AI Developer Technology Engineer

Requirements:

• An advanced degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
• 8+ years of relevant experience in software development or research work.
• Programming fluency in C/C++ with a deep understanding of algorithms and software development.
• Background in parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.
• Hands-on experience with low-level performance optimizations.
• In-depth expertise with CPU and GPU architecture fundamentals.
• Effective communication and organization skills with problem-solving, time management, and prioritization skills.

Nice to Haves:

• Expertise in parallelization and performance optimization of Deep Learning models.
• Excellent understanding of linear algebra.

What You'll Be Doing:

• Researching and developing techniques to GPU accelerate workloads in deep learning, machine learning, or other AI domains.
• Collaborating with technical experts to optimize complex AI and HPC algorithms on modern CPU and GPU architectures.
• Sharing optimization techniques through blogs or conferences to engage and educate the developer community.
• Influencing next-generation hardware architectures and software in collaboration with NVIDIA teams.

Perks and Benefits:

• Opportunity to work at the forefront of technology breakthroughs.
• Joining a team of forward-thinking and hardworking individuals.
• Contributing to a real-time, cost-effective computing platform.
• Diverse work environment and commitment to equal opportunity employment.