Singapore, Singapore · On-site
Senior Platform Engineer Bifrost is building technology that gives AI the fastest path to understanding the physical world. We work at the frontier of AI and robotics - our customers use our products to land spacecraft, …
Skills: AWS, Kubernetes, Python, React, Typescript
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Lead the design and delivery of the simulation platform's infrastructure while translating product requirements into scalable technical solutions. Act as a technical bridge between founders, product teams, and end users to raise the team's technical standards.
Requires a Singapore-based engineer with strong experience in AWS, Kubernetes, and modern fullstack web development. Candidates should be comfortable using AI for development and possess strong opinions on product strategy.
Bifrost is building technology that gives AI the fastest path to understanding the physical world. We work at the frontier of AI and robotics - our customers use our products to land spacecraft, detect threats across oceans, and train autonomous systems in minutes instead of months.
We are looking for a Senior Platform Engineer to drive the design and delivery of scalable, high-quality software systems. You will guide engineering and infrastructure decisions, and work closely with product teams to turn complex requirements into reliable solutions.
Lead design and delivery of our simulation platform’s infrastructure
Act as the bridge between Founders, product, engineering, sales, and end users. Translate product requirements into scalable technical solutions
Write and review code, moving comfortably across the full stack. Here is what we use:
Web: React, with Typescript
Backend: Python, Postgres, Temporal
Engine: Unreal Engine
Infra: AWS (with Terraform), Kubernetes (with Helm and ArgoCD)
Raise the team’s technical bar
You are based in Singapore
You have development, architecture, and administration experience with AWS and Kubernetes
You have solid fundamentals in modern fullstack web development and SaaS architecture patterns
You are comfortable with using AI to accelerate your research and development
You have strong opinions on product strategy and design
Highlight to us if you have any experience with
Game engines: Unity, Unreal Engine
Rendering APIs: OpenGL, Vulkan, DirectX
Simulation platforms: Blender, NVIDIA Omniverse, Isaac Sim
Rendering pipelines, 3D math, scene composition, lighting, and materials
AI/ML systems in research or applied settings
Computer Vision-based products
Computer vision datasets (COCO, KITTI, etc.)
Integrating data pipelines into ML training workflows
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.
Synthetic data for computer vision & robotics. Simulate worlds & get rare AI training & testing datasets in a day.
Synthetic data for AI, computer vision, robotics, and perception teams. Even with massive sensor fleets, capturing the rare edge cases needed for training and testing remains a challenge. Instead of relying on biased, noisy, and incomplete real-world data, fast-moving teams use Bifrost to generate high-quality, diverse synthetic data on demand. This enables physical AI systems to handle more scenarios, recognize more objects, operate in more conditions, and scale to new use cases, faster than ever.
Offices: San Francisco, US · Singapore, Singapore, SG
Synthetic data for computer vision & robotics. Simulate worlds & get rare AI training & testing datasets in a day.
Synthetic data for AI, computer vision, robotics, and perception teams. Even with massive sensor fleets, capturing the rare edge cases needed for training and testing remains a challenge. Instead of relying on biased, noisy, and incomplete real-world data, fast-moving teams use Bifrost to generate high-quality, diverse synthetic data on demand. This enables physical AI systems to handle more scenarios, recognize more objects, operate in more conditions, and scale to new use cases, faster than ever.
Offices: San Francisco, US · Singapore, Singapore, SG
