2

Remote Powertrain Engineer Jobs in Decatur, GA (NOW HIRING)

You will work closely with the Senior AI Engineer and broader engineering team, taking increasing ownership as you develop depth across the platform's AI systems. Responsibilities • Contribute to ...

Lead Data Engineer

Atlanta, GA · On-site +1

$160K - $183K/yr

Lead Data Engineer positions offered by Cox Automotive Corporate Services, LLC (Atlanta, Georgia). Design simple and scalable solutions to complex problems and deliver leading edge software products ...

Regional Lead - Rail Engineer

Atlanta, GA · On-site +1

$140K - $200K/yr

Regional Lead - Rail Engineer Department: Transportation Employment Type: Full Time Location: Atlanta, GA Compensation: $140,000 - $200,000 / year Description At Horrocks, we believe the best work ...

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

About the Role As a Senior AI Engineer, you will work directly with clients to design, build ... remote work within the US. Atlanta-based applicants will have the opportunity to work in our ...

Senior AI Engineer 2026 - US

Atlanta, GA · On-site +1

$100K - $138K/yr

About the Role As a Senior AI Engineer, you will work directly with clients to design, build ... remote work within the US. Atlanta-based applicants will have the opportunity to work in our ...

Senior Cloud Engineer I

Atlanta, GA · On-site +1

$104K - $138K/yr

The Adventure Ahead As a Senior Cloud Engineer I, you are the backbone of the infrastructure that powers Docebo's global learning platform! You will architect, scale, and secure our AWS-based ...

BizOps Engineer

Atlanta, GA · On-site +1

$130K - $170K/yr

BizOps Engineer to join our Vimo team. Vimo is the leading provider for state-based marketplace technology with more experience than any technology provider transitioning states off healthcare.gov ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

You will own engineering initiatives end to end and help foster a culture of high ownership, continuous improvement, and engineering excellence. Here is a breakdown: Responsibilities * Design ...

Lead Data Engineer

Alpharetta, GA · On-site +1

$100K - $131K/yr

Role: Lead Data Engineer with Vertex AI Location: Alpharetta, GA Mode of work: 5Days Onsite Looking for 12+years profiles only Visa: USC & GC only (It's a W2 Role) Core Responsibilities: We are ...

Senior DevSecOps Engineer

Atlanta, GA · Remote

$91K - $163K/yr

As a Senior DevSecOps Engineer (Sr DevOps Engineer) within our technology organization, you will be at the forefront of securing, automating, and optimizing our enterprise release pipelines and ...

Showing results 41-60

Remote Powertrain Engineer information

See Decatur, GA salary details

$30

$44

$62

How much do remote powertrain engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote powertrain engineer in Decatur, GA is $44.06, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $48.12 per hour, depending on experience, location, and employer.

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 Decatur, GA?

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

What job categories do people searching Remote Powertrain Engineer jobs in Decatur, GA look for?

The top searched job categories for Remote Powertrain Engineer jobs in Decatur, GA are:

AI Engineer

Insight Global

Atlanta, GA • On-site, Remote

Full-time

Re-posted 20 days ago


Job description

Overview

You will work across the AI layer of the platform — contributing to retrieval pipelines, agent workflows, and model evaluation. The work is hands-on and empirical: you run experiments, measure results, and iterate. You will work closely with the Senior AI Engineer and broader engineering team, taking increasing ownership as you develop depth across the platform's AI systems.


Responsibilities

• Contribute to the hybrid retrieval pipeline — implementing and tuning retrieval components, running experiments to improve quality, and validating results on real evaluations.
• Build and maintain components of the agent orchestration layer — tool integrations, prompt management, and supporting human-in-the-loop workflows.
• Instrument AI and agent systems for observability — tracing model and tool calls, capturing token and latency telemetry, and supporting failure analysis.
• Build and maintain evaluation datasets and test suites across retrieval and agent workflows, contributing to CI-level quality gates.
• Support document AI capabilities — working with parsing, extraction, and OCR pipelines as the platform serves new client engagements.
• Implement per-tenant isolation checks across retrieval and agent layers, helping ensure no cross-tenant data leakage occurs.
• Contribute to model behaviour evaluation — running prompt injection and adversarial tests as part of ongoing eval work.


Qualifications

Required qualifications
• 3+ years of software engineering experience, with at least 1 year building LLM-powered systems — RAG pipelines, agent workflows, or fine-tuning — in a production or nearproduction setting.
• Practical experience in at least one of: retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning.
• Proficient in Python and comfortable working with async code, data pipelines, and REST APIs.
• Exposure to evaluation methodology for LLM systems — has contributed to or authored an eval dataset or test suite.
• Familiarity with agent or LLM observability tooling — tracing, logging, or monitoring of model and tool calls.
• Working knowledge of modern LLM and information-retrieval concepts; can discuss trade-offs between approaches with evidence.

Preferred qualifications
• Experience with knowledge graphs or property-graph query languages.
• Exposure to document AI — PDF parsing, table extraction, or OCR pipelines.
• Has contributed to or built an evaluation dataset and labeling workflow.
• Familiarity with prompt-injection risks and mitigation strategies in agent and retrieval pipelines.
• Open-source contributions to LangGraph, sentence-transformers, or comparable projects.

Qualifications:

Required qualifications
• 3+ years of software engineering experience, with at least 1 year building LLM-powered systems — RAG pipelines, agent workflows, or fine-tuning — in a production or nearproduction setting.
• Practical experience in at least one of: retrieval-augmented generation (RAG) and reranking; agent orchestration with LangGraph or comparable; or LLM fine-tuning.
• Proficient in Python and comfortable working with async code, data pipelines, and REST APIs.
• Exposure to evaluation methodology for LLM systems — has contributed to or authored an eval dataset or test suite.
• Familiarity with agent or LLM observability tooling — tracing, logging, or monitoring of model and tool calls.
• Working knowledge of modern LLM and information-retrieval concepts; can discuss trade-offs between approaches with evidence.

Preferred qualifications
• Experience with knowledge graphs or property-graph query languages.
• Exposure to document AI — PDF parsing, table extraction, or OCR pipelines.
• Has contributed to or built an evaluation dataset and labeling workflow.
• Familiarity with prompt-injection risks and mitigation strategies in agent and retrieval pipelines.
• Open-source contributions to LangGraph, sentence-transformers, or comparable projects.

Education:UNAVAILABLEEmployment Type: FULL_TIME