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Performance Engineering Manager Jobs (NOW HIRING)

Ignatiuz.com

Performance Engineer Architect

Atlanta, GA · On-site

$160K/yr

... engineering Architect with client facing experience. * Must possess a strong knowledge of ... Experience with planning and managing any of the following teams: performance diagnostic, capacity ...

ICANN

Senior Performance Engineer Test

Los Angeles, CA · On-site

... Engineering (SRE), Product Management, and QA teams, this individual will proactively identify performance bottlenecks, optimize system behavior, and establish performance engineering best practices ...

MasterCard

Manager, Software Engineering

O Fallon, MO · On-site

Title and Summary Manager, Software Engineering Our Purpose We connect and power an inclusive ... Own and drive performance engineering practices across teams, including: o Performance testing ...

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Performance Engineering Manager information

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$40K

$99.5K

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How much do performance engineering manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for performance engineering manager in the United States is $99,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $126,000.00 per year, depending on experience, location, and employer.

What is a performance engineering manager?

Performance Engineering Managers are professionals responsible for overseeing teams that ensure software applications and systems operate efficiently and reliably under expected workloads. They focus on optimizing performance, scalability, and stability by identifying bottlenecks, setting performance standards, and implementing best practices. These managers collaborate closely with development, QA, and operations teams to deliver high-performing products, often leveraging tools for monitoring and analysis. Their role also includes mentoring engineers, managing project timelines, and communicating performance goals to stakeholders.

How does a performance engineering manager typically collaborate with development and operations teams to ensure optimal system performance?

A Performance Engineering Manager works closely with both development and operations teams to establish performance benchmarks, identify potential bottlenecks early in the software development lifecycle, and implement performance testing protocols. This role often involves facilitating regular meetings to review performance metrics, coordinating load and stress testing efforts, and providing actionable feedback for code optimization. By fostering open communication and aligning goals across teams, the Performance Engineering Manager ensures that performance considerations are integrated into every stage of product development and deployment.

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

To thrive as a Performance Engineering Manager, you need a solid background in software engineering, performance testing, and systems optimization, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, APM solutions, and cloud platforms is typically required, along with knowledge of performance monitoring and automation frameworks. Strong leadership, analytical thinking, and effective communication are critical soft skills for guiding teams and collaborating across departments. These skills ensure the delivery of high-performing software solutions, drive continuous improvement, and help meet business scalability and reliability goals.

What is the difference between Performance Engineering Manager vs Software Development Manager?

AspectPerformance Engineering ManagerSoftware Development Manager
Primary FocusOptimizing system performance, scalability, and reliabilityOverseeing software development processes and team management
Required SkillsPerformance testing, monitoring tools, system architectureSoftware design, project management, coding
Work EnvironmentCollaboration with QA, DevOps, and infrastructure teamsLeading development teams, coordinating projects
Industry UsageTech companies, cloud services, enterprise softwareSoftware firms, tech startups, enterprise applications

The Performance Engineering Manager focuses on ensuring software and systems perform efficiently and reliably, often working closely with infrastructure and QA teams. In contrast, the Software Development Manager oversees the entire software development lifecycle, managing developers and project timelines. Both roles require technical expertise but differ in their core responsibilities and focus areas.

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Performance Engineering Manager jobs near you
Infographic showing various Performance Engineering Manager job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $99,528 per year, or $47.9 per hour.

Engineering Manager, LLM Performance

Nvidia

Santa Clara, CA • Hybrid

Full-time

Re-posted 9 days ago

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

At NVIDIA, we aren't just powering the AI revolution-we're accelerating it. We are accelerating LLM inference across the stack and across all open source LLM frameworks like TensorRT LLM, vLLM and SGLang. 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're seeking a highly skilled and driven Engineering Manager to take the lead in accelerating the 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 technical expertise and world-class management. You won't just manage; you'll architect and guide a brilliant team of engineers who are pushing the performance of LLM 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. What You'll Be Doing: Lead and grow a team responsible for pushing the performance of LLM inference across multiple LLM frameworks, including TensorRT LLM, vLLM, SGLang and Dynamo on our datacenter products. Drive the design, implementation and 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 improve the performance of LLM inference of important foundation models. Work with inference benchmark teams to help tune performance for key workloads.

Integrating cutting-edge technologies 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, or a related technical 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, with expertise in software design and delivering production-quality software libraries.

Demonstrated expertise in 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, or SGLang.

Passion for building scalable, user-friendly APIs and enabling developers in the AI ecosystem. Have a proven track record of 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

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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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