At a Glance
- Tasks: Transform 3D models into simulation-ready assets for cutting-edge robotics projects.
- Company: Join Turing, a leader in AI research and innovation.
- Benefits: Flexible remote work, competitive pay, and potential for contract extension.
- Other info: Work in a dynamic environment with opportunities for growth and learning.
- Why this job: Make an impact in the exciting field of AI and robotics.
- Qualifications: Experience with NVIDIA Isaac Sim, Python scripting, and 3D modelling tools.
The predicted salary is between 36000 - 60000 € per year.
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Job Overview: We are looking for a highly skilled Simulation Asset & Environment Specialist for an immediate project contract - initial duration will be 2 months with potential to extend beyond. This is a high-impact role bridging the gap between 3D art and Robotics Engineering. You will be responsible for transforming raw 3D models into fully functional, "simulation-ready" assets for NVIDIA Isaac Sim. This is not a pure modelling role; it requires a deep technical understanding of USD structures, physics properties (colliders, mass, friction), and Python scripting for automation.
Key Responsibilities:
- Asset Prep: Ingest 3D models (USD, FBX, OBJ) and configure them for perception tasks (semantic labelling) and physics interaction (collision geometry, articulation).
- Environment Assembly: Build and validate simulation scenes, ensuring performance optimization (LODs, proxy meshes) and physics determinism.
- Pipeline & Logic: Use Python & OmniKit to write behaviour scripts and document the workflow for future scalability.
Must-Have Qualifications:
- NVIDIA Isaac Sim & Omniverse: Deep familiarity with the interface and toolset.
- USD (Universal Scene Description): Strong understanding of layering, variants, and composition arcs.
- Physics Simulation: Experience creating convex decomposition colliders, setting joint articulation, and tuning material properties.
- Python Scripting: Ability to write scripts for Isaac Sim extensions or asset automation.
- 3D DCC Tools: Proficiency in Blender, Maya, or Max for basic geometry adjustment.
Contract Details:
- Time Commitment: 20-40 hours per week
- Project Duration: Initially 2 months - extendable by mutual agreement
- Start Date: Immediate
- Location: Remote
Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
NVIDIA Isaac Sim (Simulation Engineer) - 54835 in Crawley employer: Turing
Turing is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and simulation technology. With a focus on employee growth, Turing offers opportunities to work on cutting-edge projects in a collaborative remote environment, ensuring that every team member can contribute meaningfully while developing their skills. The company's commitment to excellence and impact makes it an attractive place for professionals looking to advance their careers in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land NVIDIA Isaac Sim (Simulation Engineer) - 54835 in Crawley
✨Tip Number 1
Get your networking game on! Reach out to folks in the industry, especially those who work with NVIDIA Isaac Sim or similar tech. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your simulation-ready assets and Python scripts. This is your chance to demonstrate your expertise in transforming 3D models and working with physics properties.
✨Tip Number 3
Prepare for that AI video interview! Brush up on common questions related to USD structures and physics simulation. Practising your responses will help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace NVIDIA Isaac Sim (Simulation Engineer) - 54835 in Crawley
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with NVIDIA Isaac Sim and Python scripting in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your technical know-how!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention your familiarity with USD structures and physics simulation, as these are key aspects of the job. We love seeing candidates who take the time to connect their experience to what we’re looking for.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience. Avoid fluff and focus on what makes you a great fit for the role!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get all the latest updates directly from us!
How to prepare for a job interview at Turing
✨Know Your Tools Inside Out
Make sure you’re well-versed in NVIDIA Isaac Sim and Omniverse. Familiarise yourself with the interface, toolset, and any recent updates. Being able to discuss specific features or improvements can really impress the interviewers.
✨Showcase Your Technical Skills
Prepare to demonstrate your understanding of USD structures and physics properties. Bring examples of past projects where you’ve transformed 3D models into simulation-ready assets, highlighting your Python scripting skills for automation.
✨Practice Problem-Solving Scenarios
Think about common challenges in simulation asset preparation and environment assembly. Be ready to discuss how you would approach issues like performance optimisation or collision geometry tuning, showcasing your analytical thinking.
✨Engage with the Interview Format
Since there’s an AI video interview involved, practice speaking clearly and confidently on camera. Prepare answers to common questions and rehearse them to ensure you come across as knowledgeable and enthusiastic about the role.
