Top Entry Level Jobs

Provides financial support to the Health Services finance team, including journal preparation, month-end processing, budgeting, forecasting, reconciliations, reporting, financial analysis, and business case support. The role works closely with Finance Business Partners across multiple program areas and assists with annual acquittals and ad hoc finance tasks.

Provides technical support across computers, phones, networks, printers, mobile devices, security systems, Microsoft 365, and other IT platforms. Troubleshoots hardware, software, and connectivity issues; administers systems; maintains infrastructure security; coordinates with vendors; trains users; and documents IT processes and procedures.

Provide technical customer support for voice, API, and 911 products. Troubleshoot VoIP, SIP trunking, PBX, router, switch, LAN, and WAN issues; coordinate with carriers and customer IT teams; manage support tickets within SLAs; and escalate chronic or intermittent issues.

Designs electrical systems for industrial chemical facilities, including power distribution, schematics, wiring, equipment layouts, and control systems. Performs short-circuit, arc-flash, and power studies; sizes electrical equipment; reviews drawings and specifications; supports plant troubleshooting, turnarounds, startups, and project execution. Collaborates with clients, consultants, contractors, inspectors, and other engineering disciplines while managing project scope, budgets, schedules, and code compliance. Requires 20–25% travel.

Develops, validates, documents, and sustains manufacturing processes for optical and optomechanical hardware. Responsibilities include optical assembly and alignment methods, tooling and fixture development, metrology, process controls, yield and defect analysis, root cause correction, production readiness, supplier support, quality compliance, and technician training. The role collaborates with engineering, quality, supply chain, and program teams to improve manufacturability, reliability, cost, and production performance.

Provides hands-on technical support for counter-UAS systems through customer demonstrations, system setup, troubleshooting, repairs, equipment preparation, prototype builds, testing, and technical documentation. The role supports customers at facilities and outdoor test sites, collaborates with engineering teams, and helps establish daily operations at the Detroit facility. Travel includes approximately one week away per month, occasional international travel, and initial training in the UK.

Entry-level graduate engineering program supporting aerospace investment casting operations. Participants may work in product/process engineering, ceramics engineering, or metallurgy, with responsibilities spanning process monitoring, ceramic mold control, laboratory materials testing, troubleshooting, production support, yield improvement, and continuous improvement. The 12–24-month program includes mentorship, hands-on manufacturing experience, and cross-functional or cross-site rotations.

Own end-to-end delivery of applied AI deployments for financial-services clients, from discovery through production and sustained adoption. Lead cross-functional teams, manage priorities and risks, define product requirements, drive organizational change, measure customer value, maintain senior client relationships, and identify account expansion opportunities. Build prototypes, evaluate AI outputs, advise on technical trade-offs, and help develop reusable deployment practices.

Develop and maintain web applications and APIs using C# and ASP.NET. Write optimized SQL, integrate RESTful APIs and third-party services, deploy applications on AWS, implement OAuth authentication, use Git and code reviews, troubleshoot issues, improve performance, and collaborate with product, design, and engineering teams. Preferred experience includes CI/CD, automated testing, DevOps, Docker, microservices, distributed systems, application security, and Agile development.

Build data systems for autonomous vehicle development, including sensor-data ingestion, validation, processing, enrichment, dataset tooling, schema migrations, backfills, and workflow reliability. Collaborate with machine learning and vehicle software engineers to create datasets for model training, evaluation, and debugging. Investigate data quality and performance issues while improving autonomy data workflows.