Top Tech Jobs & Startup Jobs

Manage enterprise data-use requests and privacy reviews while supporting data governance, security, access management, and regulatory compliance. Analyze data using BigQuery, Alteryx, R, Python, SQL, PostgreSQL, and MongoDB. Collaborate with legal, business, security, risk, and technology stakeholders to implement privacy safeguards, support GDPR and CCPA audits, improve governance processes, and ensure responsible data use across Ford.

Design and govern Ford’s product-centric data platform architecture on GCP. Lead streaming pipelines, APIs, schema governance, data modeling, infrastructure-as-code, CI/CD, containerized services, and reusable developer frameworks. Establish technical roadmaps and architectural standards while mentoring data engineering teams and improving developer experience. The role requires extensive experience with cloud data platforms, Python, SQL, Java or Go, streaming technologies, Spark, Airflow, Terraform, and container orchestration.

Develop and validate occupant safety CAE models in LS-DYNA across frontal, side, rear, pedestrian, roof-strength, and low-speed impact scenarios. Collaborate with vehicle safety, design, suppliers, and component teams to correlate models, conduct DOE/DFSS optimization studies, assess occupant performance, and optimize safety components including airbags, seat belts, seats, steering columns, and interiors. Support vehicle architecture development, design reviews, simulation quality procedures, and production launch.

Lead marketing and product strategy for a next-generation Lincoln vehicle, guiding lifecycle planning from concept through launch readiness. Translate customer insights, competitive intelligence, and financial objectives into portfolio, positioning, pricing, offering, and business-case recommendations. Collaborate across Design, Engineering, Finance, Manufacturing, Program Management, Brand Marketing, Communications, and Sales while presenting executive-ready decisions that improve customer value, margin, and return on investment.

Design and validate high-speed digital circuitry and subsection layouts for vehicle modules. Create schematics and documentation, perform worst-case and failure-mode analysis, define stress tests, validate performance across temperature/voltage extremes, troubleshoot root causes, and collaborate with software, mechanical, manufacturing teams and suppliers. Occasional travel required.

Develop and integrate embedded software for Ford’s next-generation electric vehicle infotainment platform. Responsibilities include designing complex features, collaborating with hardware and systems teams, creating diagnostic tooling and interfaces, integrating controller code, developing functional tests, troubleshooting embedded systems, and analyzing field data. The role requires expertise in C, C++, Python, RTOS, Linux, concurrent systems, and automotive networking, with opportunities to lead cross-functional technical efforts.

Develop and integrate electrical hardware systems and architectures for electric vehicles. Responsibilities include hands-on component bring-up, lab and vehicle testing, hardware debugging, prototype assembly, supplier deliverable review, integration test execution, electrical validation, and requirements traceability in JAMA. The role collaborates across engineering teams and requires work in labs, vehicles, and manufacturing environments, with occasional travel.

Develop and validate model-based embedded software for ADAS features. Responsibilities include MATLAB/Simulink model and code implementation, model reviews, code generation, static analysis, MIL/SIL testing, AUTOSAR RTE configuration, Classic AUTOSAR component integration, sensor and system performance analysis, calibration tuning, and software signoff. The role is hybrid in Dearborn, Michigan.

Designs, deploys, and optimizes machine learning solutions for large-scale data platforms, including identity resolution, anomaly detection, data quality, predictive modeling, and Generative AI applications. Leads data science research and platform improvements, manages ingestion and transformation into BigQuery, analyzes pipeline performance, and performs root-cause investigations. Partners with engineers, architects, privacy, product, and global stakeholders while mentoring team members and translating business needs into technical specifications.

Develop and optimize casting and forging processes for crankshafts, including rough-part design, die design, fill and pressure simulation, failure analysis, and manufacturability improvements. Collaborate with machining, product development, suppliers, research labs, and technology partners to deliver powertrain programs. Lead process implementation, benchmarking, statistical analysis, and investment-efficiency initiatives while mentoring manufacturing and design engineers.