Member of Technical Staff
Indexed description
Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens.
We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With Series A and seed funding from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us—Eventual is just getting started.
Please note we're looking for individuals who are excited to be a part of a tight-knit team working together 4 days / week in our SF Mission district office.
Your Role:
As a Member of Technical Staff, you will be responsible for building Eventual's core products and architecture. You will ship features that will be immediately used by our customers and will work with a tight-knit team that values open communication and cross-functional collaboration. We move quickly to solve a wide range of complex technical and product challenges. While we are an experienced team that can provide constant guidance and mentorship, we value engineers who can autonomously scope and solve difficult technical challenges.
Key Responsibilities:
- Design and build highly reliable and resilient products and features.
- Work closely with cross-functional product and customer-facing teams to understand requirements and ship thoughtful solutions.
- Write high-quality, extensible, and maintainable code.
- Design and build scalable applications and components.
- Design and build APIs to drive existing and new features for a web-based BYOC enterprise product.
Areas that are highly relevant to the work that we do at Eventual, we only ask for expertise in one of these areas:
- Production ML/AI Deployment:
- Experience building and training state-of-the-art models (LLMs, VLMs, VLAs, CV models, world models). Bonus points for distributed training experience.
- Familiarity with inference optimization (batching, GPU utilization, TensorRT/ONNX Runtime, streaming data loaders) to minimize latency and maximize throughput.
- Deep experience with inference frameworks (VLLM, SGLang) or building your own
- Computer Vision & Multimodal Media:
- Experience handling unstructured or high-dimensional data (images, video streams, point clouds, audio).
- Familiarity with video/image decoding pipelines, frame extraction, or feature representation at scale.
- Computer Graphics & Spatial Computing (3D / Gaming Engines):
- Conceptual or hands-on experience with 3D graphics concepts, game engines (Unreal, Unity, Custom C++/Vulkan/WebGL engines), spatial indexes, or GPU acceleration.
- Comfort reasoning about spatial transformations, matrix operations, or rendering primitives.
- Experience working with spatial computing, augmented/virtual environments (AR/VR/AV), or 3D graphics applications
- In-person tight knit team with 4x a week in office
- Competitive comp and startup equity
- Catered lunches and dinners for SF employees
- Commuter benefit
- Team building events & poker nights
- Health, vision, and dental coverage
- Flexible PTO
- Latest Apple equipment
- 401k plan with match!
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