3 gpu optimization opportunities in San Francisco updated today
job offers found
KADENCEKadence Talent is partnered with an AI x Quantum start-up, looking for a GPU Optimization/ML Infrastructure Engineer to make it easy for researchers to run compute-heavy workloads at scale. Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.
kadenceKadence Talent is partnered with an AI x Quantum start-up, looking for a GPU Optimization/ML Infrastructure Engineer to make it easy for researchers to run compute-heavy workloads at scale. You'll sit between ML and infrastructure, helping scientists move from local experiments to scalable GPU-backe
Job Description GPU Optimisation Engineer - Real-Time Inference Want to push GPU performance to its limits - not in theory, but in production systems handling real-time speech and multimodal workloads? This team is building low-latency AI systems where milliseconds actually matter. The target isn't
About the Role A1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time. You will be responsible for turning research direction into working, production-grade ML systems. This role owns the execution layer of A1’s intellige
Position Overview As part of our ongoing efforts to improve the performance of our desktop software, we are moving key computational workloads to the GPU to significantly reduce latency. Our Senior Software Engineer, GPU will lead the introduction of GPGPU computing into our software stack, includin
### **Minimum qualifications:** 15 years of experience in computer software engineering. 5 years of experience working with modern GPU architectures (e.g., NVIDIA, AMD, etc.), memory hierarchies, and performance bottlenecks. ### **Preferred qualifications:** Experience with low-level GPU programming
About the Role A1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time. As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, produ
Senior Software Engineer, GPU As part of our ongoing efforts to improve the performance of our desktop software, we are moving key computational workloads to the GPU to significantly reduce latency. Our Senior Software Engineer, GPU will lead the introduction of GPGPU computing into our software sta
A growing technology startup in California seeks a Senior HPC Developer to tackle cutting-edge GPU and networking challenges. The role involves optimizing multi-node, multi-GPU systems and debugging performance issues across various layers. Ideal candidates will have over 5 years of performance-crit
Roblox CorporationA leading online gaming platform is seeking a Senior Hardware Engineer to drive GPU and AI infrastructure projects. You will be responsible for prototyping GPU hardware, performance optimization, and vendor collaboration. The ideal candidate will have over 5 years of related experience and a degree
Luma AIA cutting-edge AI company located in California is seeking a Lead Infrastructure and Reliability Engineer. This role involves architecting large GPU environments and enhancing system reliability, crucial for AI infrastructure. The ideal candidate has strong expertise in Linux, real-world experience
MetaWe are seeking a Product Quality Engineer to join our product quality engineering team, focusing on CPU / GPU server platforms. In this role, you will be responsible for ensuring the quality and reliability of CPU / GPU server products from development through mass production. You will collaborate c
$40,000 – $63,000/year
Estimation confidence: Low
Estimate based on market data for San Francisco. Actual salaries may vary depending on experience, company, and area.
View full salary data →Search for gpu optimization jobs in other cities in United States
Explore other job opportunities in San Francisco