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Remote Engine Performance Engineer Jobs in Minnesota

US Bank

Nexthink Systems Engineer

Saint Paul, MN · Remote

The Nexthink Systems Engineer directs or recommends enhancements for system performance ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

US Bank

Nexthink Systems Engineer

Hopkins, MN · Remote

The Nexthink Systems Engineer directs or recommends enhancements for system performance ... Remote Actions * Dashboards & Investigations * Campaigns & Alerts * Application Experience ...

IDR, Inc.

Senior AI/ML Engineer

Saint Paul, MN · On-site +1

$75 - $78/hr

... remote in the U.S. This role offers the chance to develop cutting-edge AI solutions that enhance ... Evaluate and monitor AI model performance, ensuring alignment with safety, accuracy, and relevance ...

Ocean Spray

Environmental Engineer

Minneapolis, MN · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Monitor and analyze environmental performance metrics (waste, water, emissions, energy use) * Drive ...

ZEISS

Applications Engineer II

Minneapolis, MN · On-site +1

Provide remote and on-site technical support for ZEISS Industrial Metrology systems, including ... Documenting and reporting software performance issues accurately. * Delivering after-sales ...

Bio-Techne

Network Engineer

Minneapolis, MN · On-site +1

$78K - $128K/yr

The successful candidate will ensure the reliability, security, and performance of network systems ... Experience with VPN technologies (IPsec, SSL) and remote access solutions. * Strong troubleshooting ...

Tennant

Senior Software Engineer

Minneapolis, MN · On-site +1

$127K - $168K/yr

Hands-on experience leading projects and leading local and remote teams to build, enhance, support ... performance considerations, and data-driven application behavior. * Familiarity with Python for ...

BHI Energy

Solar Engineer

Minneapolis, MN · On-site +1

Remote -must live near one of the locations listed below Locations: Bloomington, MN Geotechnical ... Fundamental understanding of geology and geologic stability and performance mechanisms * Proficient ...

Danaher

Inside Sales Representative (REMOTE)

Minneapolis, MN · On-site +1

$33.65 - $43.27/hr

Our mission is to be the engine of innovation for genomic medicine pioneers . As a member of our ... developers. This position reports to the Manager, Inside Sales and is part of the North American ...

Quora

iOS Engineer -Remote

Saint Cloud, MN · Remote

$166K - $191K/yr

High attention to detail in all aspects of development from performance to UI * A desire to work in ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$127K - $168K/yr

Hands-on experience leading projects and leading local and remote teams to build, enhance, support ... performance considerations, and data-driven application behavior. * Familiarity with Python for ...

Tennant Company

Senior Software Engineer

Golden Valley, MN · On-site +1

$127K - $167K/yr

Hands-on experience leading projects and leading local and remote teams to build, enhance, support ... performance considerations, and data-driven application behavior. * Familiarity with Python for ...

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Remote Engine Performance Engineer information

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

To thrive as a Remote Engine Performance Engineer, you need a strong background in mechanical or automotive engineering, with expertise in engine systems and performance analysis, often supported by a relevant degree. Proficiency with diagnostic software, data acquisition tools, and simulation platforms such as MATLAB or AVL is typically required. Analytical thinking, effective communication, and problem-solving skills are crucial for collaborating remotely and delivering actionable insights. These skills ensure accurate performance optimization and reliable support for engine operations in distributed work environments.

What is a Remote Engine Performance Engineer?

A Remote Engine Performance Engineer is a professional who evaluates, monitors, and optimizes the performance of engines (such as those in automobiles, aircraft, or industrial equipment) from a remote location. They use specialized software and data analysis tools to assess engine efficiency, diagnose issues, and recommend improvements without being physically present with the machinery. This role often involves collaborating with on-site engineers, interpreting telemetry data, and providing guidance to enhance engine reliability and output. Remote Engine Performance Engineers are employed in industries like automotive, aerospace, and energy, where remote diagnostics and performance optimization are crucial.

How does a Remote Engine Performance Engineer typically collaborate with on-site teams to optimize engine performance?

As a Remote Engine Performance Engineer, collaboration with on-site teams is crucial for effective diagnostics and optimization. This is usually achieved through regular virtual meetings, sharing real-time data, and utilizing collaborative platforms to review test results and performance metrics. Engineers often work closely with test technicians, design engineers, and project managers to analyze issues, recommend adjustments, and implement improvements. Clear communication and timely feedback are key to ensuring seamless coordination despite the physical distance.

What is the difference between Remote Engine Performance Engineer vs Remote Powertrain Engineer?

AspectRemote Engine Performance EngineerRemote Powertrain Engineer
Required CredentialsBachelor's in Mechanical or Automotive Engineering, relevant certificationsBachelor's in Mechanical, Automotive, or Electrical Engineering, relevant certifications
Work EnvironmentAutomotive companies, OEMs, R&D labs, remote collaborationAutomotive manufacturers, suppliers, R&D, remote teams
Industry UsageFocuses on engine-specific performance optimizationEncompasses engine, transmission, and hybrid system performance
Search & Comparison IntentPeople comparing engine-specific rolesRoles involving entire powertrain systems

The Remote Engine Performance Engineer specializes in optimizing engine performance, focusing on combustion, efficiency, and emissions. In contrast, the Remote Powertrain Engineer works on the entire powertrain system, including engines, transmissions, and hybrid components. Both roles require similar technical backgrounds and are used in automotive R&D, but they differ in scope and focus.

What cities in Minnesota are hiring for Remote Engine Performance Engineer jobs? Cities in Minnesota with the most Remote Engine Performance Engineer job openings:
Remote Engine Performance Engineer jobs near you
Infographic showing various Remote Engine Performance Engineer job openings in Minnesota as of June 2026, with employment types broken down into 5% Internship, and 95% Full Time. Highlights an 55% In-person, 15% Hybrid, and 30% Remote job distribution.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Minneapolis, MN • Remote

Other

Posted 29 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply