Top Tech Jobs & Startup Jobs

Lead mechatronic feature definition from concept through system sign-off and physical prototype realization. Responsibilities include stakeholder and use-case elicitation, system architecture, behavioral modeling, requirements engineering, functional safety and DFMEA analysis, traceability, cross-validation, prototype oversight, test planning, and cross-functional technical leadership.

Lead quality improvement for vehicle infotainment, audio, cluster, and connectivity systems. Analyze quality metrics, customer claims, diagnostic logs, telematics and cloud data using Python and SQL. Conduct root-cause and Pareto analysis, review code and logs, coordinate with software, firmware, mobile app, and cloud teams, manage defect tracking, present findings, and drive resolution of customer-impacting issues.

Lead end-to-end data analysis, including problem formulation, statistical modeling, evaluation, deployment, reporting, and insight generation. Partner with data scientists, business owners, database developers, and strategy teams to improve operational effectiveness. Develop metrics and performance reports, resolve data quality issues, apply A/B testing and segmentation, and recommend process improvements using SQL, statistical methods, and visualization tools.

Leads manufacturing engineering and continuous improvement initiatives at Ford’s Windsor Engine Plant. Responsibilities include optimizing machining and assembly processes, improving safety, quality, productivity, and throughput, managing quality investigations and engineering changes, commissioning new equipment, overseeing capital projects, supporting prototype programs, and applying Six Sigma, lean manufacturing, APQP, and process control methods. The role also involves production support, audits, training, supplier coordination, and compliance with corporate and environmental standards.

Supports Ford automotive safety investigations involving potential safety defects and regulatory non-compliance. Evaluates vehicle and hardware concerns, coordinates root-cause investigations and special testing, collaborates with engineering, manufacturing, suppliers, customer service, and legal teams, and prepares technical reports, presentations, regulatory documentation, dashboards, and investigation records. The role requires analytical problem-solving, technical writing, knowledge of vehicle systems, and cross-functional coordination.

Support development, integration, validation, and production launch of the Mustang GTD 5.2L powertrain. Coordinate across engine, transmission, controls, vehicle, manufacturing, and supplier teams to meet quality, performance, cost, weight, and timing targets. Lead issue investigations, prototype builds, testing, and production implementation while tracking deliverables and presenting technical updates.

Owns the vision, strategy, roadmap, and delivery of payments products and features. Translates customer, business, and technical needs into product requirements, partners with engineering and design in Agile/Scrum processes, defines success metrics, analyzes product performance, conducts market research, manages risks and dependencies, and communicates plans and outcomes to stakeholders.

Design and implement air-charge estimation and turbo/boost control algorithms in PCM using C. Validate control software via unit tests, SIL/MIL/HIL, and plant models. Troubleshoot air-path diagnostics, maintain documentation and calibration artifacts, and lead control system planning and program management across vehicle programs to meet functional, emissions, performance, and safety requirements.

Manage and optimize large-scale PostgreSQL, MongoDB, and Redis environments, including high availability, performance tuning, backups, migrations, and recovery. Use Dynatrace for observability, alerting, root-cause analysis, and capacity planning. Automate infrastructure provisioning, database deployments, maintenance, failover, and self-healing using Terraform, Ansible, Python, Bash, or Go. Collaborate with development, infrastructure, and security teams while supporting containerized and cloud-native database platforms.

Designs AI-driven analytics products and service experiences from research through high-fidelity prototypes and implementation. Responsibilities include user research, service blueprints, data visualization, AI-agent workflows, interactive prototyping, multimedia storytelling, and cross-functional collaboration with product, engineering, data science, and business teams. The role requires translating complex systems into intuitive experiences, integrating AI agents and data sources, and iterating designs using usage data and customer feedback.