Flexible working arrangements, including remote work options.
We are committed to creating a diverse and inclusive workplace. We welcome applicants from all backgrounds and are proud to be an equal opportunities employer.
Individuals seeking employment at Little Place Labs are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.