Deep Learning Engineer Salary at Softnautics Inc BETA

⚡ GPU/CUDA kernel optimization and HPC 💊 Foundation Models for Biology ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $200,000 - $300,000 salary + bonus + equity Come join a revolutionary stealth biotech, building the world's first interconnected Foundational Models across multiple modalities in biology. Opportunity to join as an early member in a rapidly growing division, founded by A-listers in tech & academia. Seeking Engineers/Researchers skilled in GPU/CUDA kernel optimization for deep learning. Responsibilities: Design and implement kernel optimizations to accelerate deep learning jobs Implement SOTA methods in high performance and parallel computing Research and iterate on models to ensure optimal performance Work collaboratively in a early-stage team to enhance their early GPU set-up Requirements: MS or PhD in Comp Sci, Comp Engineering, or related 3+ years experience working with CUDA and deep learning optimization in HPC environment Proficiency in leveraging high compute GP

⚡ GPU/CUDA kernel optimization and HPC 💊 Foundation Models for Biology ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $200,000 - $300,000 salary + bonus + equity Come join a revolutionary stealth biotech, building the world's first interconnected Foundational Models across multiple modalities in biology. Opportunity to join as an early member in a rapidly growing division, founded by A-listers in tech & academia. Seeking Engineers/Researchers skilled in GPU/CUDA kernel optimization for deep learning. Responsibilities: Design and implement kernel optimizations to accelerate deep learning jobs Implement SOTA methods in high performance and parallel computing Research and iterate on models to ensure optimal performance Work collaboratively in a early-stage team to enhance their early GPU set-up Requirements: MS or PhD in Comp Sci, Comp Engineering, or related 3+ years experience working with CUDA and deep learning optimization in HPC environment Proficiency in leveraging high compute GP

⚡ GPU/CUDA kernel optimization and HPC 💊 Foundation Models for Biology ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $200,000 - $300,000 salary + bonus + equity Come join a revolutionary stealth biotech, building the world's first interconnected Foundational Models across multiple modalities in biology. Opportunity to join as an early member in a rapidly growing division, founded by A-listers in tech & academia. Seeking Engineers/Researchers skilled in GPU/CUDA kernel optimization for deep learning. Responsibilities: Design and implement kernel optimizations to accelerate deep learning jobs Implement SOTA methods in high performance and parallel computing Research and iterate on models to ensure optimal performance Work collaboratively in a early-stage team to enhance their early GPU set-up Requirements: MS or PhD in Comp Sci, Comp Engineering, or related 3+ years experience working with CUDA and deep learning optimization in HPC environment Proficiency in leveraging high compute GP

⚡ GPU/CUDA kernel optimization and HPC 💊 Foundation Models for Biology ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $200,000 - $300,000 salary + bonus + equity Come join a revolutionary stealth biotech, building the world's first interconnected Foundational Models across multiple modalities in biology. Opportunity to join as an early member in a rapidly growing division, founded by A-listers in tech & academia. Seeking Engineers/Researchers skilled in GPU/CUDA kernel optimization for deep learning. Responsibilities: Design and implement kernel optimizations to accelerate deep learning jobs Implement SOTA methods in high performance and parallel computing Research and iterate on models to ensure optimal performance Work collaboratively in a early-stage team to enhance their early GPU set-up Requirements: MS or PhD in Comp Sci, Comp Engineering, or related 3+ years experience working with CUDA and deep learning optimization in HPC environment Proficiency in leveraging high compute GP

⚡ GPU/CUDA kernel optimization and HPC 💊 Foundation Models for Biology ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $200,000 - $300,000 salary + bonus + equity Come join a revolutionary stealth biotech, building the world's first interconnected Foundational Models across multiple modalities in biology. Opportunity to join as an early member in a rapidly growing division, founded by A-listers in tech & academia. Seeking Engineers/Researchers skilled in GPU/CUDA kernel optimization for deep learning. Responsibilities: Design and implement kernel optimizations to accelerate deep learning jobs Implement SOTA methods in high performance and parallel computing Research and iterate on models to ensure optimal performance Work collaboratively in a early-stage team to enhance their early GPU set-up Requirements: MS or PhD in Comp Sci, Comp Engineering, or related 3+ years experience working with CUDA and deep learning optimization in HPC environment Proficiency in leveraging high compute GP

⚡ GPU/CUDA kernel optimization and HPC 💊 Foundation Models for Biology ($100M+ Seed) 🌎 San Francisco Bay Area, USA 💸 $200,000 - $300,000 salary + bonus + equity Come join a revolutionary stealth biotech, building the world's first interconnected Foundational Models across multiple modalities in biology. Opportunity to join as an early member in a rapidly growing division, founded by A-listers in tech & academia. Seeking Engineers/Researchers skilled in GPU/CUDA kernel optimization for deep learning. Responsibilities: Design and implement kernel optimizations to accelerate deep learning jobs Implement SOTA methods in high performance and parallel computing Research and iterate on models to ensure optimal performance Work collaboratively in a early-stage team to enhance their early GPU set-up Requirements: MS or PhD in Comp Sci, Comp Engineering, or related 3+ years experience working with CUDA and deep learning optimization in HPC environment Proficiency in leveraging high compute GP

Position: Senior Deep Learning Engineer and Team Leader imagry.E4.E30@comeetapply.com Location: San Jose, Ca On—Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team, with the abilities and skills to lead a small team. The engineer will work on devising, developing, and integrating novel deep vision-based Perception algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles. Position reporting to the Perception Team Leader in San Jose. Responsibilities: Cooperate with SJ site Deep Learning Engineers, Safety Drivers & test engineers. Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment. Supervise complex data pipelines, from the collection stage, through annotation, t

About us Our mission at Deep Tempo is to return the initiative to defenders. Our vision is of Collective Defense for Cybersecurity - via deep learning. We believe we are playing a small role in defending our way of life from ever more innovative and organized attackers. Role Description This is a full-time role for a Deep Learning Engineer. The role requires a strong command of machine learning algorithms, especially deep learning, and the ability to apply them to real-world business problems. We build models from the ground up, so a thorough understanding of transformer-based models and similar approaches is critical. Expertise in training and inference utilizing multi-GPU clusters is required. Experience in building transformer models for natural language processing is strongly preferred. Our approach harnesses the collective for defense; subjects like transfer learning, the ability of our models to generalize, federated learning, and differential privacy are all day-to-day concerns