General Motors

Full-stack Engineer

• Execute Static, Dynamic Simulation study and Virtual Build activity.
• Create Collaboration context in MPP
• Achieve process excellence metrics like 100% First Time Quality, 100% On time delivery, 95% Efficiency, 85% Project Utilization by adhering to standardized work for all studies
• Provide and implement continuous process improvement ideas within the team
• Seek & evaluate customer feedback and drive changes as appropriate
• Represent GA simulation in the appropriate forums.
• Participate in global product development working calls & team meetings.
• Capture and share lessons learned within the team
• Enhance team’s capabilities by bringing in innovation

Lead Engineer – GA Simulation, Virtual Engineering

Customer Success Manager

• Build, maintain, and enhance production dashboards and topic models using Qualtrics XM Discover and Qualtrics Engage
• Develop ad hoc analyses, dashboards, and topic models to support investigations, performance tracking, and data‑driven decision‑making
• Analyze structured and unstructured VOC and interaction data to uncover trends, themes, and emerging insights
• Translate complex analytical outputs into clear, actionable insights that support operational, product, and customer experience improvements
• Leverage AI and advanced analytics tools to improve efficiency, scalability, and speed-to-insight
• Partner with stakeholders across the business to prioritize insight needs and guide next‑step actions
• Support the Advisor Quality Management models and dashboards for Advisor Behaviors
• Solicit feedback from stakeholders and iterate analysis based on inputs received.

Customer Success Insights & Analytics Analyst

Engineer

• Leads and generates technical solutions including specifying of SW requirements, functional decomposition, analysis, development and testing for current, new and major programs.
• Lead development and integration of software system team design content and software anomaly corrections, SW debugging, and all build related issues.
• Performs complex Software design analysis and ensure Software best practices are applied/implemented.
• Specifies and balances system requirements across all systems and ensure features functions are optimal end-to-end.
• Provide, communicate, mentor and support common software and design best practices among software and systems design community (end-to-end).
• Performs other related duties as assigned.
• Performs as Subject Matter Expert (SME) for at least one platform or application component.

Senior Software Integration, Execution Engineer

Operations

• Conduct operational safety analysis for manual, supervised, and autonomous driving modes
• Define operational safety requirements and collaborate with key stakeholders such as Operations, Software, Hardware, and Legal teams to ensure proper implementation and validation
• Lead or support studies to corroborate safety analysis conclusions with empirical data, document findings, and provide clear conclusions and recommendations
• Lead operations safety issue management to address emerging issues through thorough investigation and resolution
• Ensure evidence for operations safety relevant safety case claims is documented and complete
• Perform regular audits of autonomous vehicle operations processes, such as driver monitoring system alert response and incident response
• Identify and document audit findings, including procedural non-conformances, safety concerns, or areas for continuous improvement, and provide timely feedback to auditees that is clear, concise, and actionable

AV Operations Safety Engineer

Security Operations

• Supervise GM site security leaders and provide quality assurance oversight
• Support security and fire protection operational activities
• Advise business unit and site leadership on compliance
• Initiate continuous improvement activities for security and fire protection services
• Partner with GM Security Technology for system upgrades

Global Security Operations Specialist

• Design, implement, and maintain embedded data plane and processing pipelines using various technologies.
• Optimize and enhance the performance of our data plane for high throughput and low latency.
• Integrate Embedded data collection with various data sinks such as Azure, S3, GCP and other storage systems.
• Develop custom plugins for our data plane as needed to support unique data processing requirements.
• Collaborate with DevOps to ensure seamless deployment and operation of logging infrastructure.
• Monitor and troubleshoot data plane software to ensure reliability and stability.
• Contribute to the open-source community by reporting issues, contributing to documentation, and submitting patches.
• Assist with developing and integrating a control plane to manage the distributed architecture on a large scale.

Senior Software Developer – Data Plane

• Lead the architecture and implementation of next-generation AI agents
• Drive technical direction and strategy for the AI agent platform
• Mentor and guide junior and senior engineers
• Collaborate with Product Managers and other teams to define requirements
• Conduct complex code reviews and provide feedback
• Identify and address technical debt within the agent infrastructure
• Stay current with advancements in AI, machine learning, and software engineering

Staff Software Engineer, Vehicle AI

• Design, develop, and maintain security-focused platforms using scripting languages, C++, and Rust.
• Implement modern development processes (CI/CD, DevOps, Agile) to ensure efficient and reliable delivery.
• Build scalable solutions across Linux-based environments and cloud-native architectures.
• Integrate diverse systems using APIs, webhooks, and other communication protocols.
• Develop and maintain integrations with AI-driven tools and data enrichment platforms to enhance SecOps capabilities.
• Ensure interoperability across heterogeneous environments and security tools.
• Collaborate with SecOps teams to design and implement advanced monitoring, detection, and response solutions.
• Troubleshoot complex systems and resolve performance, reliability, and security issues.
• Apply cybersecurity best practices to safeguard infrastructure and applications.
• Architect and manage cloud-based environments (AWS, Azure, GCP) with a focus on security and scalability.
• Optimize Linux OS and kernel-level configurations for performance and resilience.
• Automate infrastructure provisioning and configuration management.

Senior Cybersecurity Engineer – Security Operations Engineering

AI Engineer

• Definition and adoption of GM MFG AI capabilities.
• Identify opportunities to update and/or streamline the current AI and GM Robotics Engineering processes together with Manufacturing Engineering SMEs.
• Define and develop ML solutions in real-world environments.
• Computer Vision solutions in real-world environments.
• Ability to digest, design and deploy solutions based on research artifacts.
• Simulation Data Visualization
• Designing solutions at scale (minimize operational overhead).
• End to end understanding of systems and interfaces, so solutions can be built to fit within constraints.

Staff AI Engineer

Incident Response Analyst

• Independently lead high-impact incident response activities involving GM’s third-party partners.
• Serve as a trusted advisor, driving critical decision-making, influencing enterprise risk posture, and ensuring the integrity and continuity of GM’s business operations.
• Collaborate with other GM teams and suppliers to assess attack vectors, coordinate containment, and evaluate strategic impacts, including information exposure, operational disruptions, and supply chain risks.
• Oversee investigations, incident tracking, and resolution, ensuring thorough documentation and reporting.
• Engage external partners to determine root causes and shape third-party risk management.
• Provide strategic support during high-priority and after-hours third-party incidents.
• Prepare and deliver executive-level reports and metrics to support informed decision-making.
• Mentor and guide others, fostering skill development across the team.
• Drive continuous improvement of incident response processes, tools, and methods.

Third-Party Cybersecurity Incident Analyst

Product Manager

• Define and own the long-term product vision and multi-year roadmap for GM’s Core IT Enterprise Collaboration Tools
• Translate IT strategies into prioritized product outcomes, clear use cases, and measurable business value
• Collaborate closely with engineering, UX, change management, and operations to ensure on-time, high-quality delivery and resilient solutions
• Partner with senior leaders to shape strategy, clarify priorities, and align on desired outcomes
• Lead discovery and framing of complex problems, synthesizing user research, analytics, and stakeholder input into solutions
• Manage strategic relationships with vendors and key partners
• Define and track KPIs to measure adoption and engagement
• Champion a consistent, intuitive, and personalized employee and manager experience across platforms and endpoints

Staff Product Manager – Digital Transformation, SaaS Collaboration

• Define and own the long-term product vision and multi-year roadmap for GM’s Core IT Enterprise Corporate Communications Applications.
• Translate IT strategies into prioritized product outcomes, clear use cases, and measurable business value.
• Serve as a thought leader influencing product direction and strategy.
• Partner with senior leaders to shape strategy, clarify priorities, and align on desired outcomes and success metrics.
• Lead discovery and framing of complex problems, synthesizing user research, analytics, and stakeholder input into clear problem statements and solution approaches.
• Manage strategic relationships with vendors and key partners.
• Define and track KPIs to measure adoption, engagement, quality, productivity, and impact.

Staff Product Manager – Corporate Communication Applications, SaaS Collaboration

• Architect and implement metrics and analyses to introspect autonomous driving software performance at subsystem interfaces across the autonomy stack; work closely with autonomy developers and system engineers.
• Propose and develop new statistical and ML methods to quantify performance and identify patterns of system and subsystem behavior across diverse scenes and operational domains.
• Develop and apply methods to introspect the operation of ML components in the autonomy stack.
• Create informative, interactive results and dashboards that provide rapid insight for development and verification, and are routinely used by partner teams.

Senior Software Engineer, Autonomy Evaluation

Program Manager

• Lead TI product development and iteration, acting as the voice of the customer by gathering feedback from end users
• Formulate the 'why' and 'how' for TI deliverables
• Deliver actionable intel for priority skills, including emerging industries, adjacent markets, and transferable skills
• Act as a strategic link between TI team and stakeholders, identifying skill gaps/opportunities
• Partner with executive leaders, TA stakeholders, Workforce Planning, Corporate Development, and HRBPs

Program Manager, Talent Intelligence

Engineering Manager

• Direct oversight of engineers building highly performant software running on our Autonomous Vehicles and supporting infrastructure
• Work with technical lead(s) to set the technical direction for the team, and anticipate strategic and scaling-related challenges
• Work with Engineering Director(s) and Technical Program Managers to create and execute on a roadmap for your team
• Drive software engineering best practices
• Conduct performance reviews, identify top performers, and support their growth into Technical Leadership or Engineering Management roles
• Foster a healthy, collaborative culture and high-output team
• Help define, build, and embody GM engineering culture and principles
• Invest heavily in recruiting by working closely with recruiters, screening candidates, and identifying opportunities for external engagement to improve the GM engineering brand