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Performance Tuning Jobs in Texas (NOW HIRING)

Photon

QA Performance Engineer - Dallas, TX

Dallas, TX · On-site

$138K/yr

Knowledge of database(oracle) performance tuning and query optimization. Exposure to Agile/Scrum methodologies. Compensation, Benefits and Duration Minimum Compensation: USD 38,000 Maximum ...

Photon

QA Performance Engineer - Dallas, TX

Dallas, TX

$138K/yr

Knowledge of database(oracle) performance tuning and query optimization. Exposure to Agile/Scrum methodologies. Compensation, Benefits and Duration Minimum Compensation: USD 38,000 Maximum ...

Nam Info Inc

DB2/AS400 Administrator

Dallas, TX · On-site

$54/hr

The DB2/AS400 Administrator is responsible for the installation, configuration, administration, performance tuning, and ongoing support of IBM i (AS400) systems and DB2 databases. The role ensures ...

iFlow Inc

SAP Basis Administration

Plano, TX · On-site

System Maintenance & Performance Tuning Monitor, tune, and optimize SAP systems for performance, availability, and capacity. Perform upgrades, patching, kernel updates, and system copies/refreshes.

Kanak Elite Services Inc

Senior Database Engineer

Dallas, TX · On-site

$104K - $142K/yr

Demonstrated strength in database performance tuning, optimization, and troubleshooting for enterprise-scale systems. Hands-on with Windows, Linux, and UNIX platforms for database deployment and ...

Programmers.io

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... Performance tuning • Hands on experience with ETL and Dimensional Data Modelling, Slowly Changing Dimensions like Type 1, 2, 3 o Good understanding of concepts like schema types, table types (fact ...

Technoidentity

PL/SQL Developer

Houston, TX · On-site

$48.50 - $61/hr

The ideal candidate will have strong expertise in Oracle databases, PL/SQL programming, and performance tuning, with the ability to support enterprise-level applications. What Will You Be Doing? • ...

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Performance Tuning information

See Texas salary details

$30.3K

$63.6K

$104.3K

How much do performance tuning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for performance tuning in Texas is $63,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $77,300.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Performance Tuning?

A professional in Performance Tuning typically spends their day analyzing system logs, monitoring application and database performance, and identifying areas for optimization. They often collaborate with development, infrastructure, and operations teams to resolve performance bottlenecks and implement enhancements. Routine tasks include running diagnostic tests, applying configuration changes, documenting findings, and sometimes providing training or recommendations to colleagues. This role requires continuous learning to keep up with evolving technologies and best practices in system optimization.

What are the key skills and qualifications needed to thrive in the Performance Tuning position, and why are they important?

To excel in a Performance Tuning role, you need expertise in system optimization, troubleshooting, and in-depth knowledge of database and application performance metrics, often backed by a degree in computer science or information technology. Familiarity with tools like SQL Profiler, APM solutions (such as New Relic or AppDynamics), and experience with relevant certifications (e.g., Oracle Performance Tuning) are highly valued. Analytical thinking, strong problem-solving abilities, and effective communication skills distinguish top performers in this field. These competencies are essential for identifying bottlenecks, implementing solutions, and ensuring smooth, efficient system operations.

What is a Performance Tuning job?

A Performance Tuning job involves analyzing, optimizing, and improving the efficiency of systems, databases, or applications to ensure they run smoothly and efficiently. Professionals in this role identify bottlenecks, optimize queries, adjust configurations, and implement best practices to enhance system performance. They work with developers, database administrators, and IT teams to proactively prevent slowdowns and ensure scalability. This role is critical in maintaining high system availability, improving response times, and optimizing resource utilization.

What are the most commonly searched types of Performance Tuning jobs in Texas? The most popular types of Performance Tuning jobs in Texas are:
What are popular job titles related to Performance Tuning jobs in Texas? For Performance Tuning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Performance Tuning jobs in Texas look for? The top searched job categories for Performance Tuning jobs in Texas are:
What cities in Texas are hiring for Performance Tuning jobs? Cities in Texas with the most Performance Tuning job openings:
Performance Tuning jobs near you
Infographic showing various Performance Tuning job openings in Texas as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $63,584 per year, or $30.6 per hour.
Senior Deep Learning Performance Architect

Senior Deep Learning Performance Architect

Nvidia

Austin, TX

$165K/yr

Full-time

Posted 27 days ago

Job description

We are now looking for a Senior Deep Learning Performance Architect!

NVIDIA is seeking outstanding Performance Architects to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field!

What you'll be doing

  • Design and evaluate hardware architectures to improve performance, efficiency, and scalability of production AI workloads.

  • Analyze and optimize large-scale deep learning workloads, especially LLM inference/training in real-world deployments.

  • Build and use performance and power models (Python/C++) to drive architecture and product decisions.

  • Identify and resolve system bottlenecks across compute, memory, and interconnect.

  • Evaluate PPA trade-offs and guide feature prioritization for next-generation GPU/ASIC designs.

  • Partner closely with software, systems, and product teams to align hardware capabilities with workload requirements.

What we need to see:

  • MS or PhD in a relevant field (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.

  • 5+ years of hands-on experience in GPU/ASIC architecture, parallel computing, or system performance engineering.

  • Experience with deep learning workloads in production environments (training and/or inference).

  • Proficiency in Python and C++ for building performance models, simulators, or analysis tools.

  • Solid understanding of system architecture: memory hierarchy, data movement, and scalability.

  • Prior experience debugging, profiling, and performance tuning on real systems.

  • Ability to work across team and drive decisions in fast-paced product environments.

Ways to stand out from the crowd:

  • Experience translating workload behavior into concrete hardware or system-level improvements.

  • Practical experience with LLM inference optimization: batching, disaggregation, KV-cache management, latency/throughput tuning.

  • Familiarity with production inference systems (e.g., scheduling, multi-node scaling, resource utilization)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 9, 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.
Nvidia logo

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

Year founded

1993

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