Description
Software Engineer, Inference
Location: SF Bay Area, CA, London, UK
Department: Systems Research & Engineering
Location Type: HYBRID
Employment Type: FULL_TIME
About Luma AI
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.
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. 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 affect change. We know we are not going to reach our goal with reliable & scalable infrastructure, which is going to become the differentiating factor between success and failure.
Role & Responsibilities
- Ship new model architectures by integrating them into our inference engine
- Collaborate closely across research, engineering and infrastructure to streamline and optimize model efficiency and deployments
- Build internal tooling to measure, profile, and track the lifetime of inference jobs and workflows
- Automate, test and maintain our inference services to ensure maximum uptime and reliability
- Optimize deployment workflows to scale across thousands of machines
- Manage and optimize our inference workloads across different clusters & hardware providers
- Build sophisticated scheduling systems to optimally leverage our expensive GPU resources while meeting internal SLOs
- Build and maintain CI/CD pipelines for processing/optimizing model checkpoints, platform components, and SDKs for internal teams to integrate into our products/internal tooling
Background
- Strong Python and system architecture skills
- Experience with model deployment using PyTorch, Huggingface, vLLM, SGLang, tensorRT-LLM, or similar
- Experience with queues, scheduling, traffic-control, fleet management at scale
- Experience with Linux, Docker, and Kubernetes
- Bonus points:
- Experience with modern networking stacks, including RDMA (RoCE, Infiniband, NVLink)
- Experience with high performance large scale ML systems (>100 GPUs)
- Experience with FFmpeg and multimedia processing
Example Projects
- Create a resilient artifact store that manages all checkpoints across multiple versions of multiple models
- Enable hotswapping of models for our GPU workers based on live traffic patterns
- Build a robust queueing system for our jobs that take into account cluster availability and user priority
- Architect a e2e model serving deployment pipeline for a custom vendor
- Integrate our inference stack into an online reinforcement learning pipeline
- Regression & precision testing across different hardware platforms
- Building a full tracing system to trace the end-to-end lifetime of any inference workload
Tech stack
Must have
- Python
- Redis
- S3-compatible Storage
- Model serving (one of: PyTorch, vLLM, SGLang, Huggingface)
- Understanding of large-scale orchestration, deployment, scheduling (via Kubernetes or similar)
Nice to have
- CUDA
- FFmpeg
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say