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Remote Powertrain Engineer Jobs in Austin, TX (NOW HIRING)

Addison Group

Remote M365 Engineer

West Lake Hills, TX · On-site +1

$55 - $60/hr

Remote M365 Integration Engineer Compensation : $55 - $60 / hour depending on experience Benefits: You are eligible for medical, dental, vision insurance benefits, 401K, and monetary bonuses Top ...

Addison Group

Remote M365 Engineer

West Lake Hills, TX · Remote

$55 - $60/hr

Remote M365 Integration Engineer Compensation : $55 - $60 / hour depending on experience Benefits: You are eligible for medical, dental, vision insurance benefits, 401K, and monetary bonuses Top ...

Apptronik

Staff Bazel Engineer

Austin, TX · On-site +1

Design and implement scalable build infrastructure, including remote caching and remote execution ... Improve developer workflows both locally and on hardware to reduce friction in build and ...

Kriscon Inc

Lead Agentic AI Engineer

Austin, TX · Remote

$104K - $138K/yr

Remote, EST Time zone Role Overview We are looking for a Lead Agentic AI Engineer to drive the design, development, and deployment of advanced AI-powered applications using Generative AI and agentic ...

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All JobsPowertrain Engineer JobsRemote Powertrain Engineer JobsRemote Powertrain Engineer Jobs in Austin, TX

Remote Powertrain Engineer information

See Austin, TX salary details

$30

$44

$63

How much do remote powertrain engineer jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for remote powertrain engineer in Austin, TX is $44.73, according to ZipRecruiter salary data. Most workers in this role earn between $40.72 and $48.85 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Powertrain Engineer, you need a solid background in mechanical or automotive engineering, with expertise in powertrain systems, and typically a bachelor's degree or higher. Proficiency with CAD software, simulation tools like MATLAB/Simulink, and familiarity with industry standards are crucial, and certifications such as Professional Engineer (PE) can be advantageous. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you excel in collaborating with distributed teams. These skills ensure the successful design, analysis, and optimization of powertrain components while maintaining productivity and quality in a remote work environment.

What is a Remote Powertrain Engineer?

A Remote Powertrain Engineer is a specialized engineer who designs, develops, and optimizes vehicle powertrain systems—such as engines, transmissions, and electric drivetrains—while working remotely from a location outside the traditional office or laboratory setting. They use advanced software tools to collaborate with teams, analyze data, and run simulations to improve vehicle performance, efficiency, and compliance with regulations. This role typically involves close coordination with other engineering and manufacturing teams, as well as staying up to date with emerging automotive technologies.

How does working remotely as a Powertrain Engineer affect collaboration with cross-functional teams?

As a remote Powertrain Engineer, effective collaboration is often facilitated through digital platforms such as video conferencing, project management tools, and collaborative CAD software. While you may not be physically present in the lab or test facility, you'll regularly interact with other engineers, designers, and project managers to review designs, troubleshoot issues, and track project progress. Clear communication and proactive scheduling of virtual meetings are essential to ensure alignment, especially when coordinating with on-site teams for testing or validation activities. Remote roles may also require more documentation and frequent updates to keep everyone informed and projects on track.
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Remote Powertrain Engineer jobs near you
Infographic showing various Remote Powertrain Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $93,042 per year, or $44.7 per hour.
Applied AI Product Engineer (Remote Opportunity)

Applied AI Product Engineer (Remote Opportunity)

VetsEZ

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

EZLabs, the AI innovation division of VetsEZ, is seeking multiple Applied AI Product Engineers to join our growing team in a 100% remote role focused on building intelligent healthcare technology platforms and next-generation AI-driven solutions. At EZ Labs, we are transforming healthcare delivery through technology, innovation, and compassionate design. We partner with care teams, providers, and payers to improve patient engagement, care coordination, and claims management through advanced analytics, intelligent automation, and secure digital platforms.
This role is ideal for a hands-on engineer who thrives at the intersection of AI, product development, and full-stack software engineering. The ideal candidate has practical experience building and deploying real-world AI-powered applications using modern AI development tools such as Cursor, Claude, Codex, OpenAI, and related LLM technologies.
The candidate must reside within the continental US.
Responsibilities:
  • Design, develop, and implement AI-powered features across healthcare product platforms and operational systems.
  • Build full-stack applications using modern AI engineering workflows and tools such as Cursor, Claude, Codex, OpenAI APIs, and related LLM technologies.
  • Collaborate with product managers, designers, engineers, and clinical stakeholders to deliver scalable, user-focused solutions that improve patient engagement, care coordination, and operational efficiency.
  • Develop APIs, backend services, automation pipelines, and AI workflows that support intelligent product capabilities and production-ready deployments.
  • Apply software engineering, DevOps, and MLOps best practices to testing, deployment, monitoring, and optimization of AI solutions.
  • Research emerging AI technologies, LLM implementation patterns, and modern product engineering frameworks to continuously improve platform capabilities.
  • Navigate ambiguity, solve complex technical challenges, and collaborate effectively across technical and non-technical teams in a fast-paced Agile environment.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline.
  • 2+ years of professional experience in software engineering, product engineering, or full-stack application development.
  • Hands-on experience delivering at least 2-3 production-level AI projects using tools such as Cursor, Claude, Codex, OpenAI, Anthropic, or similar AI development platforms.
  • Strong programming skills with proficiency in Python, TypeScript, JavaScript, or related modern development languages, along with experience building and deploying production-grade full-stack applications.
  • Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI workflows, or retrieval augmented generation (RAG) architectures.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, along with containerization and deployment technologies such as Docker and Kubernetes.
  • Strong communication, collaboration, analytical, and problem-solving skills with the ability to work independently in a remote Agile environment.

Additional Qualifications:
  • Experience with AI-assisted software development workflows, vector databases, embeddings, semantic search, orchestration frameworks, or AI workflow automation.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face, or scikit-learn.
  • Exposure to CI/CD pipelines, DevOps practices, infrastructure automation, or secure healthcare technology environments.
  • Experience supporting healthcare, payer/provider, federal government, or Department of Veterans Affairs (VA) technology initiatives is preferred.
  • Ability to obtain a government clearance is a plus.

Benefits:
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training opportunities.
  • Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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