---
title: 'Member of Technical Staff at Bifrost AI'
canonical: 'https://feeny.ai/job/member-of-technical-staff-bifrost-ai-singapore-hab4sbzxz4dy'
type: 'job'
last_seen: '2026-09-12'
---

# Member of Technical Staff at Bifrost AI

- **Company:** Bifrost AI
- **Location:** Singapore
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-05
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/bifrost/f71f34ab-9cf3-4672-b947-d8c33e344661/application

**Skills:** Python, TypeScript, JavaScript, Go, C++, AWS, Kubernetes, Docker, PostgreSQL, MySQL, CI/CD, Cloud Infrastructure, System Design, API Architecture, Relational Databases, Autonomous systems, Robotics, Simulation, Physical AI, Unreal Engine

> Design and build production systems for Bifrost's simulation and synthetic data platform, owning infrastructure, backend services, and frontend tooling. The role involves making architectural decisions, shipping cloud-native applications on AWS, and collaborating with stakeholders to deliver high-quality AI-enabled...

## Job description

We're looking for a Member of Technical Staff to design and build the systems that power Bifrost's simulation and synthetic data platform. You'll own significant parts of the stack, from infrastructure and backend services to frontend and developer-facing tooling. This isn't a role where you'll be handed a spec. You'll be expected to identify what needs building, make architectural decisions, and ship production systems that serve some of the most demanding technical teams in the world.

🌍 Your Main Quest Build technology that gives AI the fastest path to understanding the physical world. Our customers use Bifrost to land spacecraft, detect threats across oceans, and train autonomous systems in minutes instead of months. You'll be the kind of engineer who makes that possible.

- Own and ship entire systems end-to-end, from problem definition to production
- Make architecture and design decisions that shape the platform's direction
- Move comfortably between infrastructure, backend, and frontend work depending on what's needed
- Work directly with internal stakeholders to understand requirements and translate them into technical solutions
- Raise the engineering bar through code quality, tooling improvements, and mentorship

📜 Core Responsibilities

- Design and build production systems across the full stack: infrastructure, backend services, APIs, and user-facing applications
- Architect and maintain cloud infrastructure on AWS (Kubernetes, containerized workloads, GPU compute, auto-scaling)
- Build and improve CI/CD pipelines, deployment workflows, and developer tooling
- Develop backend services and data pipelines (Python, TypeScript/Node.js, Go)
- Design and maintain relational database schemas
- Build responsive frontends and developer-facing interfaces when the work calls for it
- Debug and resolve production issues across distributed systems
- Implement observability, monitoring, and reliability practices
- Use modern AI coding tools effectively to ship faster without sacrificing quality
- Location: Singapore

🛠️ What We're Looking For

- 5+ years of professional software engineering experience
- Strong generalist mindset — you've worked across infrastructure, backend, and frontend, and you're comfortable picking up whatever's needed
- Deep experience with at least two of: Python, TypeScript/JavaScript, Go, C++
- Solid understanding of cloud infrastructure (AWS preferred), containerization (Docker, Kubernetes), and deployment at scale
- Strong fundamentals in system design, data modeling, and API architecture
- Experience with relational databases such as PostgreSQL or MySQL
- Evidence of high ownership — you've shipped and maintained systems, not just contributed features
- Clear, direct communication — you write well and explain technical decisions simply

✨ You'll Stand Out If You Have

- Experience in autonomous systems, robotics, simulation, or physical AI
- Background at a company building self-driving vehicles, drones, defense systems, or robotics platforms
- Experience with game engines (Unreal Engine, Unity), rendering pipelines, or 3D tooling
- Exposure to computer vision, synthetic data pipelines, or ML/AI training workflows
- Experience with GPU compute workloads and real-time rendering infrastructure
- Background at a high-caliber engineering organization (top tech companies, well-regarded startups, or research labs)

Why Bifrost?

- Work at the frontier of AI and robotics with the most technical teams in the world
- Small team, no red tape. Your work ships to production and directly impacts customers like NASA, Anduril, Honda, and ST Engineering
- Real ownership — take charge and see the direct impact of your work
- Inclusive, judgement-free and safe space to be yourself

🏄‍♀️ What It's Like Working With Us 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.

## About Bifrost AI

## Company Overview
- **One-liner**: Bifrost AI provides simulation infrastructure and synthetic data generation to help teams train, test, and deploy physical AI systems—for robotics, autonomous vehicles, and aerospace—faster and more safely.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, United States (with significant presence in Singapore, Japan, and Indonesia)
- **Founded**: 2020
- **Founders**: Charles Wong (CEO & Co-Founder), Aravind Kandiah (CTO & Co-Founder)

## Core Business
- **Primary Industry**: Software Development / AI & Robotics Simulation
- **Target Customers**: B2B, Enterprise (robotics companies, autonomous vehicle teams, aerospace & defense, industrial automation)
- **Mission / Purpose**: “To give AI the data and tools it needs to solve complex problems in the physical world.”

## Products & Services
- **Bifrost Simulation Platform** (SaaS): A cloud-based platform for generating realistic synthetic data and running CI/CD-style evals for physical AI. Key features include:
  - Sensor model simulation (customizable intrinsics for perception systems)
  - Lighting, weather, and environmental simulation with physically based rendering
  - Automated labeling (bounding boxes, segmentation, etc.)
  - Scenario variation scaling (objects, conditions, perturbations)
  - Templates and presets library for common use cases (object detection, autonomous patrol, etc.)
  - Data-centric debug tools to identify failure modes and generate targeted patches

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed
- **Key Metric**: **Total Funding** – $8.12M (Series A of $8M raised in October 2024, plus earlier seed rounds)
- **Annual Revenue**: Estimated $3.0M (based on LinkedIn data)
- **Notable Investors**: Sequoia Capital, Lux Capital, Airbus Ventures
- **Growth Signals**:
  - Team of 19 employees (global presence); -2.4% YoY but actively hiring (4 open positions as of mid-2025)
  - Trusted by “the world’s most demanding teams across land, air, sea, and space,” including NASA
  - Recent funding ($8M Series A) from top-tier VCs signals strong investor confidence

## Competitive Advantages
- **100x faster iteration** compared to relying on real-world robot fleets alone
- **High realism** – bridges the domain gap with physically accurate materials, sensor intrinsics, and dynamic lighting
- **Automated labeling** eliminates manual annotation bottlenecks
- **Easy integration** – “No 3D experience required” and templates for rapid start
- **Data-centric workflow** – Identify and patch edge cases before deployment, reducing catastrophic failures

## Strategic Focus
- **Current Priorities**: Building “simulation & eval infra for physical AI”; expanding world model capabilities for land, air, sea, and space domains
- **Direction**: Accelerating the shift from real-world data dependency to simulation-driven development, enabling safer and faster AI deployment in critical physical applications

## Why Work Here
- **Culture & Ratings**: 4.0/5 on LinkedIn (14 reviews), with strong scores for Work-Life (4.7) and Culture (4.3)
- **Team**: A mix of AI scientists, robotics developers, computer graphics engineers, and former Hollywood artists – rare interdisciplinary environment
- **Work Mode**: Global team across San Francisco, Singapore, Japan, and Indonesia; hybrid/remote likely (not explicitly stated)
- **Open Roles (as of mid-2025)**: Member of Technical Staff, Frontend Engineer, Founder’s Office Strategy Intern (6 months), Growth Lead (Robotics & World Models)
- **Salary Examples** (from LinkedIn): Software Engineer ~SGD 87,000 annually (likely), Marketing Specialist ~KRW 51M/year, Copywriter ~INR 205K/month
- **Perks**: Not detailed, but the focus on cutting-edge physical AI and autonomy problems appeals to mission-driven engineers

## Sources
1. [bifrost.ai](https://www.bifrost.ai/) – Company overview and product description
2. [bifrost.ai/about](https://www.bifrost.ai/about) – Founders, mission, team background
3. [bifrost.ai/product](https://www.bifrost.ai/product) – Detailed features and use cases
4. [linkedin.com/company/bifrost-ai](https://www.linkedin.com/company/bifrost-ai) – Company details, funding, revenue, employee count, ratings, open jobs
5. [jobs.ashbyhq.com/bifrost](https://jobs.ashbyhq.com/bifrost) – Current job postings

## Other roles at Bifrost AI

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- [Founder's Office - Strategy Analyst Internship (6 Months)](https://feeny.ai/job/founder-s-office-strategy-analyst-internship-6-months-bifrost-ai-singapore-f7mffj0xbtpz) — Singapore
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