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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, World Model Systems Engineering - **Company:** NVIDIA Ltd. - **Location:** United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Systems Engineering, Computer Vision, Big Data, C++ (Programming Language), Computer Engineering, Data Files, Expert Systems, Systems Analysis, Python (Programming Language), Machine Learning, Requirements Management, Software Engineering, Software Requirements Analysis, Verification and Validation (Software), SQL Databases, Test Case, Graphics Processing Unit (GPU), Performance Testing, Large Language Models, Model Validation, Data Strategy, Information Technology - **Published:** August 21, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-world-model-systems-engineering-autonomous-vehicles-ca--2f934ad9-0938-4381-9eb3-7950536dd77c ## About the Role * MS, or PhD in Engineering, Physics, Computer Science, Data Science or another related field (or equivalent experience) * 8+ years systems engineering experience on complex systems, systems analysis (e.g. error budget creation, modeling of scenarios), data analysis, and statistical analysis * Experience with verification and validation of world model stacks * Experience with VLMs, LLMs and agentic workflows for purposes of automated triage * Data strategy definition * Understanding of failure analysis methodologies such as Fault Tree Analysis (FTA) and MTBF decomposition * Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations * Proficiency with SQL and Python or C++ Ways to stand out from the crowd: * Experience with autonomous vehicles and/or machine learning, computer vision * You have experience working with large datasets, data science, analytics * Software engineering experience, Analysis Skills, Artificial Intelligence (AI), Automotive Automation, Autonomous Driving Systems, Budgeting, Computer Engineering, Computer Science, Computer Vision, Data Analysis, Data Science, Data Sets, Engineering, Expert Systems, Failure Analysis, GPU (Graphics Processing Unit), Interpersonal Skills, Leadership, Machine Learning, Maintain Compliance, Metrics, Model Validation, Patient Assessment, Performance Testing, Physics, Problem Solving Skills, Process Improvement, Regulatory Compliance, Reporting Dashboards, Requirements Management, Software Engineering, Systems Engineering, Test Case, Use Cases, Validation Plan, Validation Testing, Vehicle Driving ## Description The Automotive Vehicles team is searching for a creative and expert Systems Engineer to help us expand NVIDIA's autonomous vehicle solution. You will participate in a focused effort to productize ground-breaking perception solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with a world-wide team of systems engineers, AI applied researchers and software engineers in building world-class perception and mapping and localization solutions, while achieving or exceeding all NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun and relevant! What you will be doing: * Develop perception, mapping and localization system requirements from use cases and customer requirements * Perform analysis to define performance requirements and allocate performance budgets * Plan validation and formulate test cases and critical metrics to ensure compliance with requirements * Test performance and triage results * Perform detailed analysis and develop dashboards * Work closely with hardware engineering, safety, developers and product teams to ensure we build the right product * Find innovative solutions to constantly improve our processes * Establish relationships with all relevant partners across the organization ## Related Videos - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [AIQSpecFlow: Improves and automates your agile process of specification and creation of testcases.](https://www.wearedevelopers.com/videos/100084-aiqspecflow-improves-and-automates-your-agile-process-of-specification-and-creation-of-testcases) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [AI as a Test Designer: Transforming Experience into Automated Testing](https://www.wearedevelopers.com/videos/1984-ai-as-a-test-designer-transforming-experience-into-automated-testing) ## Related Articles - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Jobs Can You Get with a Software Engineering Degree?](https://www.wearedevelopers.com/magazine/398-what-jobs-can-you-get-with-a-software-engineering-degree) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)