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Remote Computer Chip Engineer Jobs in Juno Beach, FL

DataAnnotation

QA Engineer - AI Trainer

West Palm Beach, FL · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... You work on your own schedule, on your own computer, from the comfort of your own home * Projects ...

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All JobsComputer Chip Engineer JobsRemote Computer Chip Engineer JobsRemote Computer Chip Engineer Jobs in Juno Beach, FL

Remote Computer Chip Engineer information

See Juno Beach, FL salary details

$47.4K

$118.8K

$134.4K

How much do remote computer chip engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote computer chip engineer in Juno Beach, FL is $118,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $128,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Computer Chip Engineer, and why are they important?

To thrive as a Remote Computer Chip Engineer, you need a strong background in electrical engineering, digital/analog circuit design, and semiconductor fundamentals, typically supported by a relevant degree. Familiarity with CAD tools like Cadence or Synopsys, experience with HDL languages (such as Verilog or VHDL), and knowledge of simulation and verification systems are essential. Excellent problem-solving, self-motivation, and effective remote communication skills set top engineers apart in virtual teams. These competencies ensure high-quality chip development, efficient collaboration, and successful project delivery in a remote work environment.

What does a Remote Computer Chip Engineer do?

A Remote Computer Chip Engineer designs, develops, tests, and optimizes microchips and integrated circuits while working from a remote location. They use specialized software tools to create blueprints, simulate chip behavior, and collaborate with other engineers online. Their work is crucial in developing faster, more efficient processors and electronic devices. By working remotely, they leverage digital communication and project management tools to coordinate with teams around the world.

What are some common challenges faced by Remote Computer Chip Engineers, and how can they be addressed?

Remote Computer Chip Engineers often face challenges related to effective collaboration, particularly when working across different time zones or with team members in various locations. Communication about design updates, debugging, and hardware testing can require extra coordination. To address these issues, teams typically use robust project management tools, regular video meetings, and clear documentation practices. Establishing strong communication channels and proactively sharing progress help ensure everyone stays aligned and projects move forward efficiently.
What cities near Juno Beach, FL are hiring for Remote Computer Chip Engineer jobs? Cities near Juno Beach, FL with the most Remote Computer Chip Engineer job openings:
Remote Computer Chip Engineer jobs near you
AI Engineer (remote option)

AI Engineer (remote option)

Vitaver & Associates, Inc.

North Palm Beach, FL • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

14440 – AI Engineer (remote option) – Juno Beach, FL
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12 months with possible extensions
Work Setting: Onsite preferred; remote considered for highly qualified candidates
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Required:
• Experience in software engineering, AI engineering, or related roles (3–5+ years)
• Experience with Python
• Experience building and shipping production software systems
• Full-stack development experience (frontend and backend)
• Experience with cloud platforms (AWS, Azure, or GCP) and modern cloud architectures
• DevOps experience, including CI/CD pipelines, containerization, and deployment automation
• Experience designing and consuming APIs following industry best practices
• Experience with source control and collaboration tools (e.g., GitHub)
• Experience with GenAI
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field from an ABET-accredited program
Preferred:
• Experience building LLM-powered applications
• Experience with agentic or orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or similar)
• Experience with the energy sector, utilities, or industrial systems
Responsibilities:
• Design and deliver generative AI applications that address real operational and business challenges, from concept through production
• Translate business requirements into GenAI system architectures, selecting appropriate models, tools, and integration patterns
• Build and maintain full-stack applications, including LLM-powered tools, internal platforms, and APIs
• Implement LLM integrations using approaches such as RAG, prompt engineering, tool calling, and API-based workflows
• Balance rapid experimentation with enterprise-grade reliability, security, and governance
• Apply DevOps best practices to support CI/CD, monitoring, and scalable cloud deployments
• Collaborate with engineering, IT, and business stakeholders while owning technical execution independently
Why apply?
• Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company;
• Work with a great team of professionals and learn newest technologies and approaches;
• Enjoy our Client’s wonderful campus with top-notch facilities for work and recreation;
• Benefit from multiple projects extensions;
• Receive support and advice from Vitaver consultants who are already working at our Client’s site;
• Get extra cash by participating in Vitaver Successful Completion Bonus Program;
• Always get paid in full and on time.