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Performance Engineering Manager Jobs in Reston, VA

Cisco

Senior Engineering Manager, AI

Washington, DC · On-site

The Senior Engineering Manager, AI will lead a team to develop advanced AI systems, define ... for performance, quality, cost efficiency, and maintainability. • Hire, mentor, and grow ...

Northstrat

Software Engineering Manager

Sterling, VA · On-site

Northstrat is seeking a Software Engineering Manager developing next generation signals ... Conduct performance reviews, set professional development goals, and ensure team members have the ...

Northstrat

Software Engineering Manager

Sterling, VA · On-site

Northstrat is seeking a Software Engineering Manager developing next generation signals ... Conduct performance reviews, set professional development goals, and ensure team members have the ...

SAIC

Systems Engineer Manager

Chantilly, VA

Engineering and Sciences Subcategory: Systems Engineer Schedule: Full-Time Shift: Day Job Travel ... Evaluate prime contractor performance at milestone reviews by analyzing compliance with technical ...

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Performance Engineering Manager information

See Reston, VA salary details

$41.6K

$103.5K

$159.7K

How much do performance engineering manager jobs pay per year?

As of Jun 20, 2026, the average yearly pay for performance engineering manager in Reston, VA is $103,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $131,100.00 per year, depending on experience, location, and employer.

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.

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 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.

What are Performance Engineering Managers?

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.
What job categories do people searching Performance Engineering Manager jobs in Reston, VA look for? The top searched job categories for Performance Engineering Manager jobs in Reston, VA are:
What cities near Reston, VA are hiring for Performance Engineering Manager jobs? Cities near Reston, VA with the most Performance Engineering Manager job openings:
Performance Engineering Manager jobs near you
Senior Engineering Manager, AI

Senior Engineering Manager, AI

Cisco

Washington, DC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Cisco Systems rating

8.0

Company rating: 8.0 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

47th of 139 rated electronics manufacturers

Job description

Job Summary:
Cisco, through its subsidiary Splunk, is building a safer digital world with a focus on AI capabilities for high-volume, real-time data. The Senior Engineering Manager, AI will lead a team to develop advanced AI systems, define technical strategies, and collaborate with cross-functional teams to deliver reliable AI-powered experiences.
Responsibilities:
• Lead and develop a team of engineers and AI practitioners building intelligent code generation systems and related platform capabilities.
• Define and execute the technical roadmap for AI initiatives focused on code generation, agentic workflows, and developer tooling.
• Partner with cross-functional teams across engineering, product, and platform to bring AI innovations into production.
• Drive the design, development, evaluation, deployment, and operation of production-grade AI/ML systems.
• Establish best practices for experimentation, benchmarking, model evaluation, observability, reliability, and continuous improvement.
• Guide architectural decisions for distributed training, inference, tool integration, and scalable model-serving systems.
• Balance innovation with operational excellence, ensuring solutions meet high standards for performance, quality, cost efficiency, and maintainability.
• Hire, mentor, and grow technical talent while fostering an inclusive, high-accountability engineering culture.
• Influence long-term AI strategy and investment decisions across the broader organization.
Qualifications:
Required:
• Strong engineering management experience
• Deep technical fluency in machine learning systems
• Experience with large language models
• Experience with production AI platforms
• Ability to lead and develop a team of engineers and AI practitioners
• Experience in defining and executing technical roadmaps for AI initiatives
• Ability to partner with cross-functional teams across engineering, product, and platform
• Experience in driving the design, development, evaluation, deployment, and operation of production-grade AI/ML systems
• Ability to establish best practices for experimentation, benchmarking, model evaluation, observability, reliability, and continuous improvement
• Experience in guiding architectural decisions for distributed training, inference, tool integration, and scalable model-serving systems
• Ability to balance innovation with operational excellence
• Experience in hiring, mentoring, and growing technical talent
• Ability to foster an inclusive, high-accountability engineering culture
• Ability to influence long-term AI strategy and investment decisions
Company:
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press. Founded in 1984, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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