Original listing text, shown exactly as published by the company.
What You'll Do
- Hands-on Integration: Get your hands dirty integrating and deploying Samba TV's ACR client libraries and software modules onto embedded Linux and Android TV based systems.
- System Porting & Bring-up: Adapt and port the ACR solution to new hardware platforms, tackling the challenges of different System on a Chip (SoC) architectures and driver interfaces.
- Low-Level Media Integration: Work deep within the audio and video frameworks on both Linux and Android to ensure our technology can reliably capture and process media streams.
- Debug and Crush Bugs: Dive deep to investigate and resolve software defects, performance bottlenecks, and complex hardware/software integration issues. You'll become proficient with debugging tools and log analysis.
- Pioneer On-Device AI: Contribute to the evolution of our platform from ACR to AI. You'll have the opportunity to explore, prototype, and implement on-device machine learning models for new, intelligent TV features.
- Analyze and Optimize: Use data and logical analysis to measure performance, identify bottlenecks, and optimize both ACR and future AI solutions for resource-constrained embedded environments.
Who You Are
We are looking for candidates who are enthusiastic about embedded systems and eager to build the future. While you may not be an expert yet, you should have a solid foundation and the right mindset:
- Bias for Action: You're a builder at heart. You are hands-on, proactive, and thrive on turning ideas into running code.
- Analytical Problem-Solver: You have a curious and analytical mindset. You use logic and data to dissect complex problems and are driven to find the root cause. You're excited not just by today's challenges, but by the future of on-device AI.
- Core Programming Skills: Proficiency in C/C++ and Java is essential. One of the languages you will be using.
- Operating System Fundamentals: A strong understanding of operating systems concepts. Experience with Linux from coursework, personal projects, or internships is highly valuable.
- Collaborative Spirit: You have excellent communication skills and a collaborative spirit. You can articulate technical concepts clearly and are open to feedback.
- Education: A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Experience in these areas is not required but will make your application stand out
- Familiarity with the Android TV or general Android (AOSP) development environment.
- An interest in or exposure to Machine Learning/AI concepts (e.g., frameworks like TensorFlow Lite, PyTorch Mobile).
- Experience with embedded development tools (e.g., cross-compilers, build systems like CMake).
- Knowledge of scripting languages like Python or shell scripting for automation and testing.
- Experience with version control systems, particularly Git.
