Principal Engineer (Physical AI & Digital Twin)

Grid Dynamics; Wrocław; On-site; PLN 180,000 - 290,000; Full time

Benefits offered by this job

Bleeding-edge projects

Competitive salary

Flexible schedule

Medical insurance

Sports facilities

Professional development opportunities

Well-equipped office

Corporate social events

Job summary

Grid Dynamics seeks a Principal Engineer to lead an AI-first enterprise simulation platform on the NVIDIA stack for a global heavy-equipment client. You will own the platform architecture from day one, guiding a multi-discipline team and client leadership to keep digital twins in sync with real data and accelerate autonomous development.

You will design AI agents, set SimOps practices and drive scalable simulation across robotics, autonomy and synthetic data domains.

Qualifications

• Leader with end-to-end technical ownership of the NVIDIA simulation stack.
• Delivery of digital twins for vehicles, robots or industrial sites.
• Strong AI background for simulation and workflow automation.
• Ability to define and govern a multi-team platform architecture.
• Experience leading multi-discipline teams and communicating trade-offs.

Responsibilities

• Own the platform architecture of the AI-first simulation stack using Omniverse and related NVIDIA tools.
• Define how digital twins are built, synced with real data and validated.
• Lead design of simulation AI agents for scenario generation and analysis.
• Establish SimOps practices to version, automate and scale simulations.
• Guide a six-engineer team across physics, sensors, rendering, USD, robotics and data.
• Represent the team in technical discussions with client leadership and explain trade-offs.

Skills

Python

C++

Leadership

Digital Twins

Tools

Omniverse

Isaac Sim

OpenUSD

RTX

PhysX

Job description

We are seeking a Principal Engineer (Physical AI & Digital Twin), to lead the technical build of an AI-first enterprise simulation platform on the full NVIDIA stack for a global heavy-equipment manufacturer that is scaling autonomy, robotics, digital twins and physical AI. In this role, you will own the platform architecture from day one, working between a multi-discipline engineering team and the client’s engineering leadership to define how digital twins are built and kept in sync with real data, lead the design of simulation AI agents that remove manual engineering effort, and set the SimOps practices that let simulation scale.

Responsibilities

• Platform Architecture: Own the technical architecture of the AI-first simulation platform built on Omniverse, Isaac Sim, OpenUSD, RTX and PhysX, serving autonomy, robotics, synthetic data and validation teams.
• Digital Twins: Define how digital twins of machines and sites are built, composed and kept in sync with real data.
• Simulation AI Agents: Lead the design of AI agents and workflow automation that handle scenario generation, setup, execution and analysis, removing manual engineering effort and speeding up autonomy development.
• SimOps Practices: Set how scenarios, assets and simulation runs are versioned, automated and scaled.
• Technical Team Leadership: Guide six engineers across physics, sensors, rendering, USD, robotics and synthetic data, and align their work with the client’s autonomy, robotics and synthetic-data priorities.
• Client Engineering Leadership: Represent the team in technical discussions with the client’s engineering leaders and explain architectural trade-offs.

Requirements

• Principal-level, end-to-end technical leadership on the NVIDIA simulation stack: Omniverse, Isaac Sim, OpenUSD, RTX and PhysX.
• Digital Twin Delivery: Track record of designing and delivering digital twins of vehicles, robots, machines or industrial sites used in production engineering work.
• AI for Simulation: Deep AI background, including building AI agents that automate scenario generation, setup, execution and analysis.
• Multi-Team Platform Design: Proven ability to define the architecture of a simulation platform that serves several teams with different needs.
• Cross-Discipline Leadership: Experience leading a multi-discipline team technically and explaining trade-offs to senior engineering stakeholders.
• Python & C++: Strong working proficiency in both languages.

Nice to have

• Autonomy Validation & Sim-to-Real: Experience with simulation for autonomy validation and sim-to-real transfer for off-road or heavy machinery.
• SimOps at Scale: Experience with CI for simulation, scenario libraries and large-scale batch simulation on GPU clusters.
• NVIDIA Ecosystem: NVIDIA ecosystem partnerships or contributions to Omniverse, Isaac or OpenUSD.
• Travel Readiness: Willingness to travel to client sites when needed.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.