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Contract Firmware Engineer Remote Jobs in Missouri

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location ... United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and ...

ArchKey Solutions

Senior Design Engineer

Fenton, MO · On-site +1

SENIOR DESIGN ENGINEER This position is based out of our Fenton, MO office or fully remote. About ... Consult with vendors and review project shop drawings for design accuracy and contract requirements.

ArchKey Solutions

Senior Design Engineer

Fenton, MO · On-site +1

SENIOR DESIGN ENGINEER This position is based out of our Fenton, MO office or fully remote. About ... Consult with vendors and review project shop drawings for design accuracy and contract requirements.

ArchKey Solutions LLC

Senior Design Engineer

Fenton, MO · On-site +1

... remote. About ArchKey ArchKey is one of the nation's largest privately held specialty trade ... Works with the project team to develop engineered construction installation drawings from contract ...

Jobgether

$81K - $111K/yr

Our partner is looking for a Senior Data Engineer (Snowflake) based in Netherlands. This is a ... contract opportunity within a rapidly scaling, technology-focused environment. * Remote-first ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

The Timberline Group

SOFTWARE ENGINEER

Saint Louis, MO · On-site +1

Proactively engage with more senior developers for help. Specific Skills may include * Custom ... Remote in the USA Only * Contract-to-Hire 3-6 months * Must be US-Citizen or Green-Card only * Will ...

The Timberline Group

SR. SOFTWARE ENGINEER

Saint Louis, MO · On-site +1

$119K - $157K/yr

Leadership * Coach less senior Software Engineers in processes, techniques and problem solving ... Remote in the USA Only * Contract-to-Hire 3-6 months * Must be US-Citizen or Green-Card only * Will ...

Parsons

Principal Roadway Engineer

Kansas City, MO · On-site +1

$103K - $181K/yr

Parsons is now hiring a Principal Roadway Engineer to join remote Kansas City team! This is a ... contract and monitors progress * Interfacing with Procurement and Subcontracts to facilitate ...

Birch Creek Energy

Civil Project Engineer

Saint Louis, MO · On-site +1

$82K - $110K/yr

Remote-work candidates are welcome. Job Overview: * Reporting to the Sr Director of Execution ... Review and provide input for EPC LNTP and contract technical exhibits. * Host project design ...

Lochner

Senior Airport Design Engineer

Kansas City, MO · On-site +1

$102K - $140K/yr

Preparation of engineering design reports, construction plans, and contract documents / technical ... remote opportunities where business needs allow • Life insurance and disability coverage ...

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Contract Firmware Engineer Remote information

What is a contract firmware engineer?

Contract firmware engineers are professionals hired on a temporary or project basis to design, develop, and troubleshoot embedded software (firmware) that controls hardware devices. Working remotely, they collaborate with engineering teams to write code, test hardware components, and ensure that embedded systems function as intended. These engineers often bring specialized expertise to short-term projects, allowing companies flexibility without committing to full-time hires.

What key skills and qualifications are needed to thrive as a contract firmware engineer remote?

To thrive as a Contract Firmware Engineer working remotely, you need strong proficiency in embedded systems programming (C/C++), hardware-software integration, and relevant engineering degrees or equivalent experience. Familiarity with microcontroller platforms, version control systems (such as Git), and debugging tools is typically required, and certifications like ARM Accredited Engineer can be advantageous. Excellent problem-solving, self-motivation, and clear remote communication skills help set exceptional candidates apart. These competencies ensure successful project delivery, efficient troubleshooting, and effective collaboration in a remote engineering environment.

How does a remote contract firmware engineer typically collaborate with hardware teams and manage project deliverables?

As a remote contract firmware engineer, effective collaboration with hardware teams is crucial, often achieved through regular video meetings, shared documentation platforms, and version control systems like Git. Clear communication is essential for aligning on project specifications, debugging hardware-software integration issues, and staying updated on hardware revisions. Project deliverables are usually managed using agile methodologies, with tasks tracked via tools like Jira or Trello and frequent check-ins with project managers to ensure milestones are met. This structure enables remote engineers to stay integrated with on-site teams and maintain productivity despite physical separation.

What is the difference between Contract Firmware Engineer Remote vs Contract Embedded Software Engineer?

AspectContract Firmware Engineer RemoteContract Embedded Software Engineer
CredentialsBachelor's in Electrical/Computer Engineering, relevant certificationsBachelor's in Electrical/Computer Engineering, relevant certifications
Work EnvironmentRemote, project-based, hardware interfacingRemote or on-site, hardware-focused, real-time systems
Industry UsageConsumer electronics, IoT, industrial devicesAutomotive, medical devices, industrial automation
Search & Comparison IntentFocus on firmware development, remote work optionsFocus on embedded systems, hardware integration

Both roles involve firmware development, but Contract Firmware Engineer Remote emphasizes remote work and consumer or IoT projects, while Contract Embedded Software Engineer often involves hardware integration in industrial or automotive sectors. The choice depends on industry focus and work environment preferences.

What are the most commonly searched types of Firmware Engineer Remote jobs in Missouri?

The most popular types of Firmware Engineer Remote jobs in Missouri are:

What cities in Missouri are hiring for Contract Firmware Engineer Remote jobs?

Cities in Missouri with the most Contract Firmware Engineer Remote job openings:

Contract Firmware Engineer Remote jobs near you

Senior AI Engineer

Koantek

Chesterfield, MO • Remote

$54.75 - $70.50/hr

Contractor

Re-posted 5 days ago

Key responsibilities

  • Lead and execute end-to-end ML project implementations directly with clients, translating business problems into technical solutions.

  • Design, build, and maintain production-grade ML pipelines with a focus on CI/CD and MLOps practices to ensure model reliability and scalability.

  • Implement and optimize Generative AI and NLP applications, including technologies like RAG and LLMs, in a production environment.

Job description

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate will be instrumental in designing, deploying, and maintaining production-grade ML solutions, including advanced Generative AI and Natural Language Processing (NLP) models, for our diverse client base.Key Responsibilities Serve as a primary technical consultant, leading and executing end-to-end ML project implementations directly with clients, translating complex business problems into robust technical solutions

Exhibit excellent communication, presentation, and stakeholder management skills to clearly articulate technical findings, proposals, and project status to both technical and non-technical audiences. Design, build, and maintain production-grade ML pipelines, focusing on continuous integration, continuous delivery (CI/CD), and advanced MLOps practices to ensure reliability and scalability of models. Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on experience with technologies like Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) in a production setting.

Manage underlying solution infrastructure, demonstrating proficiency in technologies such as Docker, pipeline orchestrators, and database systems. Leverage expertise in distributed computing frameworks, specifically in scalable machine learning and high-performance data processing (e.g., using technologies like Apache Spark). Contribute to the strategic growth of the ML Practice Team, including participation in technical assignments and knowledge transfer activities

Ensure all client engagements and training activities are properly documented and reported via designated partner platforms. Required Qualifications 4+ years of hands-on professional experience developing, deploying, and managing Machine Learning models, with a mandatory requirement for productionizing and maintaining models in a live environment. 3+ years of experience in a customer-facing consulting or solutions architect role, focused on technical implementation and delivery.

Excellent verbal and written communication skills for effective client and internal team interaction. Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices. Demonstrable experience with infrastructure management, encompassing containerization (Docker) and data pipeline orchestration.

Deep understanding of programming for data-intensive and scalable ML applications. Proven experience in deploying and managing Generative AI and NLP solutions for client applications. Preferred Qualifications Hands-on experience with modern ML platform stacks, such as Databricks MLOps Stacks.

Knowledge of specific tools and techniques used in scalable machine learning and large-scale data processing. Demonstrated commitment to continuous learning in emerging ML fields, such as LLMs and GenAI application architectures. Requirements Hands-on experience with modern ML platform stacks, such as Databricks MLOps Stacks.

Knowledge of specific tools and techniques used in scalable machine learning and large-scale data processing. Demonstrated commitment to continuous learning in emerging ML fields, such as LLMs and GenAI application architectures.

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