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Embedded Engineer Jobs in Boca Raton, FL (NOW HIRING)

Hotwire Communications

Senior AI Engineer

Fort Lauderdale, FL · On-site

$116K - $153K/yr

As a Senior AI Engineer , you will be the technical engine behind every AI implementation the ... You'll partner closely with the Director of AI Implementation and AI Champions embedded in each ...

Material Bank

Senior Data & AI Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

This role sits at the intersection of data engineering, applied AI, and platform innovation, with the opportunity to shape how AI is embedded into the core of our business and customer experience.

WSP

Senior Mechanical Engineer

Sunrise, FL · On-site

$97K - $129K/yr

Our work is embedded in the residences we live in, the healthcare facilities we rely on for routine ... Engineer in Training Certification. * Project experience with buildings from the design phase ...

WSP

Senior Mechanical Engineer

Sunrise, FL

$97K - $129K/yr

Our work is embedded in the residences we live in, the healthcare facilities we rely on for routine ... Engineer in Training Certification. * Project experience with buildings from the design phase ...

Ford Motor Company

Product Design Engineer

Sunrise, FL · Hybrid

$68K - $114K/yr

Bachelors of Science in Electrical Engineering or Computer Engineering. * 1+ years of basic knowledge of Hardware and Embedded Software systems. * 1+ years of knowledge on microprocessors, solid ...

Ford Motor Company

Product Design Engineer

Sunrise, FL · On-site

$68K - $114K/yr

Bachelors of Science in Electrical Engineering or Computer Engineering. * 1+ years of basic knowledge of Hardware and Embedded Software systems. * 1+ years of knowledge on microprocessors, solid ...

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All JobsEmbedded Engineer JobsEmbedded Engineer Jobs in Boca Raton, FL

Embedded Engineer information

See Boca Raton, FL salary details

$66.4K

$145.6K

$165.1K

How much do embedded engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for embedded engineer in Boca Raton, FL is $145,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,800.00 and $164,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, electrical, or systems engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in industries like technology, aerospace, or finance, and may include bonuses, stock options, or profit sharing.

What engineers make $300,000 a year?

Senior embedded engineers with extensive experience, specialized skills in hardware and software integration, and often advanced certifications can earn $300,000 or more annually. High compensation is typically associated with leadership roles, working in high-demand industries like aerospace or defense, or in companies with competitive pay structures.

What is the difference between Embedded Engineer vs Firmware Engineer?

AspectEmbedded EngineerFirmware Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related fields; certifications like ARM or IoT certifications are commonBachelor's in Computer Engineering, Electrical Engineering, or related; often similar certifications in embedded systems or firmware development
Work EnvironmentDesigning and developing hardware-software integrated systems, often in industrial, automotive, or consumer electronicsWriting, testing, and debugging low-level code that runs directly on hardware devices like microcontrollers or embedded processors
Employer & Industry UsageElectronics manufacturers, automotive, aerospace, IoT companiesConsumer electronics, IoT devices, medical devices, automotive systems

Embedded Engineers and Firmware Engineers often work closely, but Embedded Engineers focus on both hardware and software integration, while Firmware Engineers specialize in low-level code development that runs directly on hardware. Both roles require similar skills and certifications, but their primary focus and work environment differ slightly.

What does an embedded engineer do?

An embedded engineer designs, develops, and tests software and hardware for embedded systems, which are specialized computing devices within larger systems such as appliances, vehicles, or industrial machines. They work with microcontrollers, real-time operating systems, and programming languages like C or C++, often collaborating with hardware engineers to ensure system functionality and reliability.

What are the key skills and qualifications needed to thrive as an Embedded Engineer, and why are they important?

To thrive as an Embedded Engineer, you need a solid background in computer science or electrical engineering, with strong skills in C/C++, microcontroller programming, and embedded systems design. Familiarity with real-time operating systems (RTOS), hardware debugging tools, and version control systems like Git is typically required, and certifications such as Certified Embedded Systems Engineer (CESE) can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this field. These competencies are crucial for developing reliable, efficient embedded solutions that integrate seamlessly with hardware and meet user requirements.

What are some common challenges faced by Embedded Engineers when working on cross-functional teams?

Embedded Engineers often collaborate closely with hardware designers, software developers, and test engineers, which can present challenges related to communication and integration. Aligning the firmware with hardware specifications, managing resource constraints, and ensuring timely debugging across different platforms are frequent hurdles. To succeed, Embedded Engineers need strong communication skills and a collaborative mindset to bridge gaps between disciplines and deliver cohesive, reliable systems.

Will an embedded engineer be replaced by AI?

Embedded engineers design and develop software and hardware for embedded systems, and while AI can automate certain tasks like testing and data analysis, it is unlikely to fully replace the need for human engineers who require specialized knowledge of hardware, real-time constraints, and system integration. AI tools can augment their work but do not currently replace the critical thinking and problem-solving skills essential to the role.
What are the most commonly searched types of Embedded Engineer jobs in Boca Raton, FL? The most popular types of Embedded Engineer jobs in Boca Raton, FL are:
What are popular job titles related to Embedded Engineer jobs in Boca Raton, FL? For Embedded Engineer jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Embedded Engineer jobs in Boca Raton, FL look for? The top searched job categories for Embedded Engineer jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Embedded Engineer jobs? Cities near Boca Raton, FL with the most Embedded Engineer job openings:
Embedded Engineer jobs near you
Infographic showing various Embedded Engineer job openings in Boca Raton, FL as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.
AI Engineer

AI Engineer

Hotwire Communications Ltd

Fort Lauderdale, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Hotwire Communications rating

8.3

Company rating: 8.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

11th of 82 rated telecommunications companies

Job description

As an AI Engineer, you will be the technical engine behind every AI implementation the company runs, setting up the models, building the safety and reliability infrastructure, and establishing the engineering standards that every future AI project will inherit.
This is a greenfield role with high ownership. You will be designing and building the foundational AI platform that Hotwire's business units depend on. You'll partner closely with the Director of AI Implementation and AI Champions embedded in each business unit, translating validated workflow proposals into production-grade AI solutions.
Duties / Responsibilities:
  • Design and build the core AI platform that connects Hotwire's business applications, data sources, and AI models into reliable, production-grade pipelines
  • Own the model deployment layer, configure, version, and maintain LLM endpoints across Azure OpenAI and/or AWS Bedrock with environment isolation (dev / staging / prod)
  • Implement a model abstraction layer (e.g., LiteLLM) to ensure portability across model providers and avoid hard vendor lock-in
  • Build and maintain an internal AI SDK / shared libraries so that future engineers and CoE projects can bootstrap quickly without reinventing plumbing
  • Own infrastructure-as-code and CI/CD pipelines for AI services Other duties as required or assigned.
  • Actively participate in Steering Committee reviews, translating technical risk and feasibility into language business leaders understand
  • Build and enforce input/output security controls for every AI-facing endpoint:
  • PII detection and redaction before data reaches external model APIs
  • Prompt injection detection, pattern-based and embedding-based classifiers
  • Content policy filtering and output moderation for customer-facing AI surfaces
  • Role-based access control to AI capabilities across business units
  • Partner with IT Security and Compliance to ensure every AI deployment meets Hotwire's data residency, encryption, and access audit requirements
  • Maintain a centralized secrets management approach for API keys, model credentials, and third-party integration tokens
  • Implement an LLM evaluation framework that every CoE project must pass before production promotion
  • LLM-as-judge pipelines for automated output quality scoring
  • Regression test suits that protect against model drift when providers update underlying models
  • Semantic similarity and coherence metrics for RAG-based applications
  • Golden dataset management and versioning for reproducible evals
  • Own the eval harness integration into CI/CD, no model change ships without passing eval thresholds
  • Track and report quality metrics to the Director and Steering Committee as part of the AI implementation lifecycle
  • Build operational safety infrastructure around AI services:
  • Rate limiting and token-budget enforcement per business unit and use case
  • Circuit breakers to prevent downstream cascades when model APIs degrade
  • Iteration caps and wall-clock timeouts on agentic workflows
  • Async queue management and retry logic for high-volume pipelines
  • Configure private endpoints and VNet integration for model APIs to keep data off public internet paths
  • Implement cost allocation and spend controls so that per-department AI usage is visible and accountable
  • Set up comprehensive tracing and monitoring across all AI services using tools such as LangSmith, LangFuse, or equivalent
  • Build dashboards that surface latency, error rates, token consumption, quality scores, and cost per workflow, visible to both engineering and business stakeholders
  • Establish alerting thresholds and on-call runbooks for AI service degradation
  • Maintain audit logs of all model inputs and outputs for compliance review
  • Serve as the technical reviewer for AI workflow proposals coming from business unit AI Champions before they reach the Steering Committee
  • Write engineering standards, integration patterns, and runbooks that AI Champions and future engineers can follow
  • Contribute to vendor evaluations, help assess new AI tooling, model releases, and platform options
  • Other duties as required or assigned by supervisor.

Minimum Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
  • 2-4 years building and operating production LLM applications, not prototypes, not demos, production systems with real users and real SLAs
  • 4 years of software engineering experience with a strong bias toward system design and production-grade architecture
  • Expert-level Python, you write clean, tested, maintainable Python, not just scripts
  • Deep understanding of API design, microservices patterns, async programming, and distributed system fundamentals
  • Hands-on experience with CI/CD pipelines, containerization (Docker), and cloud-native deployment
  • Strong debugging instincts, you can trace a failure from a user-facing symptom down to a model API edge case
  • Experience deploying and managing LLMs on enterprise cloud platforms: Azure OpenAI Service or AWS Bedrock

Benefits:
We truly appreciate and value all our employees and show our appreciation by offering a wide range of benefits, including:
  • Comprehensive Healthcare/Dental/Vision Plans
  • 401K Retirement Plan with Company Match
  • Paid Vacation, Sick Time, and Additional Holidays (including your Birthday!)
  • Paid Volunteer Time
  • Paid Parental Leave
  • Hotwire Service Discounts - for employees who live on a property serviced by Hotwire. Discounted service offerings are provided for high-speed internet, video service, phone, and security service
  • Employee Referral Bonuses
  • Exclusive Entertainment Discounts/Perks

Hotwire provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#LI-MC1
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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