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At , we're building the fastest data flywheel for physical AI. We generate synthetic data and simulation scenarios that allow robotics and autonomous systems teams to train and test their AI in minutes instead of months. Our customers use Bifrost to land spacecraft on Mars, detect pirates across the Atlantic, and build AI systems that work reliably in the real world.
Synthetic data and simulation platform for physical AI and robotics
Backed by Carbide Ventures, Airbus Ventures, Peak XV Partners (fka Sequoia Capital), Wavemaker Partners, CapVista, Techstars, Lux Capital and others
Used by NASA, Anduril, Honda, Mitsubishi, and frontier AI labs to build AI systems that work in the real world
Work with an exceptional team to solve impactful problems
We're looking for a Software Engineer to design, build, and maintain reliable software solutions that power our platform. You'll work closely with cross-functional teams to turn requirements into scalable, high-quality code.
We're looking for teammates excited to develop technologies that push the boundaries of AI development speed and efficacy for computer vision teams.
Build exciting product features from end to end
Ship quality user interfaces for a large audience using the latest web technologies
Solve difficult product problems thoughtfully and with clarity - always putting our users first
Strategise and brainstorm new product features and direction
Design and implement end-to-end features across frontend, backend, and database layers
Develop responsive and accessible user interfaces using modern web frameworks
Build scalable backend services, APIs, and data processing pipelines
Design and maintain relational and non-relational database schemas
Collaborate with product managers and designers to translate requirements into technical solutions
Write clean, maintainable, and well-tested code following best practices
Participate in architecture discussions and technical decision making
Debug and resolve production issues across the full stack
Implement monitoring, logging, and observability for deployed systems
Contribute to CI/CD pipelines and automated deployment processes
Use modern AI coding tools effectively across the development lifecycle to improve speed, quality, and maintainability
Location: Singapore
Strong proficiency in JavaScript
Experience with modern frontend frameworks such as React, Vue, or Angular
Understanding of HTML5, CSS3, and responsive design principles
Familiarity with state management libraries such as Redux, Zustand, or MobX
Proficiency in at least one backend language such as Python, Node.js, Go, Java, or Ruby
Experience building RESTful or GraphQL APIs
Knowledge of authentication and authorization patterns such as OAuth, JWT, and SSO
Experience designing scalable backend architectures and microservices
Experience with relational databases such as PostgreSQL or MySQL
Understanding of data modeling, indexing, and query optimization
Experience deploying applications on cloud platforms such as AWS, GCP, or Azure
Familiarity with containerization technologies such as Docker
Understanding of CI/CD pipelines and automated testing
Experience with Game engines (Unity / Unreal Engine), OR Rendering APIs (OpenGL, Vulkan, DirectX), OR Simulation platforms (Blender, NVIDIA Omniverse, Isaac Sim)
Strong understanding of rendering pipelines, 3D math, scene composition, lighting, and materials
Experience with AI/ML systems in research or applied settings
Experience with Computer Vision-based products
Experience working with computer vision datasets (COCO, KITTI, etc.)
Experience integrating data pipelines into ML training workflows
Work at the frontier of AI and robotics with the most technical teams in the world
Small team - no red-tape and bureaucracy to wade through
Real ownership - take charge and see the direct impact of your work
Inclusive, judgement-free and safe space to be yourself
Enjoy a focused, dedicated working environment where we never forget how to have a bit of fun! Take the opportunity to do projects outside of your comfort zone - that's where the greatest learning happens. We love out-of-the-box thinkers and problem-solvers who relish sharing, collaboration and growth.
Job ID: 144518553