Staff Engineer - Virtualization, Knowledge Management & Agentic Simulation

Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

Lead the development of agentic simulation frameworks, AI-driven knowledge management systems, and virtualization strategies for complex engineering environments. This role emphasizes performance validation methodologies , predictive analytics for AI tool efficacy, and advanced simulation orchestration.

What You'll Do

Agentic Simulation Frameworks

• Architect multi-agent workflows for design, analysis, and decision-support.
• Implement orchestration strategies for parallel and serial agent execution.
• Integrate AI agents for requirement verification, optimization, and adaptive learning.

AI Knowledge Management

• Deploy Validation strategies for authenticating, synchronization and optimizing organizational knowledge.
• Design Knowledge Management (KM) pipelines across multiple platforms and develop predictive models for AI tool efficacy.
• Validate KM systems through large-scale multi-agent simulations.

Virtualization & Simulation Performance

• Develop virtualization strategies for scalable simulation environments.
• Conduct performance analysis: throughput, latency, determinism, resource utilization, and robustness under stress.
• Apply statistical validation frameworks to ensure reproducibility and confidence in simulation results.

Validation Methodologies

• Establish quantitative metrics for simulation fidelity and decision-making efficiency.
• Implement predictive analytics for AI deployment success using A/B testing, offline replay, and sensitivity analysis.
• Document validation evidence for enterprise-scale rollouts.

Your Skills & Abilities (Required Qualifications)

Education

• PhD or Master's degree in Electric Engineering, Computer Engineering, or related field.
• Professional education in Modeling and Simulation (NTSA or alike)
• Professional education in Software quality and testing (ISTQB, QAI's CSTE/CSQA or STEC)
• 10+ years of experience delivering embedded or system-level software in production environments.

Agentic Simulation

• Experience designing multi-agent architectures and orchestration patterns.
• Experience with agent-based modeling frameworks and collective intelligence optimization.

AI Knowledge Management

• Expertise in validation frameworks, knowledge capture, and efficiency metrics.
• Ability to predict and validate AI tool efficacy using simulation and statistical methods.

Performance Validation

• Strong background in simulation performance benchmarking: latency, determinism, scalability, and robustness.
• Proficiency in statistical validation (confidence intervals, effect sizes, hypothesis testing).
• Strong background with high-performance high-fidelity control systems simulation for Electric Drive, Power Electronics and RESS

Software & Tools

• Programming: MATLAB/Simulink, Python, C++ for simulation control, data analysis, and ML integration.
• AI/ML: PyTorch, TensorFlow, scikit-learn for predictive modeling.
• Data Analysis: NumPy, Pandas, SciPy, visualization with Matplotlib, Seaborn.
• Experiment Tracking: MLflow, Airflow, Prefect.
• CI/CD: Git, GitLab, Jenkins, containerization with Docker/Kubernetes.

Performance Analysis Tools

• Profilers: Perf, VTune, Nsight Systems for CPU/GPU utilization.
• Timing & Jitter Analysis: Chrony, Perfetto, Trace Compass.
• Resource Monitoring: Prometheus/Grafana, htop, nmon.
• Statistical Analysis: R, SciPy, Statsmodels for hypothesis testing and confidence metrics.

What Will Give You a Competitive Edge (Preferred Qualifications)

• Demonstrated success in deploying AI-driven KM systems with measurable efficiency gains.
• Experience validating simulation frameworks under stress and scalability scenarios.
• Proven ability to forecast AI tool performance using predictive analytics and simulation-based testing.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Client-provided location(s): Warren, MI

Job ID: General_Motors-JR-202600277

Employment Type: FULL_TIME

Posted: 2026-01-15T00:18:07