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Remote Electrical Engineering Jobs in Austin, TX

AECOM

Electrical Engineer (BESS Focus)

Austin, TX · On-site +1

Our team provides a wide range of engineering services in support of projects across the country ... Responsible for the electrical engineering design work on assigned projects under the guidance of ...

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All JobsElectrical Engineering JobsRemote Electrical Engineering JobsRemote Electrical Engineering Jobs in Austin, TX

Remote Electrical Engineering information

See Austin, TX salary details

$50.1K

$110.1K

$166.5K

How much do remote electrical engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote electrical engineering in Austin, TX is $110,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,300.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a remote electrical engineer?

A remote electrical engineer is a professional who designs, develops, tests, and supervises the manufacturing of electrical equipment and systems while working from a location outside a traditional office or on-site setting. Using digital tools and communication platforms, they collaborate with teams, manage projects, and perform technical tasks from home or other remote locations. This role is ideal for those who have strong technical skills, are self-motivated, and can work independently while ensuring that all engineering standards and deadlines are met.

How do remote electrical engineers typically collaborate with on-site teams to ensure successful project delivery?

Remote electrical engineers often use collaboration tools like video conferencing, cloud-based design platforms, and project management software to stay connected with on-site teams. They participate in regular virtual meetings to discuss project updates, resolve technical challenges, and coordinate design changes. Clear communication and detailed documentation are essential to bridging the physical distance, ensuring that all stakeholders are aligned on project requirements and timelines. Successfully working remotely in this role requires proactive engagement and strong organizational skills to manage tasks effectively across locations.

What is the difference between Remote Electrical Engineering vs Remote Electronics Engineering?

AspectRemote Electrical EngineeringRemote Electronics Engineering
Required CredentialsBachelor's or higher in Electrical Engineering, PE license often preferredBachelor's or higher in Electronics Engineering or related field
Work EnvironmentDesigning electrical systems, power distribution, circuit analysisDesigning electronic circuits, embedded systems, PCB layout
Employer & Industry UsageUtilities, manufacturing, aerospace, automotiveConsumer electronics, telecommunications, embedded device companies
Common Search & ComparisonRemote Electrical EngineeringRemote Electronics Engineering

Remote Electrical Engineering focuses on power systems, electrical infrastructure, and large-scale electrical design, while Remote Electronics Engineering emphasizes circuit design, embedded systems, and electronic device development. Both roles require similar educational backgrounds but differ in industry applications and technical focus.

What are the key skills and qualifications needed to thrive as a remote electrical engineer, and why are they important?

To thrive as a Remote Electrical Engineer, you need a solid background in electrical engineering principles, problem-solving abilities, and a relevant degree such as a BS or MS in Electrical Engineering. Proficiency with CAD software, circuit simulation tools, and familiarity with industry standards and certifications like PE (Professional Engineer) are typically required. Strong communication, self-motivation, and time management skills help remote engineers collaborate effectively and manage projects independently. These skills ensure accurate project execution, effective teamwork across locations, and the ability to deliver reliable engineering solutions remotely.
What are the most commonly searched types of Electrical Engineering jobs in Austin, TX? The most popular types of Electrical Engineering jobs in Austin, TX are:
What are popular job titles related to Remote Electrical Engineering jobs in Austin, TX? For Remote Electrical Engineering jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Electrical Engineering jobs in Austin, TX look for? The top searched job categories for Remote Electrical Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Electrical Engineering jobs? Cities near Austin, TX with the most Remote Electrical Engineering job openings:
Remote Electrical Engineering jobs near you
Infographic showing various Remote Electrical Engineering job openings in Austin, TX as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $110,115 per year, or $52.9 per hour.

Electrical Engineer with Python Proficiency - AI Trainer

Kake Group

Austin, TX • Remote

Contractor

Re-posted 23 days ago

Job description

We're building a talent pool of Electrical Engineering professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models.

Designed for electrical engineers who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their simulation expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific tools such as ngspice, scikit-rf, python-control, or pandapower, with verifiable, code-graded answers run inside isolated Linux environments.

Key Responsibilities

  • Identify an appropriate electrical engineering simulation package and build problems whose solution genuinely hinges on that tool's core capabilities, whether solvers, simulation kernels, or domain-specific models.
  • Develop full Python solutions for each problem, providing all necessary netlist files and circuit definitions as required.
  • Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the engineering context.
  • Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%.
  • Tune circuit topologies, operating conditions, and solver parameters iteratively, building an understanding of how the model navigates complex circuit, control, and power systems problems.
  • Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission.

Core Requirements

  • Academic background in Electrical Engineering or a closely related field.
  • At least 2 years of hands-on experience in engineering research, applied work, or teaching.
  • Solid Python skills, applied to writing and validating computational solutions.
  • Capacity to build problems that cannot be solved without specialized simulation software.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Working knowledge of one or more domain-specific electrical engineering tools, including but not limited to ngspice, scikit-rf, python-control, pandapower, or PyPSA, or a demonstrated ability to get up to speed independently.
  • Prior exposure to how frontier AI models approach complex simulation tasks.
  • Knowledge spanning more than one engineering domain, such as circuit analysis, control systems, or power systems.
  • Familiarity with containerized or sandboxed Linux execution environments.

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.