The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance tools.
About Luma AI
About the Role
Responsibilities
Experience
Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
The Performance Optimization team at Luma is dedicated to maximizing the efficiency and performance of our AI models. Working closely with both research and engineering teams, this group ensures that our cutting-edge multimodal models can be trained efficiently and deployed at scale while maintaining the highest quality standards.
- Profile and optimize GPU/CPU/Accelerator code for maximum utilization and minimal latency
- Write high-performance PyTorch, Triton, CUDA, deferring to custom PyTorch operations if necessary
- Develop fused kernels and leverage tensor cores and modern hardware features for optimal hardware utilization on different hardware platforms
- Optimize model architectures and implementations for distributed multi-node production deployment
- Build performance monitoring and analysis tools and automation
- Research and implement cutting-edge optimization techniques for transformer model
- Expert-level proficiency in Triton/CUDA programming and GPU optimization
- Strong PyTorch skills
- Experience with PyTorch kernel development and custom operations
- Proficiency with profiling tools (NVIDIA Nsight, torch profiler, custom tooling)
- Deep understanding of transformer architectures and attention mechanisms
- (Preferred) Experience with compilers/exporters such as torch.compile, TensorRT, ONNX, XLA
- (Preferred) Experience optimizing inference workloads for latency and throughput
- (Preferred) Experience with Triton compiler and kernel fusion techniques
- (Preferred) Knowledge of warp-level intrinsics and advanced CUDA optimization
Your applications are reviewed by real people.
CompensationThe base pay range for this role is $187,500 – $395,000 per year.
About LumaLuma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world.
We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.
Similar Jobs
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
As a Senior Growth Marketing Analyst, you'll analyze and report on growth marketing channels, identify performance trends, collaborate on marketing strategy, automate reporting, and enhance measurement methodologies.
Top Skills:
AppsflyerAutomation ToolsChatgptLookerModeSnowflakeSQLTableau
Cloud • Information Technology • Security • Software • Cybersecurity
The Senior Sales Engineer will technical advocate for customers, design solutions, lead product evaluations, and drive technical sales processes in the public sector.
Top Skills:
CybersecurityDnsFirewallsNetworkingTcp/IpVpns
Cloud • Security • Software • Cybersecurity • Automation
As Principal Product Manager, you'll define product strategy for GitLab's AI models, focusing on custom and self-hosted AI capabilities, collaborating with engineering, and ensuring alignment with company strategy.
Top Skills:
AIDevsecopsInfrastructure
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
