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Remote Performance Engineer Jobs in Austin, TX (NOW HIRING)

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Ensure the high availability, performance, and security of AI platform services. * Extensibility:

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Ensure the high availability, performance, and security of AI platform services. * Extensibility:

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Ensure the high availability, performance, and security of AI platform services. * Extensibility:

Remote Sr. Data Engineer

Austin, TX ยท Remote

$105K - $142K/yr

Remote Sr. Data Engineer Senior Data Engineer Position Overview We are seeking a highly skilled ... Leverage AWS Athena for querying large datasets and optimizing performance. * Implement CI/CD ...

Manager, Software Engineering

Austin, TX ยท On-site +1

$129K - $161K/yr

... performance engineering teams * 8+ years of experience in software development using Java or similar languages * Experience in and aptitude for leading remote teams * Excellent verbal and written ...

Test Automation Engineer (Remote Opportunity)

Austin, TX ยท On-site +1

$45.50 - $60.25/hr

... performance, regression, and integration testing. * Strong communication, problem-solving, and ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...

Test Automation Engineer (Remote Opportunity)

Austin, TX ยท Remote

$45.50 - $60.25/hr

... performance, regression, and integration testing. * Strong communication, problem-solving, and ... Remote Opportunity Qualified applicants will receive consideration for employment without regard to ...

Optimize build and test performance across local development and CI environments * Troubleshoot and ... Preferred: * Experience with remote execution systems (e.g., Bazel RBE, Buildbarn, BuildFarm)

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Remote Performance Engineer information

See Austin, TX salary details

$10

$59

$97

How much do remote performance engineer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote performance engineer in Austin, TX is $59.58, according to ZipRecruiter salary data. Most workers in this role earn between $48.85 and $67.45 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 are Remote Performance Engineers?

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 are the most commonly searched types of Performance Engineer jobs in Austin, TX? The most popular types of Performance Engineer jobs in Austin, TX are:
What job categories do people searching Remote Performance Engineer jobs in Austin, TX look for? The top searched job categories for Remote Performance Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Performance Engineer jobs? Cities near Austin, TX with the most Remote Performance Engineer job openings:
Infographic showing various Remote Performance Engineer job openings in Austin, TX as of June 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,920 per year, or $59.6 per hour.
W2 Role- Machine Learning Performance Engineer - CUDA Python[50% Travel-remote]

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

SmartIPlace

Austin, TX โ€ข Remote

$143K/yr

Contractor

Posted 14 days ago


Job description

Title: Machine Learning Performance Engineer - CUDA Python

Work Authorization โ€“ย USC / GC only

Interview: Video

Duration:ย  6-month contract maybe extensions ย 

ย 

ย 

Location:ย ย 50% travel

ย 

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 โ€“ 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 โ€“ 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 runโ€™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

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