NVIDIA Digital Twin Solutions Architect

EY; Warszawa; Hybrid; PLN 393,700 - 492,126; Full time

Benefits offered by this job

Continuous learning opportunities

Flexible tools and impact

Leadership insights and coaching

Diverse and inclusive culture

Job summary

EY is seeking an experienced professional to lead the design of industrial-scale digital twins and robotics platforms in a hybrid work model. This role involves driving spatial computing strategy and ensuring high-fidelity simulations.

The successful candidate will possess deep expertise in spatial computing and GPU-accelerated systems, alongside a strong leadership skill set. This position offers dynamic benefits to foster a culture of continuous learning and success.

Qualifications

• 8+ years of experience in deep infrastructure and software engineering.
• At least 2–3 years of experience with NVIDIA.
• Good command of English.

Responsibilities

• Lead design of digital twins and robotics platforms.
• Architect OpenUSD-based digital twins and design robotics pipelines.
• Integrate real-time IoT telemetry for simulation environments.

Skills

Spatial computing

Robotics simulation

GPU-accelerated systems

Strong leadership

Systems thinking

Problem-solving

Tools

NVIDIA Omniverse

NVIDIA Isaac

ROS/ROS2

NVIDIA Jetson AGX Orin

OVX/DGX infrastructure

Job description

Location: Wrocław / Katowice / Warsaw - 2 days in office / 3 days remote

Opportunity

Lead the design of industrial‑scale digital twins and sim‑to‑real robotics platforms using NVIDIA Omniverse and Isaac. Drive spatial computing strategy, enabling high‑fidelity simulation, autonomous system training, and seamless deployment to physical environments with minimal reality‑gap.

Your Key Responsibilities

Architect OpenUSD‑based digital twins, design sim‑to‑real robotics pipelines, and optimise NVIDIA Omniverse and Isaac ecosystems. Lead HPC infrastructure design, integrate real‑time IoT telemetry, and ensure physics‑accurate, GPU‑accelerated simulation environments for enterprise‑scale industrial automation.

Skills & Attributes for Success

• Deep expertise in spatial computing, robotics simulation, and GPU‑accelerated systems.
• Strong leadership, systems thinking, and problem‑solving skills.
• Proven ability to bridge simulation and physical systems, optimise performance, and influence enterprise stakeholders across complex technical ecosystems.

Required Qualifications

• 8+ years of experience in deep infrastructure and software engineering with at least 2–3 years of experience with NVIDIA.
• NVIDIA Omniverse Enterprise (Nucleus, Kit, Connectors).
• OpenUSD (schema design, composition, variants).
• NVIDIA Isaac Sim, Isaac Lab, OmniIsaacGymEnvs.
• Sim‑to‑Real (S2R), domain randomization, RL pipelines.
• RTX rendering, Omniverse USD APIs, Kit SDK.
• ROS/ROS2, NVIDIA Jetson AGX Orin.
• OVX/DGX infrastructure, multi‑GPU training.
• Willingness to travel occasionally.
• Good command of English.

Preferred Qualifications

• NVIDIA Deep Learning Institute (DLI) certifications.
• Omniverse extensions development and custom connectors.
• Synthetic Data Generation (SDG) pipelines.
• NVIDIA Metropolis / edge AI integration.
• Advanced ray tracing and real‑time physics solvers.
• CUDA optimisation and GPU performance tuning.
• Integration with Kafka, MQTT, OPC UA streams.

Benefits

EY Global Delivery Services (GDS) offers a dynamic, globally distributed environment for career growth, cross‑functional collaboration, and learning opportunities.

• Continuous learning: develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: tools and flexibility to make a meaningful impact your way.
• Transformative leadership: insights, coaching, and confidence to be the leader the world needs.
• Diverse and inclusive culture: embraced for who you are and empowered to use your voice to help others find theirs.