Deep Render is a Deep Tech startup founded to liberate the world of all bandwidth constraints by pioneering AI-Compression technology. Our compression codecs are based on a fundamental technology shift, representing over 100 years of progress in the industry.

We're leading the way in AI-Compression, having the world's first AI-Codec running in real-time on mobile devices. Our team comes with 50+ years of combined research experience with over 80+ filed patents.

Last year, Deep Render raised its Series A funding round from top-tier investors and is looking to grow its current 35-person team in 2024. We're in commercial engagements with some of the largest Big Tech companies in the world and expect hundreds of millions of people to be using the Deep Render AI Codec very soon.

Role:

Seeking a Senior ML Performance Engineer to lead our expert team in advancing compression technology through AI. The senior engineer will oversee our codec's adaptation from GPU systems to mobile and mid-range platforms. The position requires in-depth knowledge of optimization for neural networks, high-performance entropy coding algorithms, and guiding research to deployment.

Responsibilities:

• Mentor a team in adapting ML research algorithms to edge devices, focusing on smartphones.
• Oversee performance analysis and optimization of algorithms.
• Guide the team in implementing entropy coding algorithms across hardware architectures.
• Employ cutting-edge techniques in neural network optimization.
• Collaborate seamlessly with teams to ensure the smooth execution of implementation projects.
  
  

Must have:

• Advanced degree in computer science, engineering, or a related field.
• Proficiency in C++ and optimization techniques.
• Minimum 5 years of experience in performance optimization, with leadership experience.