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Performance Manager Jobs in California (NOW HIRING)

Sales Channel Performance Manager

Cupertino, CA

$178K - $268K/yr

  • Medical

  • Dental

  • Retirement

Description As our Channel Performance Manager, you'll architect and drive the programs that improve how our partners perform, from account management structure and communications visibility, to the ...

Lead regular operational rhythms (weekly/monthly performance reviews) with maintenance partners to track KPIs, monitor scorecard trends, and ensure strict SLA compliance. * Manage Root-Cause ...

Sales Channel Performance Manager

Cupertino, CA · On-site

$187K/yr

Description As our Channel Performance Manager, you'll architect and drive the programs that improve how our partners perform, from account management structure and communications visibility, to the ...

Head of Performance Visibility

San Jose, CA · On-site

$180 - $260/hr

  • Medical

  • Dental

  • Vision

Performance at this scale is no longer a device-level question -- it is a high-performance distributed system problem. You will define the performance metrics that connect raw hardware signals to ...

Showing results 41-60

Performance Manager information

See California salary details

$39.5K

$98.2K

$151.5K

How much do performance manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for performance manager in California is $98,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $124,400.00 per year, depending on experience, location, and employer.

How does a performance manager typically collaborate with other departments to drive organizational success?

Performance Managers work closely with leaders and teams across departments—such as HR, operations, and finance—to align performance metrics with organizational goals. They often facilitate regular meetings to review progress, provide feedback, and identify areas for improvement. This role requires strong communication skills and the ability to translate data insights into actionable strategies that support both team development and business objectives. Effective collaboration ensures that performance initiatives are integrated and sustained throughout the organization.

What is the difference between Performance Manager vs Performance Analyst?

AspectPerformance ManagerPerformance Analyst
Required CredentialsBachelor's degree in Business, HR, or related field; often certifications in performance managementBachelor's degree in Business, Data Analysis, or related; certifications in data analysis or performance metrics
Work EnvironmentOversees teams, collaborates with management, develops performance strategiesAnalyzes data, prepares reports, supports performance improvement initiatives
Employer & Industry UsageCommon in HR, corporate, and organizational settingsUsed in similar environments, often within HR, operations, or consulting firms

The Performance Manager focuses on developing and implementing performance strategies across teams, while the Performance Analyst primarily analyzes data to support performance improvements. Both roles require similar educational backgrounds and are integral to organizational success, but they differ in scope and daily responsibilities.

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

To thrive as a Performance Manager, you need a strong background in analytics, goal-setting frameworks, and organizational development, often supported by a degree in business or human resources. Familiarity with performance management systems, HR analytics tools, and project management software is typically required. Excellent communication, leadership, and problem-solving abilities set standout candidates apart in this role. These skills and qualities are crucial for driving employee productivity, aligning team objectives with organizational goals, and fostering a culture of continuous improvement.

What is a performance manager?

A performance manager seeks to create a system in which employees can perform at their best by creating clear goals and expectations. Rather than a traditional corporate system of employee appraisal and evaluation, performance managers try to communicate end goals and align each employee’s work with these aims. In this role, you may seek the development of benchmarks so that the company’s departments or groups can measure their progress concretely. This is an ongoing effort. Benchmarks and goals must change, so you must continually find new ways to measure progress and to inspire effort.

What are the most commonly searched types of Performance jobs in California?

The most popular types of Performance jobs in California are:

What are popular job titles related to Performance Manager jobs in California?

For Performance Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Performance Manager jobs in California look for?

The top searched job categories for Performance Manager jobs in California are:

What cities in California are hiring for Performance Manager jobs?

Cities in California with the most Performance Manager job openings:

Infographic showing various Performance Manager job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $98,224 per year, or $47.2 per hour.

Engineering Manager, LLM Performance

Nvidia

Santa Clara, CA • Hybrid

Full-time

Re-posted 22 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 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 August 9, 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

Pay

Benefits

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