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Pcb Design Engineer Remote Jobs in Slidell, LA (NOW HIRING)

Deloitte

System Test and Validation Lead

New Orleans, LA · On-site +1

... design specifications, and traceability matrices * Apply risk-based validation principles to assess ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

New Orleans, LA · On-site +1

... design specifications, and traceability matrices * Apply risk-based validation principles to assess ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

New Orleans, LA · On-site +1

... design specifications, and traceability matrices * Apply risk-based validation principles to assess ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Audubon

Program Manager, Mississippi River

New Orleans, LA · On-site +1

$73K - $82K/yr

A history of project design, wetlands delineation, or construction in the nature-based solutions ... Remote work within the United States may be considered only for candidates not within commuting ...

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Pcb Design Engineer Remote information

See Slidell, LA salary details

$43.8K

$96.5K

$120K

How much do pcb design engineer remote jobs pay per year?

As of Aug 13, 2026, the average yearly pay for pcb design engineer remote in Slidell, LA is $96,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $109,600.00 per year, depending on experience, location, and employer.

What does a PCB design engineer do when working remotely?

A remote PCB Design Engineer is responsible for designing, developing, and testing printed circuit boards (PCBs) while working from a remote location. Their tasks typically include creating PCB layouts using CAD software, collaborating with electrical engineers to ensure proper functionality, and preparing manufacturing documentation. Remote PCB Design Engineers communicate with team members through online tools and are expected to manage their projects independently, ensuring that designs meet technical, quality, and regulatory standards.

What are the key skills and qualifications needed to thrive as a PCB design engineer remote?

To thrive as a PCB Design Engineer (Remote), you need a solid background in electronics engineering, circuit design, and PCB layout principles, usually supported by a relevant engineering degree. Familiarity with industry-standard EDA tools such as Altium Designer, OrCAD, or Eagle, along with knowledge of IPC standards, is typically required. Strong attention to detail, problem-solving abilities, and effective remote communication skills make someone excel in this role. These skills and qualifications are crucial for ensuring reliable, manufacturable PCB designs that meet project specifications while collaborating efficiently with distributed engineering teams.

What are some common challenges faced by remote PCB design engineers, and how can they be addressed?

Remote PCB Design Engineers often encounter challenges in communication and collaboration, especially when coordinating with cross-functional teams like hardware, mechanical, and manufacturing engineers. To overcome these, it's important to use collaborative design tools, maintain clear documentation, and schedule regular virtual meetings to review design changes and resolve issues promptly. Staying proactive about time zone differences and leveraging cloud-based version control systems can also help streamline workflow and minimize miscommunication.

What job categories do people searching Pcb Design Engineer Remote jobs in Slidell, LA look for?

The top searched job categories for Pcb Design Engineer Remote jobs in Slidell, LA are:

Pcb Design Engineer Remote jobs near you

Bioinformatics Software Engineer

micro1 AI

New Orleans, LA • Remote

$80 - $110/hr

Part-time

Posted 10 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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