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Systems Software Engineer
2 months ago
Position: Systems Software Engineer - AI Solutions and Hardware Optimization
Location: Houston, TX (3 Days/Week – Hybrid)
Duration: 12 months+ Contract
USC/GC/H4EAD/L2EAD/TN Permit/ Refugee/Asylee who are willing to work on W2 can apply for this job
Required Skills:
C++ or C# development, Python, HALs, Rapid Prototyping, Windows API, system calls, and performance tools
Description:
We are seeking a highly skilled Systems Software Engineer to join our team in developing cutting-edge AI solutions. In this role, you will play a crucial role in enabling high-performance AI capabilities across diverse hardware configurations. Your work will focus on developing the foundational software infrastructure that bridges the gap between AI models and hardware, optimizing resource utilization, and ensuring seamless integration with various systems. This role offers the opportunity to contribute to innovative AI projects and work with cutting-edge technologies.
Responsibilities:
- Design and implement robust hardware abstraction layers (HALs) to interface with various hardware accelerators (CPUs, GPUs, NPUs) and optimize AI model execution across diverse hardware configurations.
- Develop and implement system-level optimizations to maximize AI performance and efficiency, including resource allocation, task scheduling, and memory management.
- Create tools and frameworks to monitor and analyze workload performance in real-time, identifying bottlenecks and opportunities for improvement.
- Work closely with AI engineers, software developers, and hardware vendors to ensure seamless integration and optimal performance of AI models across various commercial products.
- Participate in the development and testing of AI optimization prototypes, gathering data and feedback to refine solutions and demonstrate their value.
Additional Skills & Qualifications:
- Strong experience in designing and implementing hardware abstraction layers (HALs).
- Expertise in system-level optimizations, including resource allocation, task scheduling, and memory management.
- Proficiency in developing tools and frameworks for real-time workload performance monitoring and analysis.
- Ability to collaborate effectively with AI engineers, software developers, and hardware vendors.
- Experience in developing and testing AI optimization prototypes and refining solutions based on feedback.
- This position offers an exciting opportunity to work on innovative AI projects and engage with cutting-edge technologies. If you are passionate about AI and possess the skills and qualifications listed above, we encourage you to apply.