1

Performance Tuning Jobs in California (NOW HIRING)

Hands-on experience in critical DBA areas such as performance tuning, troubleshooting, backup/recovery, and high availability in on-prem environmen ts. Responsibili * tiesAdminister, monitor and ...

Python Developer

Fremont, CA · On-site

$55 - $75.75/hr

Write and optimize complex, performant SQL queries for data extraction, integrity checks, and performance tuning. * Contribute to platform modernization by exploring and increasing the adoption of AI ...

Senior SoC Performance Architect

Santa Clara, CA · On-site

$196K/yr

Experience working with firmware, BIOS, power/performance tuning, and system configuration controls. * Experience presenting architectural recommendations to senior technical leadership. What You ...

Sr .NET Engineer

San Jose, CA · On-site

$122K - $168K/yr

Performance tuning If Your interested and the above JD is matching your profile Required submittal info: * - Full legal name * - Contact info (phone, email, skype) * - Visa status and expiration (mm ...

Database Architect- AWS

Westlake Village, CA · On-site

$67 - $86.25/hr

Minimum of 5 years of experience with Microsoft SQL Server, including database design, administration, performance tuning, and high availability solutions, with a strong focus on automation and ...

Sr .NET Engineer

San Jose, CA

$122K - $168K/yr

Performance tuning If Your interested and the above JD is matching your profile Required submittal info: * - Full legal name * - Contact info (phone, email, skype) * - Visa status and expiration (mm ...

SQL DBA

San Diego, CA · On-site

$53 - $66.25/hr

Perform performance tuning, query optimization and troubleshooting * Manage backups, restores and high availability (HA/DR) solutions * Ensure database security, integrity and compliance * Develop ...

Vertica Admin

Sunnyvale, CA · On-site

$21.50 - $28.75/hr

Expertise in installing/upgrade and maintaining 50+ Vertica environments. * 5+ year experience in Performance Tuning and Optimization in Vertica which includes projections, partitions. * Maintain ...

SQL Developer

Rancho Cucamonga, CA · On-site

$110K - $112K/yr

Candidates must possess solid work experience in data integration, performance tuning, and enterprise-level data workflows. Skill/Knowledge: Client-Side Developer Requirements: * Ability to utilize ...

Perform advanced query optimization and performance tuning for large scale database systems * Collaborate with production DBAs to troubleshoot and resolve application related database issues * Work ...

next page

Showing results 1-20

Performance Tuning information

See California salary details

$32.1K

$67.4K

$110.5K

How much do performance tuning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for performance tuning in California is $67,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $81,900.00 per year, depending on experience, location, and employer.

What jobs pay $500,000 a year?

In performance tuning, senior roles such as performance engineers, database administrators, or IT consultants with extensive experience and specialized skills can reach or exceed $500,000 annually, especially in high-demand industries or with bonuses and stock options. These positions often require advanced certifications, deep technical expertise, and leadership responsibilities.

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.

How to become a performance tuning specialist?

To become a performance tuning specialist, one should gain expertise in database or system performance analysis, often through a combination of relevant education such as a degree in computer science or information technology and hands-on experience with tools like SQL profilers, monitoring software, or application performance management (APM) tools. Certifications such as Oracle Certified Professional or Microsoft Certified: Azure Solutions Architect can also enhance credibility and job prospects.

How much money can you make tuning cars?

Performance tuning specialists can earn anywhere from $30,000 to over $100,000 annually, depending on experience, skill level, and the complexity of the work. Experienced tuners with a strong reputation or those working in high-end markets can command higher rates, especially if they have certifications and access to advanced diagnostic tools.

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 jobs make $1,000,000 per year?

In performance tuning, high-earning roles such as senior database or systems performance engineers, especially in large corporations or consulting firms, can reach or exceed $1 million annually through base salary, bonuses, and profit sharing. These positions typically require advanced skills in optimization, extensive experience, and often involve leadership or specialized expertise in enterprise environments.
What are the most commonly searched types of Performance Tuning jobs in California? The most popular types of Performance Tuning jobs in California are:
What job categories do people searching Performance Tuning jobs in California look for? The top searched job categories for Performance Tuning jobs in California are:
Infographic showing various Performance Tuning job openings in California as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $67,355 per year, or $32.4 per hour.
Engineering Manager, LLM Performance

Engineering Manager, LLM Performance

Nvidia

Santa Clara, CA • Hybrid

Full-time

Posted 22 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

At NVIDIA, wearen'tjust powering the AI revolution-we'reaccelerating it.We are accelerating LLM inference across the stackand across allopen sourceLLM frameworks like TensorRT LLM,vLLMandSGLang.With demand for AI exploding, particularly in the realm of large language models (LLMs) and vision language models (VLMs, VLAs), we are significantly expanding our team.

We'reseekinga highly skilled and driven Engineering Manager to take the lead inacceleratingthe next generation of LLM/VLM/VLA inference software technologies that will define the future of AI. This is a high-impact, hands-on leadership role at the intersection of deep technicalexpertiseand world-class management. Youwon'tjust manage;you'llarchitect and guide a brilliant team of engineers who arepushing the performance ofLLM inference. Your work will be highly collaborative, interfacing directly with NVIDIA Researchers, GPU Architects, and other teams across the company to ensure we ship production-grade, lightning-fast software that sets the global standard for AI performance.

WhatYou'llBe Doing:

  • Lead and grow a team responsible forpushing the performance of LLM inference across multiple LLM frameworks, including TensorRT LLM,vLLM,SGLangand Dynamoon our datacenter products.

  • Drive the design,implementationand optimization of features that are key to performance in LLM inference.

  • Continuously improve the performance of LLM inference on current and upcoming NVIDIA datacenter architectures and GPUs.

  • Continuously improvethe performance of LLM inference ofimportant foundation models.

  • Work with inference benchmark teams to helptune performance for key workloads.

  • Integratingcutting-edgetechnologies developed at NVIDIA and offering an intuitive developer experience for LLM deployment.

  • Lead software development execution, with responsibility for project planning, milestone delivery, and cross-functional coordination.

What We Need to See:

  • MS, PhD, or equivalent experience in Computer Science, Computer Engineering, AI, ora relatedtechnical field.

  • 7+ overall years of overall software engineering experience, including 3+ years of technical leadership experience.

  • Proven ability to lead and scale high-performing engineering teams, especially across distributed and cross-functional groups.

  • Strong background in C++ or Python, withexpertisein software design and delivering production-quality software libraries.

  • Demonstratedexpertisein large language models (LLM) and/or vision language models (VLM)and/or inference in general.

Ways to Stand Out from the Crowd:

  • Deep understanding of GPU architecture, CUDA programming, and system-level performance tuning.

  • Background in LLM inference or working with frameworks such as TensorRT-LLM,vLLM, orSGLang.

  • Passion for building scalable, user-friendly APIs and enabling developers in the AI ecosystem.

  • Have a proventrack recordof growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

Hours and flexibility

Workplace

Get the full story on Breakroom


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