Engineering Jobs Remote Jobs in Florida
2 positions found
We’re expanding into a full 24/7 operation and are hiring across multiple roles and experience levels. Our 12‑hour overnight shift is ideal for someone who enjoys a more independent work environment with more days off each week. You’ll benefit from premium shift differentials, cross‑training opportunities, and the chance to shape processes on a growing team. If you’re someone who prefers working nights or wants to maximize earning potential while enjoying a schedule with fewer total days giving you additional full days off during the week to spend with family, pursue hobbies, or rest, this could be a great fit for you.
Currently hiring Technicians for the below shifts.
Note: Based on the 2-week rotating shift pattern, employees will be scheduled to work 36 hours one week, and 48 hours on the alternate week. In this alternate week, employees will be receiving 8 hours of overtime, resulting in 16 hours of overtime pay in a month.
Shift A– 6pm to 6am 15% shift differential pay
Week 1: Tuesday, Thursday, and Friday
Week 2: Monday, Wednesday, Saturday and Sunday
Shift B – 6pm to 6am 15% shift differential pay
Week 1: Monday, Wednesday, Saturday and Sunday
Week 2: Tuesday, Thursday, and Friday
Shift D – 6pm to 6am 15% shift differential pay
Week 1: Tuesday, Thursday, and Friday
Week 2: Monday, Wednesday, Saturday and Sunday
How will you make an impact!
In this key Manufacturing Engineer Technician onsite role, you will perform preventative maintenance, calibration, change overs in Z-prep area and perform preventive maintenance for tooling (SMT & BE process) and other specialty support equipment used in the manufacturing process.
Location: This role will be based on-site at one of our St. Petersburg Florida Facilities located in Seminole, FL specializing in Renewable Energy
What will you do?
Key Responsibilities
- Operate, monitor, and adjust SMT equipment while ensuring high quality and process stability.
- Perform setups, changeovers, and material verification for each process step.
- Conduct preventive and corrective maintenance on:
- Laser marking systems
- Glue dispensing machines (CAMALOT)
- Screen printers (DEK)
- SPI systems (KOH YOUNG)
- Pick & place machines (FUJI NXT, AIM)
- Reflow ovens (ITW/VITRONIC)
- Troubleshoot and resolve process issues related to solder paste printing, component placement, inspection, and reflow profiling.
- Create, modify, and optimize SMT programs (FUJI, CAMALOT, DEK, etc.).
- Document downtime, maintenance activities, root cause analysis, and improvements.
- Collaborate with Engineering, Quality, and Production to improve OEE, yields, CP/CPK, and reduce rework.
- Ensure compliance with safety standards, ESD controls, and manufacturing best practices.
- Cover overtime requirements as needed.
How will you get here?
Education and Experience:
- Electronics Industry Experience
- High School Diploma or GED preferred not required or equivalent - experience.
- Six months of demonstrated experience, ideally 2 plus years.
- Must have experience with at least one of the below:
- Laser marking systems
- Glue dispensing machines (CAMALOT)
- Screen printers (DEK)
- SPI systems (KOH YOUNG)
- Pick & place machines (FUJI NXT, AIM)
- Reflow ovens (ITW/VITRONIC)
Why Join Jabil?
- Be part of a mission-critical team supporting Renewable Energy innovation.
- Gain hands-on experience with high-precision, advanced technologies.
- Work in a culture focused on quality, safety, and continuous improvement.
- Competitive compensation and a comprehensive benefits package.
Remote working/work at home options are available for this role.
Local to Tampa FL Candidate only apply
Client is advancing a new generation of AI-driven systems—secure, adaptive platforms that learn continuously to enhance decision-making and client outcomes. As a Lead Project Manager, you'll oversee high-impact initiatives that bring these agentic AI capabilities to life across the firm. The work is complex, fast-paced, and deeply rewarding—shaping the future of how intelligence flows and decisions are made enterprise-wide.
You'll partner with engineering, data science, and business leaders to drive delivery of AI platforms, frameworks, and products that transform how advisors and associates work. This is a leadership role for someone who thrives on solving difficult problems, managing ambiguity, and turning breakthrough ideas into scalable, production-grade solutions.
Key Responsibilities
Program Leadership: Manage multiple enterprise-scale AI initiatives from concept through implementation—defining strategy, scope, and success metrics that align with firm objectives.
Execution Excellence: Build and maintain detailed project plans, budgets, and work breakdown structures that balance speed, quality, and compliance.
Stakeholder Alignment: Partner across technology, data governance, and business units to ensure clear communication, accountability, and timely decision-making.
Risk and Change Management: Anticipate and mitigate delivery risks, manage dependencies, and ensure traceable governance for AI and automation initiatives.
AI Integration: Collaborate with technical leads to translate technical milestones into actionable project deliverables.
Continuous Improvement: Drive best practices in agile delivery, metrics, and post-implementation evaluation to ensure ongoing learning and refinement.
Skills: Demonstrated success leading large, complex technology projects—preferably involving AI, analytics, or intelligent automation.
Experience working through ambiguity to structure and manage work with accountability.
Expertise in project and portfolio management including planning, forecasting, risk management, and stakeholder reporting.
Strong understanding of software development lifecycles, agile delivery, and enterprise technology environments.
Excellent communication, negotiation, and decision-making skills; capable of bridging business and technical domains.
PMP or equivalent certification highly preferred.
Keywords:
Education: 5+ years of progressive experience in project or program management, with exposure to AI, data, or technology-driven transformation initiatives.
Remote working/work at home options are available for this role.
