Responsibilities
- Create pipelines and tooling that transform prototypes into shippable products
- Speed up development cycles by building systems for seamless code deployment
- Manage and coordinate data flow across deployed environments
- Enhance product scalability and build advanced APIs for complex engineering workflows
- Integrate large language models or vision-language models into infrastructure
- Establish an MLOps framework tailored for training deep learning models on geometry and physics datasets
- Collaborate with early customers and design partners to shape product strategy and roadmaps
- Prioritize and deliver high-impact product features
- Develop and release essential software components for product success
- Gain deep technical and entrepreneurial knowledge through hands-on product development
Compensation
Competitive salary and equity offered based on experience
Work Arrangement
Hybrid work model with flexible remote options
Team
Small, agile engineering team focused on innovation and rapid iteration
Responsibilities
- Design and develop the pipelines and tools that make our product a product
- Accelerate our development by developing the system that enables our code to go from development to deployment
- Orchestrate how data flows throughout the deployed product
- Develop key features to improve our product including: making it more scalable, developing improving APIs to enable more complex engineering workflows
- Set up and integrate LLM or VLM infrastructure
- Set up an MLOps framework for training deep learning architectures for geometry and physics data
- Assist in the strategy, planning the product roadmap, and prioritize the development in partnership with early customers and design partners
- Build and ship critical product features
- Learn a lot while building products that engineers will love
- Learn about entrepreneurship
Visa sponsorship available for qualified candidates
