Ford Motor Company

Systems Engineer

• Join our dynamic and agile team pioneering Ford's EV future.
• Responsible for the 'circulatory system' of our electric passenger vehicles.
• Design the systems that regulate the temperature of the high-voltage (HV) battery, drive units, power electronics, and other components.
• Balance complex trade-offs between system performance, energy consumption, and cost to ensure peak performance in all use cases.

Thermal Systems Engineer

Designer

• Leads program surface progression of Design and surface expert evaluation, and critique sheet process
• Leads cross-system surface execution to ensure full system surface compatibility
• Confirms all program surface interfaces are "Designed-in-Context" to a coordinated data set including supplier data
• Develops and maintains a coordinated Class A surface database (i.e. Reference Manager)
• Ensures incorporation of appropriated technical, attribute and program requirements into surface whilst maintaining the design vision.
• Drives resolution of surface data issues by leading power wall and digital reviews
• Manages surface changes in SDMS (Surface Data Management system)
• Maintain program product structure and part history in Teamcenter to accurately represent evolution of design and change control
• Supports DTO Supervisor with workload distribution, and prioritization of assignments within Surfacing Team
• Facilitate program surface progression through the K-Loops. Develop and assist (mentor) Class A Surface Designers in the delivery of feasible math surfaces aligned with program milestones requirements that delivers design intent
• During the K-Loops, lead surface development pre-Discovery Complete and post-Discovery Complete lead the incorporation of technical requirements into the surface. On applicable programs, work with Production Studio post K6 to ensure Design vision is maintained through the surface verification process.

Class A Surface Design

Security Engineer

• Software Design: The role requires designing secure and scalable Identity and Access Management (IAM) solutions. This includes architecting custom systems, designing secure APIs, and defining data models to protect user identities and access policies.
• Identity & Access Management (Microsoft Entra ID): Design, implement, and manage identity solutions using Microsoft Entra ID, including user lifecycle management, group memberships, and Administrative Units, configure and maintain security features such as Multi-Factor Authentication (MFA), Passwordless authentication, and Entra ID Protection. Develop and enforce Conditional Access policies to ensure secure, least-privilege access to corporate resources.
• Programming/Coding (e.g., Python): The candidate must utilize programming skills to develop and automate security tools and platforms. Responsibilities include coding custom IAM solutions, building secure APIs, and implementing the core logic for password management applications.
• Operating Systems: A deep understanding of operating systems (e.g., Linux, Windows) is needed to harden and secure the underlying infrastructure. This involves configuring OS-level security controls and ensuring the secure deployment of IAM platforms.
• CI/CD Pipeline Management (e.g., Jenkins, GitHub): The position involves managing and securing CI/CD pipelines. The candidate will integrate automated security testing into the development lifecycle to ensure code is secure from development to deployment (DevSecOps).
• Version Control (e.g., GitHub): The candidate will use version control systems to manage codebase changes for security applications and enforce best practices like code reviews and branch protection to maintain code integrity.
• Cloud Computing (e.g., Azure): The role requires leveraging cloud platforms like Azure to build, deploy, and manage secure IAM solutions. Experience should include configuring cloud identity services (e.g., Azure AD) and managing cloud infrastructure security.
• Databases (e.g., SQL, MongoDB): The candidate must have experience with various databases to securely store and manage sensitive user identity and access data. Responsibilities include designing secure database schemas and protecting encrypted user credentials.
• Responsible for enterprise identity provisioning and enterprise directory and Azure Active directory data management in the Security Service Department.
• Provide critical 7x24 support of Enterprise Identity & Access Management
• Release engineering, provisioning and maintenance of infrastructure, system administration and security.
• Incident, Knowledge, Problem, JIRA and Change Management
• Maintain & test DR document, and perform backup and disaster recovery procedures
• Maintain documentation of all Operations administrative processes, procedures, and configurations.
• Interact with team members to improve tools, technology stack, and application performance and stability.
• Resolve operational concerns through collaboration with customers, engineering SMEs, and product vendors.
• Propose, configure, and implement enterprise solutions (covering both process and technical aspects) according to established standards and best practices
• Lead the design, implementation, integration, and maintenance of software, technical infrastructure, and services (all aspects of the technology lifecycle)
• Develop implementation requirements for technical infrastructure and services
• Develops project charters and/or project requirements (cost, timing, scope, contingency, and risks)
• Develop support and deployment plans for technical infrastructure and services
• Automate server related maintenance tasks
• Collaborate closely with customers, engineering SMEs, and product vendors to resolve issues.
• Deploy product updates, identifying production issues and implementing integrations that meet customer needs.

Identity Security Engineer

Engineer

• Collaborate with stakeholders to gather and analyze requirements for build system enhancements.
• Drive architectural decisions for build system improvements.
• Design and implement solutions to improve build reproducibility, reliability and efficiency.
• Develop and maintain build automation tools and scripts.
• Manage and maintain build infrastructure, ensuring high availability and performance.
• Implement and maintain build security practices, including artifact signing and vulnerability scanning.
• Ensure compliance with automotive industry standards and regulatory requirements.
• Document build processes, configurations, and architectural decisions.
• Provide support for build-related issues and incidents.
• Conduct regular reviews of build system architecture and recommend enhancements.
• Establish and maintain build metrics and KPIs.
• Optimize build performance and implement monitoring and alerting systems.
• Manage relationships with third-party vendors and oversee code integration processes.
• Drive adoption of best practices across development teams.
• Provide technical leadership and mentoring to junior team members.

Staff Build Engineer

Analyst

• Create, enhance, and tune curated and custom SIEM/EDR threat detections
• Develop and implement in Python SOAR orchestration to integrate logs, events, data feeds, execute Incident Response actions, etc.
• Partner with IT Operations teams for current and future log source ingestion and parsing into SIEM and SOAR environments
• Technical project management for software upgrades and maintenance using the AGILE framework
• Engineer and deploy sophisticated security detection solutions, including the creation of agentic AI to assist in security incident triage and remediation, leveraging expertise in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), while ensuring adherence to and implementation of Model Context Protocol (MCP) for secure and reliable model operations.

Cyber Automation Analyst

• Oversee Odyssey product structure and data throughout the program lifecycle.
• Upload MDX data and optimize qualifiers to ensure perfect vehicle-to-system mapping.
• Design and develop global diagnostic service functions for Dealers and Customers.
• Implement Module DIDs to support datalogger solutions.
• Monitor IVS to ensure MDX/Network topology availability and provide critical status updates for DSP and New Program Planning.
• Interpret and manage CAN data (ISO 14229 / UDS standards) to support application development, debugging, and system validation.
• Partner with module suppliers to ensure service functions are implemented correctly and meet all technical requirements.
• Validate solutions through both simulation and on-vehicle testing. Respond to field issues with urgency and document modifications using Rally.

MDX Diagnostics Engineer

Customer Support

• Give accurate information to customers, who turn to you for general help about the product, understand and investigates root causes of customer inquiries
• Review and clarification of inconsistent information in the parts ordering systems concerning availability and delivery timing using information in supply chain and other systems.
• Handling of Down Time Alerts (DTA). Review of options and further escalation to central team according to defined processes
• Assists supervisor/manager with the management of daily activities over a group of agents, representatives, or similar positions that handle customer service inquiries and problems via e-mail and sometimes webex.
• Follow-up the cases and handle escalated and unresolved cases
• Handle user requests of the products
• Recognizes and recommends areas needing improvement. May assist in scheduling and coordinating team activities.

Customer Service Analyst

AI Engineer

• Architect, build, and deploy autonomous AI agents using state-of-the-art frameworks like ADK (Agentic Design Kit) and LangGraph that leverage LLMs to automate code reviews, quality analysis, and development workflow optimization at scale
• Design sophisticated context engineering strategies including dynamic context assembly, agentic retrieval patterns, memory systems (episodic and working memory), and multi-hop reasoning pipelines for complex code analysis tasks
• Build intelligent backend services in Python and Java that leverage GenAI to detect anti-patterns, suggest improvements, and standardize development workflows
• Define and implement coding standards and best practices specifically for GenAI systems, including LLM evaluation metrics, guardrails, and responsible AI principles
• Conduct comprehensive code reviews using state-of-the-art GenAI tools and agents, providing architectural guidance on performance, security, and AI system design
• Stay current with rapidly evolving GenAI technologies and integrate cutting-edge capabilities into production systems
• Coach engineers on GenAI best practices, AI agent design patterns, prompt engineering, and responsible AI development
• Partner with product owners, architects, security teams, and stakeholders to ensure AI solutions align with quality standards and business objectives

Senior AI Engineer

Data Scientist

• Design NLP/LLM/GenAI applications/products by following robust coding practices.
• Explore SoTA models/techniques so that they can be applied for automotive industry usecases.
• Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions.
• Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools.
• Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.).
• Converge multibots into super apps using LLMs with multimodalities.
• Develop agentic workflow using Autogen, Agentbuilder, langgraph.
• Build modular AI/ML products that could be consumed at scale.

Data Science, Gen AI Specialist

Machine Learning Engineer

• Provide expert technical guidance and mentorship to data scientists & software engineers in the product team.
• Lead, mentor, and develop a high-performing team, fostering best practices in software development and data science.
• Contribute to the development and implementation of the team's innovation strategy, focusing on new product development and process improvement.
• Lead engagement with internal business partners to translate business requirements into data & analytical problem formulations.
• Clearly and concisely communicate technical information to both technical and non-technical audiences.

Machine Learning Manager – Design Cost Analytics

Data Analyst

• Lead, mentor, a team of AI engineers, fostering a collaborative and innovative environment.
• Provide technical guidance and oversight throughout the AI solution development lifecycle.
• Drive best practices in MLOps, model development, testing, and deployment.
• Stay abreast of the latest advancements in AI/ML and recommend their application to relevant business challenges.
• Design, build, and deploy end-to-end AI/ML models and systems that address critical after-sales service needs.
• Develop robust, scalable, and production-ready code for AI applications.
• Perform data exploration, feature engineering, model training, evaluation, and optimization.
• Integrate AI solutions with existing enterprise systems and data pipelines.
• Collaborate closely with product managers, data scientists, business stakeholders, and IT teams to understand requirements, define project scope, and deliver impactful AI solutions.
• Translate complex business problems into well-defined AI/ML technical requirements and architectural designs.
• Identify opportunities to leverage AI to improve efficiency, reduce costs, and enhance customer satisfaction in after-sales service.
• Debug and troubleshoot complex AI systems and data issues.

Analytics Manager

Sales

• Work directly with our Dealer Network to influence, develop and implement retail sales strategies
• Build strong consultative skills and contribute to the success of innovative programs
• Serve as a trusted corporate advisor to a select Dealer Network, providing insights and best practices
• Use data analytics to assess dealer sales and overall performance against company benchmarks
• Identify trends, guide sales forecasting, and help develop action plans for business growth
• Assist in designing and implementing corporate initiatives that enhance dealer profitability, operational efficiency, and customer loyalty
• Help guide dealerships in streamlining their operations and improving overall customer experience
• Build strong, collaborative relationships with Dealers.

Sales & Ownership Zone Manager

Program Manager

• Lead the development of future Ranger Super Duty programs to define new products and continue expanding into new markets.
• Collaborate with multiple stakeholders—markets, finance, and engineering—to shape future growth and maximise value across both new and existing markets.
• Lead the team responsible for program change requests, program timing, and costing to inform the T6 (Ranger & Everest) Cycle Plan.
• Report directly to the Ford Racing and Ranger Super Duty Senior Manager.

Ranger Super Duty Program Manager

Business Analyst

• As the Senior Salesforce Business Analyst, you will serve as the primary bridge between our International Markets Group (IMG) business operations which includes but not limited to: Australia, New Zealand, South Africa and Thailand.
• In this role, you will own the end-to-end functional design for key initiatives (beyond gathering requirements), collaborating with the Tech Lead and Developers to speed time-to-market, and provide internal and external mentorship to ensure high-quality delivery.
• This position reports directly to the Technical Product Manager, Salesforce Service and is based at our IMG Product Development site in Broadmeadows, operating on a hybrid schedule with four days in the office.

Senior Business Analyst, Salesforce

Backend Engineer

• Participate in and/or lead the development of requirements, features, user stories, use cases, and test cases. Participate in stand-up operations meetings.
• Author: Process, Technical Design and Support Documents.
• Collaborate with the broader FPI Telematics team on solution designs, development, and deployment.
• Participate and/or lead incident, problem, change and service request-related activities. Includes root cause analysis (RCA). Includes proactive problem management/defect prevention activities.
• Delivery of products that include Spring/Cloud services that support processing and storing telematics information while providing a secure set of APIs accessible to customers.