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Remote Performance Engineer Jobs in Bee Cave, TX

YO AI Labs

Senior Software Engineer - Remote

Austin, TX · Remote

$121K - $160K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Ensure data quality, integrity, security, and performance across data platforms. * Collaborate with ...

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All JobsPerformance Engineer JobsRemote Performance Engineer JobsRemote Performance Engineer Jobs in Bee Cave, TX

Remote Performance Engineer information

See Bee Cave, TX salary details

$10

$59

$96

How much do remote performance engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote performance engineer in Bee Cave, TX is $59.19, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $66.97 per hour, depending on experience, location, and employer.

How does a remote performance engineer typically collaborate with cross-functional teams to address system bottlenecks?

Remote Performance Engineers frequently work alongside developers, QA analysts, and operations teams to identify and resolve system performance issues. Collaboration is often facilitated through virtual meetings, shared dashboards, and ticketing systems, allowing for real-time discussion of bottlenecks and potential solutions. Engineers may be responsible for presenting their findings, recommending optimizations, and guiding implementation while ensuring all stakeholders are aligned on priorities. Effective communication skills and proactive documentation are essential to succeed in this remote, collaborative environment.

What is a remote performance engineer?

Remote Performance Engineers are specialized IT professionals who work from remote locations to monitor, analyze, and optimize the performance of software applications, systems, or networks. Their main goal is to ensure that digital products run efficiently and can handle user demand without slowdowns or outages. They utilize various tools and methodologies to identify bottlenecks, conduct testing, and recommend or implement solutions to improve overall system performance. These engineers often collaborate with development, operations, and QA teams to maintain high standards of reliability and speed for end users.

What is the difference between Remote Performance Engineer vs Remote QA Engineer?

AspectRemote Performance EngineerRemote QA Engineer
Required CredentialsBachelor's in Computer Science, experience with performance testing toolsBachelor's in Computer Science, experience with testing frameworks
Work EnvironmentDevelops and analyzes system performance, works closely with development teamsTests software quality, executes test plans, reports bugs
Employer & Industry UsageTech companies, software firms, e-commerce platformsSoftware companies, app developers, tech firms
Search & Comparison IntentPerformance optimization, system testing rolesSoftware testing, quality assurance roles

Remote Performance Engineers focus on optimizing system performance and analyzing bottlenecks, while Remote QA Engineers concentrate on testing software quality and identifying bugs. Both roles require technical skills and often work in similar tech environments, but their core responsibilities differ in focus and objectives.

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

To excel as a Remote Performance Engineer, you need a strong background in software engineering, performance testing, and systems analysis, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valuable. Exceptional problem-solving skills, attention to detail, and effective remote communication are critical soft skills for this role. These abilities ensure optimal system performance, efficient troubleshooting, and successful collaboration across distributed teams.
What cities near Bee Cave, TX are hiring for Remote Performance Engineer jobs? Cities near Bee Cave, TX with the most Remote Performance Engineer job openings:
Remote Performance Engineer jobs near you
Infographic showing various Remote Performance Engineer job openings in Bee Cave, TX as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,110 per year, or $59.2 per hour.

W2 Role- Machine Learning Performance Engineer - CUDA Python[50% Travel-remote]

SmartIPlace

Austin, TX • Remote

$143K/yr

Contractor

Re-posted 3 days ago

Job description

Title: Machine Learning Performance Engineer - CUDA Python

Work Authorization – USC / GC only

Interview: Video

Duration:  6-month contract maybe extensions  

 

 

Location:  50% travel

 

Duration: 6 month contract

*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
Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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