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Remote Gas Engine Performance Engineer Jobs (NOW HIRING)

We are seeking a highly talented and experienced Senior AI Fabric Performance Engineer to take on a ... Experience with RDMA (Remote Direct Memory Access) and RoCEv2 (RDMA over Converged Ethernet)

How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Staff Performance Engineer - SDET

OR · On-site +1

$110K - $204K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Lead Performance Testing Initiatives: Guide performance engineering efforts, interpret results ...

How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

Staff Performance Software Engineer

NC · On-site +1

$200K - $300K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Partner with engineering teams to shape performance testing strategies and scalability approaches.

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Remote Gas Engine Performance Engineer information

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$109.5K

$125K

$139K

How much do remote gas engine performance engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote gas engine performance engineer in the United States is $125,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $132,500.00 per year, depending on experience, location, and employer.

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.

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 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.
More about Remote Gas Engine Performance Engineer jobs
What cities are hiring for Remote Gas Engine Performance Engineer jobs? Cities with the most Remote Gas Engine Performance Engineer job openings:
What are the most commonly searched types of Gas Engine Performance Engineer jobs? The most popular types of Gas Engine Performance Engineer jobs are:
What states have the most Remote Gas Engine Performance Engineer jobs? States with the most job openings for Remote Gas Engine Performance Engineer jobs include:
What job categories do people searching Remote Gas Engine Performance Engineer jobs look for? The top searched job categories for Remote Gas Engine Performance Engineer jobs are:
Infographic showing various Remote Gas Engine Performance Engineer job openings in the United States as of June 2026, with employment types broken down into 59% Full Time, 30% Part Time, and 11% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,000 per year, or $60.1 per hour.
AI Systems Performance Engineer

AI Systems Performance Engineer

Broadcom

San Jose, CA • Remote

$141K - $226K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Broadcom rating

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

11th of 139 rated electronics manufacturers


Job description

Please Note:

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Job Description:

We are seeking a highly talented and experienced Senior AI Fabric Performance Engineer to take on a critical role within our Performance Lab. In this high-impact position, you will drive the performance benchmarking of AI inference, training and storage workloads with focus on our network infrastructure. You will be responsible to generate reports that aid the customers in deployment and marketing team to position the product.

While the AI workloads (inference and training) run on our servers, your primary focus will be optimizing the Ethernet fabric that connects them. You will be responsible for executing rigorous performance benchmarks, isolating complex system bottlenecks, and tuning parameters to achieve maximum throughput and minimum latency. If you possess a deep understanding of Ethernet fabric, machine learning system demands, and Linux environments, and you thrive on solving complex performance puzzles, we want you on our team.

Key Responsibilities
  • Benchmarking & Execution: Install, configure, and run industry-standard AI performance benchmarks, with a strong emphasis on MLPerf (Training and Inference) and NCCL tests.

  • Fabric Optimization: Tune and optimize network parameters, focusing heavily on Ethernet fabric performance, to ensure seamless data flow for distributed AI workloads running on server clusters.

  • Deep Debugging: Identify, isolate, and troubleshoot complex system performance bottlenecks spanning across the Linux OS, server hardware, and Ethernet switches.

  • Automation Development: Design, develop, and implement robust performance testing frameworks and automation tools to streamline continuous benchmarking.

  • Cross-Functional Collaboration: Document test methodologies, communicate performance findings, and provide actionable improvement recommendations to hardware, software, and networking stakeholders.

Required Qualifications
  • Education: Bachelor's / Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field plus 12+ years / 10+ years related industry experience.

  • OS Expertise: Deep familiarity and hands-on experience with Linux operating systems, including system-level performance tuning and troubleshooting.

  • Programming Skills: Strong proficiency in programming and scripting languages, specifically Python and C++.

  • AI/ML Knowledge: Familiarity with modern machine learning frameworks, particularly PyTorch, and a solid understanding of how AI models consume compute and network resources.

  • Networking & Fabric: Proven experience in performance testing and validating Ethernet switch systems.

  • Analytical Capabilities: Extensive experience with performance metrics, profiling, and benchmarking tools. Strong problem-solving skills with a proven ability to diagnose root causes in complex, distributed systems.

Preferred Qualifications (Optional but recommended for a critical role)
  • Experience with RDMA (Remote Direct Memory Access) and RoCEv2 (RDMA over Converged Ethernet).

  • Prior experience building CI/CD pipelines for automated hardware or software performance regression testing.

  • Familiarity with containerization and orchestration tools (Docker, Kubernetes) used in AI deployments.

Additional Job Description:

Compensation and Benefits

The annual base salary range for this position is$141,300 - $226,000.

As a valued member of our team, you'll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant, but also annual equity awards, connecting your success directly to the company's growth. All subject to relevant plan documents and award agreements.

Broadcom offers a competitive and comprehensive benefits package: Medical, dental and vision plans, 401(K) participation including company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.

Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, national origin, citizenship, disability status, medical condition, pregnancy, protected veteran status or any other characteristic protected by federal, state, or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.

If you are located outside USA, please be sure to fill out a home address as this will be used for future correspondence.


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