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- 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.
- 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.
- Other info: Work in a dynamic environment with opportunities for growth and learning.
The predicted salary is between 30000 - 42000 £ 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 Chesterfield employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NVIDIA Isaac Sim (Simulation Engineer) - 54835 in Chesterfield
✨Tip Number 1
Get your networking game on! Connect with professionals in the AI and simulation fields on platforms like LinkedIn. We can leverage our connections to find out about hidden job opportunities that might not be advertised.
✨Tip Number 2
Prepare for that AI video interview! Brush up on your technical skills related to NVIDIA Isaac Sim and Python scripting. We should practice common interview questions and even do mock interviews to boost our confidence.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant simulations or 3D models, make sure to have them ready to share. We can create a portfolio that highlights our skills and experience, making us stand out to potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. We should take advantage of any referral programs too; if we know someone at Turing, let’s reach out and get that extra boost!
We think you need these skills to ace NVIDIA Isaac Sim (Simulation Engineer) - 54835 in Chesterfield
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 you can transform 3D models into simulation-ready assets, so don’t hold back on showcasing your technical know-how!
Tailor Your Application: Take a moment to customise your application for this role. Use the job description as a guide and align your skills and experiences with what we’re looking for. This shows us that you’re genuinely interested and have done your homework!
Keep It Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re the perfect fit for the Simulation Engineer 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. This will not only help you answer technical questions but also show your genuine interest in the role.
✨Showcase Your Technical Skills
Prepare to discuss your experience with USD structures, physics properties, and Python scripting. Bring examples of past projects where you transformed 3D models into simulation-ready assets. Being able to articulate your process will impress the interviewers.
✨Practice Problem-Solving Scenarios
Anticipate questions that may involve troubleshooting or optimizing simulation scenes. Think through how you would approach common challenges in asset preparation and environment assembly, and be ready to share your thought process.
✨Engage with the Interview Format
Since you’ll be going through an AI video interview, practice speaking clearly and confidently on camera. Make sure your setup is professional, and consider doing a mock interview to get comfortable with the format.