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Remote Gas Engine Performance Engineer Jobs in Missouri

This team does monitoring across IT - back and front-end. Application performance monitoring is ... A few years of experience with Dynatrace is required (3) Fully remote is okay, prefer to be within ...

$104K - $139K/yr

Profile and optimize database performance using low-level instrumentation and benchmarking ... Deep knowledge of PostgreSQL or other database engine internals , including storage, execution, or ...

$70K - $85K/yr

Contribute to performance reporting by helping communicate what content was delivered, how it is ... Fully remote working environment across the Americas or EMEA. * Requirement for at least 4 hours of ...

The role goes beyond traffic generation, connecting search performance directly to leads, revenue ... Benefits: * Full-time remote position with the flexibility to work from anywhere. * Flexible ...

$100/hr

Performance, Security, Accessibility & SEO * Optimize for site speed and Core Web Vitals and follow ... Fully Remote * Unlimited PTO * $100 Wellness Reimbursement Program * Quarterly training stipend for ...

... and performance engineering. * Excellent English communication skills and the ability to collaborate effectively within a globally distributed, remote-first environment. * Ability to work ...

... remote-first environment. You'll have significant ownership over technical solutions that improve ... O/content performance monitoring. * Develop dashboards and reporting that enable rapid ...

$53.75 - $70.25/hr

The engineer will lead technical delivery for firewalls, remote access, SASE, network segmentation ... Troubleshoot remote-user connectivity, application performance, authentication, voice and video ...

Manufacturing Engineer

Liberty, MO ยท On-site +1

$68K - $88K/yr

This role is focused on improving operational performance, supporting lean initiatives, and ... Coordinating with remote sites and collaborating with suppliers to ensure operational alignment To ...

Manufacturing Engineer

Liberty, MO ยท On-site +1

$68K - $88K/yr

This role is focused on improving operational performance, supporting lean initiatives, and ... Coordinating with remote sites and collaborating with suppliers to ensure operational alignment To ...

Lead SEO and local search initiatives, including keyword and competitor research, technical and on ... Establish and monitor performance against qualified lead volume, appointment rates, cost per ...

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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 Missouri?

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

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

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

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

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

Infographic showing various Remote Gas Engine Performance Engineer job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Machine Learning Performance Engineer - CUDA Python

3B Staffing LLC

Kansas City, MO โ€ข Remote

$136K/yr

Contractor

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

As for expenses on this one for travel, they will bill WWT for expenses directly.

Machine Learning Performance Engineer - CUDA Python - - Travel - 50% - 18966

Job Order #: 10540Title: Machine Learning Performance Engineer - CUDA Python

Position/Sheet Notes: MUST HAVE SOME SORT OF RECORDED VIDEO ON WITH NON-USC's FOR INTERNAL USE. This job is open to W2, C2C, USC, GC and other legal status (H1B).

Duration: 6 month contract with the likelihood to extend

Location: Remote but candidates must be willing to travel to different customer sites.

Position Category: Infrastructure

Job Description: *Must be willing to travel 50% of the time

*Must have strong pre-sales abilities i.e. presentation skills, communication skills, etc.

*Must be willing to help train employees and customers

Your part here is optimizing the performance of our models - both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research.

Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level - is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long?

  • An understanding of modern ML techniques and toolsets
  • The experience and systems knowledge required to debug a training run's performance end to end
  • Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy
  • Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight Compute
  • Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS
  • Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization, and asynchronous memory loads
  • Background in Infiniband, RoCE, GPUDirect, PXN, rail optimization, and NVLink, and how to use these networking technologies to link up GPU clusters
  • An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI
  • An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools