Job Description
This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.
Written by AI from the job title and company, not by Oracle, so some details may not match this job. The employer's own page has the real description.
Overview
The Principal GPU / AI System Engineer at Oracle is responsible for leading the design, implementation, and optimization of advanced GPU and AI systems, ensuring high performance and reliability. This role involves collaborating with cross-functional teams to develop innovative solutions that harness the power of artificial intelligence and graphics processing. The ideal candidate will possess a deep understanding of GPU architecture, AI algorithms, and system-level design, driving key initiatives to enhance Oracle's product offerings in machine learning and data processing. The position also entails mentoring junior engineers and contributing to the strategic direction of AI integration within Oracle's core systems.
Job Responsibilities
- Lead the architecture and development of GPU-based AI solutions.
- Collaborate with software engineers to enhance AI algorithms for performance optimization.
- Conduct in-depth analysis of system performance and identify enhancement areas.
- Mentor and guide junior engineers in GPU technologies and best practices.
- Work alongside product management to define feature specifications and requirements.
- Evaluate and implement new technologies to improve product capabilities.
- Contribute to technical documentation and presentations for internal and external stakeholders.
Qualifications
- Master's degree in Computer Science, Electrical Engineering, or a related field; Ph.D. preferred.
- 10+ years of experience in GPU programming and AI system design.
- Proficiency in programming languages such as C++, Python, and CUDA.
- Strong understanding of machine learning frameworks like TensorFlow or PyTorch.
- Hands-on experience with GPU architecture and optimization techniques.
- Demonstrated ability to lead complex projects and collaborate with cross-functional teams.
- Outstanding problem-solving skills and a creative approach to system design.
Technologies & Tools
The Principal GPU / AI System Engineer will work with a variety of cutting-edge technologies and tools, including high-performance GPUs from leading manufacturers such as NVIDIA, advanced software development tools for CUDA and OpenCL, and machine learning libraries such as TensorFlow, Keras, and PyTorch. Familiarity with cloud computing platforms such as Oracle Cloud Infrastructure, as well as data processing frameworks like Apache Spark, will also be crucial for success in this role.
Ideal Candidates
Ideal candidates for the Principal GPU / AI System Engineer position are innovative thinkers who thrive in fast-paced environments and demonstrate a strong passion for AI and GPU technologies. They possess excellent leadership qualities, enabling them to mentor and inspire a team while fostering a collaborative atmosphere. Having a proactive approach to problem-solving, coupled with exceptional analytical skills, will make them effective in enhancing system performance and driving successful project outcomes. Additionally, a keen interest in staying updated with industry trends and emerging technologies will enable them to contribute meaningfully to Oracle’s strategic directions.
Your LinkedIn About section is where you say what you do and what you are looking for. Type your job and a few facts, and pick from five drafts. Write an About section →
View Similar Jobs
Similar jobs which you may be interested in. Typically using your existing skillset.