Leading an engineering team responsible for STLASim core tooling, with primary ownership of HMI development, DevOps infrastructure, and automation frameworks, predominantly implemented using MATLAB and Simulink.
Planning, prioritizing, and coordinating team activities related to HMI feature development, automation workflows, DevOps pipelines, deployment, and operational support for STLASim and related simulation platforms (e.g., GOFAST).
Leading MATLAB/Simulink‑based HMI, DevOps, and automation development through a combination of technical guidance, code and model review, and direct development involvement when required to address complex or critical issues.
Owning and evolving DevOps and automation infrastructure, including build, integration, release, and execution workflows used to operate simulation tools at scale.
Acting as the primary escalation point for complex tooling, HMI, and platform‑level issues, including debugging interactions between simulation models, automation logic, and execution environments.
Ensuring release readiness, validation, and quality of HMI, automation, and tooling deliverables through technical oversight and coordination with architects and stakeholders.
Supporting tool users by overseeing issue triage, root‑cause analysis, and resolution of HMI, automation, and tooling‑related problems.
Driving continuous improvement of tool usability, automation coverage, DevOps robustness, and team effectiveness through standardization and process simplification.
Basic Qualifications:
Bachelor's degree in Engineering (Mechanical, Electrical, Controls, Computer, or related field).
5+ years of engineering experience in MATLAB/Simulink-based tooling, automation, or simulation platforms.
Demonstrated experience in an engineering team lead or technical lead role, including responsibility for technical direction and work coordination.
Strong hands-on experience with MATLAB and Simulink, including development, debugging, and integration of tooling and models.
Proven experience owning HMI development, DevOps workflows, automation pipelines, and release processes for engineering tools.
Demonstrated ability to contribute directly to development efforts to resolve complex technical issues and ensure delivery objectives are met.
Strong problem-solving skills and ability to lead resolution of cross-disciplinary technical challenges.
Demonstrated ability to work effectively with global, cross-functional teams and external partners.
Preferred Qualifications:
Experience with High-Performance Computing (HPC) environments, including large-scale simulation execution, job scheduling, and performance optimization.
Full-stack development experience, including backend services, APIs, and user-facing applications for engineering tools.
Strong background in DevOps practices, including CI/CD pipelines, infrastructure automation, and toolchain integration.
Experience with Python or other code-based simulation and automation environments.