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Remote Powertrain Engineer Jobs in Massachusetts

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · 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 ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · 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 ...

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

The Product Engineering area is responsible for designing, writing, testing and deploying the code ... REMOTE Basic Requirements * 8+ years experience in software development * AND 2+ years with AI ...

Odigos

eBPF Engineer - Remote

Boston, MA · On-site +1

Description ABOUT THE ROLE We are looking for a founding engineer to join our team. You will be working with a small team of highly skilled engineers to build out our open-source project, Odigos. We ...

Motional

Senior Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Senior Engineer (Autonomy - Localization ... Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Design, implement, and test ...

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Remote Powertrain Engineer information

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.

What are the key skills and qualifications needed to thrive as a remote powertrain engineer?

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.

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.

What are popular job titles related to Remote Powertrain Engineer jobs in Massachusetts?

For Remote Powertrain Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Powertrain Engineer jobs in Massachusetts look for?

The top searched job categories for Remote Powertrain Engineer jobs in Massachusetts are:

Remote Powertrain Engineer jobs near you

AI/ML Engineer - Remote

Boston, MA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$200 - $350/hr

Full-time

Posted 17 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.