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

Reticent Media, Inc. has the best organized group of developers, everyone is remote and working in ... Hourly: 40 hrs/week; Period of Performance: Ongoing / Form 1099-MISC Contractor or W2 Location:

Senior Security Engineer - Data Platform

Austin, TX · On-site +1

$113K - $155K/yr

Secure Remote Access: Establish secure, auditable remote access solutions for engineers to ... Troubleshoot and harden networking configurations, addressing performance and security challenges ...

Senior Software Engineer - SAI/SDK

Austin, TX · On-site +1

$121K - $160K/yr

Cornelis Networks delivers the world's highest performance scale-out networking solutions for AI ... This is a remote position for employees residing within the United States. We offer a competitive ...

Cornelis Networks delivers the world's highest performance scale-out networking solutions for AI ... This is a remote position for employees residing within the United States. We offer a competitive ...

Lead Agentic AI Engineer

Austin, TX · Remote

$104K - $138K/yr

Remote, EST Time zone Role Overview We are looking for a Lead Agentic AI Engineer to drive the ... Oversee deployment, scalability, and performance on cloud platforms (AWS or Azure) * Drive adoption ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Implement lifecycle management, backup/recovery, and security protocols * 30% - Performance ...

Senior Firmware Security Engineer

Austin, TX · On-site +1

$118K - $156K/yr

Cornelis Networks delivers the world's highest performance scale-out networking solutions for AI ... Location:This is a remote position for employees residing within the United States. We offer a ...

Senior iOS Engineer @ Ladder

Austin, TX · Remote

$138K/yr

Remote-friendly (US time zones) with HQ in Austin, TX. We are growing rapidly - $60M ARR ($3M in ... Strong grasp of app architecture, performance optimization, and modern build systems * Startup ...

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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 Jul 14, 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 cities near Austin, TX are hiring for Remote Performance Engineer jobs? Cities near Austin, TX with the most Remote Performance Engineer job openings:
Senior Deep Learning Engineer

Senior Deep Learning Engineer

Targeted Talent

Austin, TX • On-site, Remote

$130K - $180K/yr

Full-time

Re-posted 3 days ago


Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.

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About Targeted Talent

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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA