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Performance Optimization Engineer Jobs in Austin, TX

YO AI Labs

AI Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

YO AI Labs

Machine Learning Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

YO AI Labs

RL Environment Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

YO AI Labs

AI/ML Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

Prophecy Technologies

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

This role is for a Data Engineer with mandatory prior experience in Apple AIDP. The successful ... performance optimization techniques. * Develop and execute complex SQL queries, including Self ...

ARM

Staff SOC Performance Architect

Austin, TX · On-site

$198K - $268K/yr

... optimized for Arm Cortex processors and Arm Mali multimedia IP. As stewards of the open AMBA ... SoC Performance Engineer We are looking for experienced SoC performance engineers who are ...

ARM

Staff SOC Performance Architect

Austin, TX · On-site

$198K - $268K/yr

... optimized for Arm Cortex processors and Arm Mali multimedia IP. As stewards of the open AMBA ... SoC Performance Engineer We are looking for experienced SoC performance engineers who are ...

Thatch

SEO & Performance Content Lead

Austin, TX · On-site +1

$160K - $210K/yr

You'll partner closely with Marketing, Product Marketing, and Engineering to make search a core ... performance, and technical SEO. * Build AI-enabled workflows that improve research, content ...

3M HEALTHCARE

Systems Performance Engineer

Austin, TX · On-site

The engineer works with senior engineers and researchers on AI training and inference systems ... The role centers on end‑to‑end performance characterization and optimization of large‑scale ...

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Performance Optimization Engineer information

See Austin, TX salary details

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$59

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How much do performance optimization engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for performance optimization 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.

What is a performance optimization engineer?

A Performance Optimization Engineer is a professional who focuses on improving the speed, efficiency, and scalability of software systems, applications, or hardware. Their main responsibilities include analyzing system performance, identifying bottlenecks, and implementing solutions to optimize resource usage and response times. They often work closely with development and operations teams to monitor system metrics, conduct performance testing, and ensure applications meet performance requirements. This role is critical in maintaining high-performing, reliable systems, especially for organizations with large-scale or mission-critical applications.

What are some typical challenges a performance optimization engineer faces when working with legacy systems?

Performance Optimization Engineers often encounter challenges such as outdated codebases, lack of documentation, and hardware limitations when working with legacy systems. These factors can make it difficult to identify bottlenecks and implement modern performance improvements. Collaborating closely with cross-functional teams—including developers, testers, and system administrators—is crucial to fully understand system behavior and safely apply optimizations without introducing regressions. Patience and creative problem-solving are key, as each legacy system may require unique strategies to achieve measurable performance gains.

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

To thrive as a Performance Optimization Engineer, you need a strong background in computer science, programming, and system architecture, often supported by a relevant degree. Familiarity with profiling tools, performance monitoring systems, and languages such as C++, Java, or Python is typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for diagnosing bottlenecks and collaborating with teams. These abilities are essential for ensuring systems operate efficiently, reliably, and at scale.

What is the difference between Performance Optimization Engineer vs Software Developer?

AspectPerformance Optimization EngineerSoftware Developer
Primary FocusImproving system and application performance, optimizing code and infrastructureDesigning, coding, and testing software applications
Skills & CertificationsKnowledge of performance profiling, debugging, scripting, certifications like AWS or LinuxProficiency in programming languages, software development methodologies
Work EnvironmentOften in performance labs, cloud environments, or data centersDevelopment teams, office or remote software development settings
Industry UsageTech, gaming, finance, and enterprise sectors focusing on system efficiency

Performance Optimization Engineers focus on enhancing system and application efficiency, while Software Developers create and maintain software applications. Both roles require technical skills, but their core responsibilities differ significantly, making each essential in different stages of software and system lifecycle.

Senior Manager, AI Power & Performance Engineering

Austin, TX • On-site

Advanced Micro Devices, Inc
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Advanced Micro Devices, Incexternal

$161K/yr

Full-time

Re-posted 17 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward.
Role Overview
The Senior Manager, AI Power & Performance (AI PnP) will lead a team responsible for delivering industry-leading AI performance, power efficiency, benchmarking, characterization, and optimization across AMD's Embedded and Edge AI platforms. This leader will partner closely with architecture, software, silicon, product management, marketing, and customer-facing teams to ensure AMD solutions achieve competitive leadership in AI workloads spanning Robotics, Physical AI, Automotive, Industrial, and Edge Computing.
Why Join Physical AI Organization?
Join a fast-growing organization shaping AMD's vision for Physical AI, Robotics, Automotive, Industrial, and Edge AI solutions. This role offers the opportunity to influence next-generation AI platforms, build world-class engineering teams, and drive technology that powers intelligent systems across a wide range of industries.
Success Metrics
  • Performance-per-watt leadership against competitive solutions.
  • AI workload enablement and optimization coverage across strategic platforms.
  • Customer adoption and design-win support effectiveness.
  • Engineering productivity improvements through automation and tooling.
  • Delivery of trusted, reproducible, customer-ready performance data.
  • Successful execution of roadmap commitments and organizational growth.

Key Responsibilities
Technical Leadership
  • Define and execute AI power and performance strategy across AMD CPU, GPU, NPU, and heterogeneous computing platforms.
  • Establish benchmarking methodologies, performance KPIs, competitive analysis frameworks, and workload characterization processes.
  • Drive performance optimization across AI models, runtimes, kernels, frameworks, and system software stacks.
  • Identify bottlenecks and influence hardware, firmware, runtime, and software roadmap decisions through data-driven analysis.

Product and Solution Enablement
  • Lead performance readiness for AI solutions across Robotics, Physical AI, Automotive, Industrial, and Edge AI markets.
  • Develop customer-ready performance collateral, benchmarking reports, tuning recommendations, and competitive positioning data.
  • Partner with software engineering teams to validate AI models, inference pipelines, SDKs, frameworks, and application workloads.
  • Ensure performance scalability, efficiency, reliability, and production readiness across deployed solutions.

Team Leadership
  • Build, lead, mentor, and grow a high-performing global engineering organization consisting of AI performance, benchmarking, and automation engineers.
  • Establish clear goals, execution plans, staffing strategies, and career development programs.
  • Foster a culture of innovation, accountability, technical excellence, and customer obsession.

Customer and Cross-Functional Engagement
  • Support strategic customer engagements, design-win efforts, technical escalations, and performance-related discussions.
  • Collaborate with Product Management, Architecture, Software Engineering, Marketing, and Field Engineering teams to define and execute winning AI platform strategies.
  • Represent AMD performance leadership in executive reviews, customer meetings, and industry engagements.

Automation and Infrastructure
  • Drive development of scalable benchmarking, automation, telemetry, profiling, and analytics infrastructure.
  • Establish continuous performance validation frameworks and dashboards for workload tracking and regression analysis.
  • Improve engineering efficiency through CI/CD integration and automated performance qualification systems.

Required Qualifications
  • Proven experience in software engineering, system performance, Edge physical AI, embedded platforms, or related domains.
  • Proven experience leading engineering teams and delivering complex technical programs.
  • Proven experience in Power and Power PnP activities Pre-Silicon and Post-Silicon & Correlation
  • Strong understanding of AI/ML frameworks, inference runtimes, and performance optimization techniques.
  • Experience with heterogeneous computing architectures involving CPUs, GPUs, NPUs, and accelerators.
  • Excellent communication, organizational, and leadership skills.

Preferred Qualifications
  • Experience with AMD AI technologies including ROCm, Ryzen AI, ONNX Runtime, MIGraphX, or other AI software stacks.
  • Experience in Robotics, Physical AI, Automotive, Industrial, or Edge AI markets.
  • Familiarity with generative AI, multimodal AI, computer vision, and robotics workloads.
  • Knowledge of AI benchmarking, profiling tools, performance analysis, and power optimization techniques.
  • Experience working with geographically distributed engineering organizations.

Academic Credentials
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field.

Location: Austin, TX
This role is not eligible for visa sponsorship.
#LI-BW2
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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