Staff Engineer — Virtualization, Knowledge Management & Agentic Simulation jobs in United States
cer-icon
Apply on Employer Site
company-logo

General Motors · 6 hours ago

Staff Engineer — Virtualization, Knowledge Management & Agentic Simulation

General Motors is redefining mobility with a focus on human-centered design and innovative technology. The Staff Engineer role involves leading the development of agentic simulation frameworks, AI-driven knowledge management systems, and virtualization strategies for complex engineering environments, emphasizing performance validation and predictive analytics.

AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
check
H1B Sponsor Likelynote

Responsibilities

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
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
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
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

Qualification

Agentic Simulation FrameworksAI Knowledge ManagementPerformance Validation MethodologiesProgramming MATLAB/SimulinkProgramming PythonProgramming C++AI/ML PyTorchAI/ML TensorFlowStatistical ValidationSimulation Performance BenchmarkingSoft Skills

Required

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
Experience designing multi-agent architectures and orchestration patterns
Experience with agent-based modeling frameworks and collective intelligence optimization
Expertise in validation frameworks, knowledge capture, and efficiency metrics
Ability to predict and validate AI tool efficacy using simulation and statistical methods
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
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
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

Preferred

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

Benefits

Relocation benefits

Company

General Motors

company-logo
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.

H1B Sponsorship

General Motors has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)

Funding

Current Stage
Public Company
Total Funding
$8.51B
Key Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M

Leadership Team

leader-logo
Mary Barra
Chair and Chief Executive Officer
linkedin
leader-logo
Tony Cervone
Senior Vice President, Global Communications
linkedin
Company data provided by crunchbase