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Remote Hardware Engineer Jobs in Leander, TX (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while ...

Future Secure AI

IT Support Engineer

Austin, TX · Remote

Stand up an interim remote-wipe and remote-lock procedure for offboarded, lost, or stolen devices ... Build and maintain FSAI's global hardware asset inventory (serial numbers, owners, location ...

Roku

Senior AI DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

About the role The mobile team ships the Roku Remote, Smart Home, and Howdy apps on iOS and Android ... Define the device compatibility matrix which firmware/model combinations require real hardware, and ...

Cornelis Networks

PCIe ASIC Design Engineer

Austin, TX · On-site +1

Our differentiated architecture seamlessly integrates hardware, software and system level ... This is a remote position for employees residing within the United States. We offer a competitive ...

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All JobsHardware Engineer JobsRemote Hardware Engineer JobsRemote Hardware Engineer Jobs in Leander, TX

Remote Hardware Engineer information

See Leander, TX salary details

$48.7K

$139.7K

$187.8K

How much do remote hardware engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote hardware engineer in Leander, TX is $139,724.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $155,700.00 per year, depending on experience, location, and employer.

What is a remote hardware engineer?

A Remote Hardware Engineer is responsible for designing, developing, and testing hardware components such as circuit boards, processors, and embedded systems while working remotely. They collaborate with electrical and software engineers to ensure seamless integration of hardware and software. Using tools like CAD software and simulation programs, they prototype and refine designs. Remote Hardware Engineers communicate through virtual meetings and project management tools to stay aligned with team objectives. Their role requires strong problem-solving skills and the ability to work independently while maintaining coordination with the team.

What skills and qualifications are needed to thrive as a remote hardware engineer?

To thrive as a Remote Hardware Engineer, you need a solid background in electrical engineering, circuit design, and troubleshooting, often supported by a relevant engineering degree. Familiarity with CAD tools (such as Altium Designer or OrCAD), simulation software, and industry certifications like Professional Engineer (PE) credentials are highly valued. Strong communication, self-motivation, and the ability to collaborate virtually with global teams are essential soft skills. These capabilities are critical for effectively developing, testing, and refining hardware solutions while maintaining productivity in a remote setting.

What challenges do remote hardware engineers commonly face when working outside a traditional lab environment?

Remote Hardware Engineers often encounter challenges such as limited access to physical equipment and testing facilities, which can slow prototyping and troubleshooting processes. To overcome this, companies may provide advanced simulation tools, remote desktop access to lab resources, or occasionally require periodic on-site visits for critical testing phases. Adaptability and creative problem-solving are crucial when addressing real-time hardware issues remotely. Additionally, clear communication with team members and other departments ensures that project milestones are met and technical hurdles are efficiently resolved.

What cities near Leander, TX are hiring for Remote Hardware Engineer jobs?

Cities near Leander, TX with the most Remote Hardware Engineer job openings:

Remote Hardware Engineer jobs near you
Infographic showing various Remote Hardware Engineer job openings in Leander, TX as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $139,724 per year, or $67.2 per hour.

AI/ML Engineer - Remote

Austin, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$200 - $350/hr

Full-time

Posted 12 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.