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Performance Optimization Engineer Jobs in Texas (NOW HIRING)

RWE Gruppe

Sr Engineer I, BESS Optimization

Austin, TX · On-site

$125 - $150/hr

... Optimization Engineer. This position within the BESS Technology Optimization team will be ... Influence system architecture standards and performance expectations across projects * Contribute ...

RWE

Sr Engineer I, BESS Optimization

Austin, TX · On-site

$140K - $150K/yr

... Optimization Engineer I . This position within the BESS Technology Optimization team will be ... Influence system architecture standards and performance expectations across projects * Contribute ...

Origis Energy

Operational Performance Engineer

Austin, TX · On-site

... performance optimization, and long-term operation of solar and energy storage plants across the U.S ... The Origis team,regarded as one of the leading developers in the U.S., is committed to living five ...

Photon

QA Engineer (Performance)- Dallas, TX

Dallas, TX · On-site

$138K/yr

We are looking for a Performance QA Engineer to specialize in benchmarking and optimizing our Agentic AI platform . You will be the gatekeeper of the "User Experience of Thought," ensuring that as ...

Photon

QA Engineer (Performance)- Dallas, TX

Dallas, TX · On-site

$138K/yr

We are looking for a Performance QA Engineer to specialize in benchmarking and optimizing our Agentic AI platform . You will be the gatekeeper of the "User Experience of Thought," ensuring that as ...

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Performance Optimization Engineer information

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.

What cities in Texas are hiring for Performance Optimization Engineer jobs?

Cities in Texas with the most Performance Optimization Engineer job openings:

Senior Power Analysis and Optimization Engineer

Austin, TX • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$103K - $142K/yr

Full-time

Re-posted 17 days ago

Key responsibilities

  • Analyze fullchip and unitlevel power using industry-standard RTL and gatelevel power tools and translate data into design and architectural improvements.

  • Develop and productionize power-aware models and flows, including ML/RL-based techniques for anomaly detection, dynamic power management, and design space exploration.

  • Prototype and evaluate new architectural features in Verilog with a focus on their power and energy implications.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We're looking for a Senior Power Architecture & Optimization Engineer to push the limits of energy efficiency using advanced analytics and AI, including LLMs trained specifically for power analysis.

NVIDIA's leadership in accelerated computing depends on building the most energyefficient GPUs and SoCs in the industry. As AI and graphics workloads scale explosively, we believe that Power Analysis and Optimization driven by AI and LLMs is the future-and a key differentiator for our next generations of GPUs and Tegra SoCs. In this role, you'll be at the center of that effort-combining power architecture expertise with machine learning, reinforcement learning, data analytics, and large language models (LLMs) to invent new ways to model, analyze, and optimize energy consumption across fullchip and unitlevel designs.

What You'll Be Doing:

  • Analyze fullchip and unitlevel power using internal and industrystandard RTL and gatelevel power tools, and translate data into concrete design and architectural improvements.

  • Develop and productionize poweraware models and flows, including ML/RLbased techniques for anomaly detection, dynamic power management, and designspace exploration.

  • Design and train new LLMs that "learn the art" of power analysis from design data, power reports, bug histories, and best practices-so they can:

    • Assist engineers in interpreting complex power data

    • Propose likely root causes and candidate fixes

    • Recommend architectural and microarchitectural optimizations for power

  • Perform comparative power analysis across workloads, products, and design options to identify trends, anomalies, and optimization opportunities that aren't obvious from first principles alone.

  • Partner closely with Architects, Performance, Software, ASIC Design, and Physical Design teams to interpret power data, rootcause power bugs, and drive fixes and design changes.

  • Prototype and evaluate new architectural features in Verilog, with a strong focus on their power and energy implications.

  • Automate and scale flows (Python/Perl/C++), and define new pipelines that fasttrack power anomaly detection and close the loop between power data, AI models, and design decisions.

  • Apply AI to power optimization: build and deploy datadriven models-using machine learning, reinforcement learning, data analytics, and custom LLMs-to recommend or automatically tune powerefficient configurations and policies.

What We Need To See:

  • MS (or equivalent experience) and 5yrs experience OR PHD + 3yr experience in EE/CE/CS or related fields.

  • Strong understanding of energy consumption, power estimation, data movement, and lowpower design.

  • Familiarity with Verilog and ASIC design principles, and handson experience with tools such as PowerArtist, PrimePower/PrimePower RTL, RTL Architect, or similar.

  • Solid coding and automation skills, preferably in Python, Perl, and C++.

  • Experience or strong interest in machine learning, reinforcement learning, and data analytics, ideally applied to EDA, architecture, or systemlevel optimization.

  • Interest or experience in building and using LLMs or other foundation models as engineering copilots-especially for EDA/power/architecture workflows.

  • Excellent communication and collaboration skills to work effectively with crossfunctional design and architecture teams.

  • A genuine desire to bring datadriven, AIassisted decisionmaking into power architecture and help shape the energy profile of NVIDIA's future products.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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