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Remote Automotive Validation Engineer Jobs in Macon, GA

micro1 AI

Bioinformatics Software Engineer

Macon, GA · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ...

VEHLO

Product Manager

Knoxville, GA · On-site +1

Collaborate closely with developers, designers, QA, and other stakeholders. Stakeholder ... This role may be performed in a remote, hybrid, or office-based environment depending on business ...

Vehlo

Product Manager

Knoxville, GA · On-site +1

Collaborate closely with developers, designers, QA, and other stakeholders. Stakeholder ... This role may be performed in a remote, hybrid, or office-based environment depending on business ...

TRC Talent Solutions

Licensed Electrician

Eatonton, GA · Remote

Remote with Travel Throughout the Southeast Travel: 50-60% Overnight Travel Direct Hire: TRC has ... Support value engineering and constructability reviews. * Attend pre-bid meetings and site visits.

All JobsAutomotive Validation Engineer JobsRemote Automotive Validation Engineer JobsRemote Automotive Validation Engineer Jobs in Macon, GA

Remote Automotive Validation Engineer information

See Macon, GA salary details

$21

$49

$74

How much do remote automotive validation engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote automotive validation engineer in Macon, GA is $49.87, according to ZipRecruiter salary data. Most workers in this role earn between $37.79 and $60.62 per hour, depending on experience, location, and employer.

What is a remote automotive validation engineer?

A Remote Automotive Validation Engineer is a professional who tests and validates automotive systems, components, and software to ensure they meet required standards and function as intended. They work remotely, using specialized tools and software to perform simulations, analyze data, and communicate with on-site teams. Their role is crucial in detecting defects, ensuring safety, and improving the reliability of vehicles before they reach the market.

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

To thrive as a Remote Automotive Validation Engineer, you need a strong background in automotive engineering, systems validation, and a relevant engineering degree. Familiarity with diagnostic tools, CANoe/CANalyzer, test automation frameworks, and knowledge of ISO standards such as ISO 26262 are typically required. Outstanding problem-solving, attention to detail, and effective remote communication skills help you excel in collaborative, distributed teams. These abilities are critical to ensuring the safety, reliability, and regulatory compliance of automotive systems while working efficiently from a remote environment.

What are some common challenges faced by remote automotive validation engineers, and how can they be overcome?

Remote Automotive Validation Engineers often encounter challenges related to effective communication and collaboration, since much of the validation work involves coordination with cross-functional teams such as design, software, and testing groups. Additionally, accessing physical prototypes or test vehicles remotely can be difficult, requiring robust simulation tools and remote diagnostics. To overcome these challenges, engineers should leverage advanced collaboration platforms, maintain clear documentation, and participate in regular virtual meetings. Building strong relationships with on-site team members and staying updated with the latest remote validation technologies also help ensure successful project outcomes.

What is the difference between Remote Automotive Validation Engineer vs Remote Automotive Test Engineer?

AspectRemote Automotive Validation EngineerRemote Automotive Test Engineer
CredentialsBachelor's in Engineering, certifications in validation or testingBachelor's in Engineering, certifications in testing methodologies
Work EnvironmentDesign validation, system testing, validation plansTest execution, data analysis, test report creation
Industry UsageUsed across automotive OEMs and suppliers for validation rolesCommonly used in testing departments within automotive companies

The Remote Automotive Validation Engineer focuses on validating vehicle systems and ensuring compliance with specifications, often involving design and validation planning. In contrast, the Remote Automotive Test Engineer primarily executes tests, analyzes results, and documents findings. Both roles require similar credentials and are integral to automotive quality assurance, but they differ in their core responsibilities within the testing and validation process.

What are popular job titles related to Remote Automotive Validation Engineer jobs in Macon, GA?

For Remote Automotive Validation Engineer jobs in Macon, GA, the most frequently searched job titles are:

Remote Automotive Validation Engineer jobs near you

Bioinformatics Software Engineer

micro1 AI

Macon, GA • Remote

$80 - $110/hr

Part-time

Posted 25 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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