About Us:
Phridom AI - Ability Robotics is an early-stage robotics and AIcompany building the core systems behind embodied intelligence. Ourtechnologies help robots understand the physical world, learn intelligentbehaviours, and operate reliably in real environments. We’re still in stealth,but we’re already working with a select group of partners to validate oursystems in high-impact robotics applications. If you're excited to buildfoundational technologies for the next generation of robotics and wantmeaningful ownership over hard technical problems, we'd love to hear from you.
Role Overview:
As a Simulation & Synthetic Data Engineer, you’ll build thesimulation and data infrastructure that helps embodied robots learn, test, andimprove before they reach the real world. Your work will accelerate modeldevelopment, strengthen sim-to-real reliability, and directly support robotdeployments in customer environments.
What you'll work on
1. Develop and scale robotic simulation environments for algorithmvalidation, system testing, and data generation.
2. Design simulation scenarios and task environments that supportperception and learning model training and evaluation.
3. Build automated synthetic data generation pipelines with controllablescenario variation and domain randomization.
4. Collaborate with perception and learning teams to define datarequirements, benchmarks, and evaluation metrics.
5. Improve alignment between simulation and real-world systems tosupport sim-to-real transfer.
6. Develop tooling that improves the efficiency, reliability, andscalability of data generation workflows.
7. Align simulation interfaces and workflows with real robot systemarchitectures.
Technical Requirements
Must Have
1. Bachelor's degree or above in Robotics, Computer Science, Graphics,Simulation, or a related field, with at least 3 years of industry experience.
2. Experience with at least one robotics simulation platform (e.g. IsaacSim, MuJoCo, Genesis, Newton, etc.).
3. Strong Python programming skills.
4. Solid understanding of robotic systems, perception, and controlfundamentals.
5. Strong systems thinking and engineering execution capabilities.
6. Ability to independently build simulation environments and automateddata generation workflows.
7. Familiarity with GPU acceleration and parallel computing technologies(e.g. CUDA, PyTorch, TensorRT).
Nice to Have
1. Experience working with humanoid robots, mobile manipulators, orother robotic platforms.
2. Experience building large-scale synthetic data generation systems.
3. Familiarity with photorealistic rendering pipelines.
4. Familiarity with latest developments in robotic simulation space.
5. Experience with sim-to-real techniques, domain randomization, orrelated approaches.
6. Experience collaborating closely with machine learning or robotlearning teams.
7. Experience building reproducible simulation and experimentationpipelines.
Your Impact
• Your work will ship into real deployments, helping humanoid andembodied robots operate reliably in customer and public environments - not justcontrolled demos.
• You'll improve system robustness across both simulation and physicalhardware under real-world conditions.
• You'll help transform prototypes into scalable, repeatable systemsthat improve uptime, safety, and data quality across deployments.
• You'll play a key role in accelerating how quickly the team canbuild, test, learn, and deploy.
Why Join Us
Join us at an early stage and help build the core softwareinfrastructure behind humanoid and embodied robotic systems heading towardreal-world deployment. We move fast, ship often, and give engineers meaningfulownership—so you'll learn quickly, tackle high-impact challenges, and see yourwork running on real robots outside the lab. With active business across Chinaand beyond, you'll gain unique exposure to global robotics ecosystems,customers, and partners as the company scales.
Location
This role is based on-site in Singapore, working closely with theengineering team and robotic systems.
Occasional international travel to China and other regions may berequired for training, customer engagements, deployments, and partnercollaborations.
How to Apply
Send your resume and a brief introduction outlining your relevantexperience and interest in the role to info@phridom.com.
We'd also love to see examples of simulation environments, roboticsprojects, synthetic data pipelines, or other work you're proud of.
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