System Software Engineer, Robotics Simulation - New College Grad 2026
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
We are now looking for a System Software Engineer for our Robotics Simulation Team! NVIDIA Isaac Sim™ is a cutting-edge robotics simulation platform that empowers researchers and engineers to accelerate the development and deployment of intelligent robots. Leveraging the power of NVIDIA's AI and GPU technologies, Isaac Sim offers a realistic and scalable environment for training, validating, and optimizing robots for real-world scenarios.
What you’ll be doing:
Building and integrating tools to configure, simulate, and test robots
Maintain and optimize the existing simulation stack for scalable robot and sensor simulation
Integrate APIs to support large scale simulator deployments on distributed systems
Develop microservices, using ZMQ, DDS, RPC, RESTful and other network level communication APIs
What we need to see:
Pursuing or recently completed BS, MS, PhD (or equivalent experience) in Computer Science, Simulation, or related field
Experience in systems software engineering
Excellent C, C++, and Python programming skills
Flexibility to adapt quickly to varying roles & responsibilities
Experience with physics simulation, robotics or motion planning & controls
Excellent interpersonal skills and ability to work optimally with multi-functional teams, principles, and architects across organizational boundaries and geographies
Ways to stand out from the crowd:
Experience with Isaac Sim, Omniverse, USD, MJCF, URDF, CAD formats
Background with physical robots, reinforcement learning, synthetic data generation
Experience with UI/UX for user and developer facing tools
Background with shipping and supporting software products
Experience with system level optimization using multi-threading, asynchronous programming, concurrency and parallelism
NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. Do you want to help build a state of the art, next generation simulation platform for the robotics industry? If so, we welcome you to apply. Tell us why you think you might be a great fit for our team, and we'd love to tell you more about what we do.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.You will also be eligible for equity and benefits.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Lead technical partnerships with EDA startups and semiconductor developers at NVIDIA to accelerate platform adoption and shape product strategy.
NVIDIA is hiring a Senior Deep Learning Software Engineer to develop and optimize PyTorch components and production AI solutions for large-scale GPU deployments.
Experienced Engineering Manager needed to lead a 5–8 person AI/platform engineering team at FloQast, combining hands-on coding, system architecture, and people leadership to modernize core platform services.
Veeva Systems is hiring a Senior Backend Software Engineer to lead development of scalable Python-based backend services for new products on the New Markets team (remote, PST/MST).
NVIDIA is hiring a Senior Deep Learning Software Engineer to develop and optimize PyTorch components and production AI solutions for large-scale GPU deployments.
Lead a distributed engineering team to own and evolve a high-performance macOS endpoint agent, combining hands-on kernel/system work with strong people and incident management skills.
Build and own full-stack web applications and APIs that power satellite manufacturing at Apex, a fast-growing aerospace company focused on scalable satellite bus production.
Founding Forward Deployed Engineer to own and ship complex, latency-sensitive customer integrations while building the FDE function and shaping product direction at Anam.
Lead frontend development on KrakenFlow's drag-and-drop workflow and form builder, using React/TypeScript to deliver accessible, mobile-first experiences for a global energy platform.
Experienced engineering leader needed to guide teams building scalable, secure payment systems using Java, JavaScript/React, and modern cloud CI/CD practices at Visa.
Ambient.ai is hiring a Full Stack Engineer to build scalable, real-time backend systems and APIs that power its AI-driven physical security platform.
Lead enterprise Salesforce development as a hands-on Tech Lead specializing in Apex, LWC and integrations for Siri InfoSolutions supporting Fortune 500 clients in Dallas (onsite).
Help build the core platform and infrastructure for an AI-first CRM, shaping architecture, data systems, and developer tooling alongside the founding team.
Help operate and scale a high-performance GPU cluster used by cutting-edge ML research and production teams as a Senior Site Reliability Engineer.
WorkOS is hiring a Product Security Engineer to lead product-focused security design, assessments, and remediation for their distributed cloud platform while partnering closely with product engineering teams.
NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
111 jobs
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
