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Remote Gas Engine Performance Engineer Jobs in New Jersey

Overview Location * US-Remote or Marlton, NJ area Job Title * Software Engineer Salary ... and performance requirements. * Develop cloud-native services and containerized applications ...

IOS Developer (Remote)

Edison, NJ ยท On-site +1

$53.50 - $73.75/hr

IOS Developer Location: Remote project Duration: 12 months Description: Front End - Presentation ... high-performance applications. * Minimum 5 years of experience in Analysis , Design and Coding

Job Title: Software Engineer, Full Stack Location: Remote Division: Technology Department ... The Company's portfolio offers unique capabilities in high-performance computing, artificial ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Additional exposure to client frameworks like React or Angular, Google App Engine, Amazon EC2 ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Additional exposure to client frameworks like React or Angular, Google App Engine, Amazon EC2 ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Additional exposure to client frameworks like React or Angular, Google App Engine, Amazon EC2 ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Additional exposure to client frameworks like React or Angular, Google App Engine, Amazon EC2 ...

$40/hr

The Software Engineer Intern implements developer tools or product features on a rapid-release ... Additional exposure to client frameworks like React or Angular, Google App Engine, Amazon EC2 ...

Showing results 21-40

Remote Gas Engine Performance Engineer information

What does a remote gas engine performance engineer do?

A Remote Gas Engine Performance Engineer is responsible for monitoring, analyzing, and optimizing the performance of gas engines from a remote location. They use specialized software and data analytics to assess engine efficiency, diagnose issues, and recommend improvements to ensure optimal operation. Their work often involves collaborating with on-site engineers, providing technical support, and generating performance reports to help minimize downtime and maximize engine productivity.

How does a remote gas engine performance engineer typically collaborate with on-site teams to troubleshoot performance issues?

As a Remote Gas Engine Performance Engineer, you will regularly coordinate with on-site maintenance and operations teams using virtual tools such as video calls, remote monitoring systems, and shared diagnostic platforms. You may analyze real-time engine data remotely, guide on-site staff through troubleshooting steps, and provide recommendations for optimizing performance or resolving faults. Effective communication skills and the ability to interpret data while not being physically present are essential in ensuring smooth collaboration and timely problem resolution.

What are the key skills and qualifications needed to thrive as a remote gas engine performance engineer, and why are they important?

To thrive as a Remote Gas Engine Performance Engineer, you need expertise in mechanical or automotive engineering, strong analytical skills, and a relevant engineering degree. Familiarity with engine diagnostic tools, performance monitoring software, and industry-standard modeling systems like MATLAB or GT-Power is typically required. Excellent problem-solving abilities, communication, and the capacity to work independently are standout soft skills in this remote role. These competencies are essential for accurately assessing engine performance, optimizing operations, and collaborating effectively with distributed teams.

What is the difference between Remote Gas Engine Performance Engineer vs Remote Gas System Analyst?

AspectRemote Gas Engine Performance EngineerRemote Gas System Analyst
Required CredentialsBachelor's in Mechanical or Electrical Engineering, certifications in engine testingBachelor's in Mechanical, Chemical, or Petroleum Engineering, certifications in gas systems analysis
Work EnvironmentDesign labs, field testing sites, remote monitoringData analysis, system modeling, remote diagnostics
Employer & Industry UsageEnergy companies, engine manufacturers, research institutionsOil & gas companies, utilities, engineering consultancies

The Remote Gas Engine Performance Engineer focuses on optimizing engine performance through testing and analysis, often working directly with engines. In contrast, the Remote Gas System Analyst specializes in analyzing and modeling gas systems remotely to improve efficiency and safety. Both roles require technical expertise but differ in their focus areas within the gas industry.

What are popular job titles related to Remote Gas Engine Performance Engineer jobs in New Jersey?

For Remote Gas Engine Performance Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Remote Gas Engine Performance Engineer jobs in New Jersey look for?

The top searched job categories for Remote Gas Engine Performance Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Gas Engine Performance Engineer jobs?

Cities in New Jersey with the most Remote Gas Engine Performance Engineer job openings:

Infographic showing various Remote Gas Engine Performance Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Software Engineer (US-Remote)

Gnostech

Marlton, NJ โ€ข On-site, Remote

Full-time

Re-posted 27 days ago


Job description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.
Overview
Location
  • US-Remote or Marlton, NJ area

Job Title
  • Software Engineer

Salary
  • Commensurate with industry position, depending on experience

Shift
  • Typical: Monday through Friday 9am to 5pm

Travel
  • Less than 5%

Position Responsibilities
  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance
  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills
  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications
  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required
  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience
  • 2+

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.