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Performance Software Jobs (NOW HIRING)

Zoox

Senior Software Engineer - Performance

Boston, MA

$217K - $307K/yr

The Software Core Performance team's mission is to analyze, optimize, and provide guidance to the software and hardware teams to meet expected system performance targets. As a performance software ...

Zoox

Senior Software Engineer - Performance

Seattle, WA · On-site

$217K - $307K/yr

The Software Core Performance team's mission is to analyze, optimize, and provide guidance to the software and hardware teams to meet expected system performance targets. As a performance software ...

Kalitta Air, LLC

Performance Engineer

Ypsilanti, MI · On-site

... software, to include enroute and takeoff and landing performance software. · Manages, updates, and improves EFB programs, such as charting programs, electronic flight release programs, and ...

Zoox

Senior Software Engineer - Performance

Seattle, WA

$217K - $307K/yr

The Software Core Performance team's mission is to analyze, optimize, and provide guidance to the software and hardware teams to meet expected system performance targets. As a performance software ...

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How much do performance software jobs pay per year?

As of Jul 2, 2026, the average yearly pay for performance software in the United States is $139,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What is performance software engineering?

Performance software engineering is a specialized field focused on optimizing the speed, efficiency, and scalability of software applications. Professionals in this area analyze how software utilizes system resources and identify bottlenecks that can slow down performance. They use various tools and techniques, such as profiling and benchmarking, to improve code and system architecture. The goal is to ensure that applications run smoothly and can handle expected user loads without delays or crashes.

What is the difference between Performance Software vs Performance Analyst?

AspectPerformance SoftwarePerformance Analyst
Required CredentialsTypically requires technical certifications, software proficiency, and sometimes a degree in IT or related fieldsUsually requires a degree in business, finance, or related fields; certifications like CFA or CPA can be beneficial
Work EnvironmentPrimarily technical, involving software tools, data analysis, and system monitoringAnalytical, involving data interpretation, reporting, and strategic recommendations
Employer & Industry UsageUsed across finance, IT, and corporate sectors for performance tracking and optimizationEmployed mainly in finance, consulting, and corporate sectors to assess and improve performance

Performance Software focuses on technical tools and systems to monitor and improve performance metrics, while Performance Analysts interpret data and provide strategic insights. Both roles are essential in optimizing organizational performance but differ in their core functions and required skills.

What are some common challenges faced by Performance Software Engineers, and how can they be addressed during daily work?

Performance Software Engineers often encounter challenges such as identifying bottlenecks in complex systems, managing resource constraints, and balancing optimization with maintainability. Addressing these requires strong analytical skills, familiarity with profiling tools, and close collaboration with development and operations teams. Regular code reviews, continuous performance monitoring, and clear communication with stakeholders are essential practices to proactively detect and resolve issues, ensuring optimal application performance.

What are the key skills and qualifications needed to thrive as a Performance Software Engineer, and why are they important?

To thrive as a Performance Software Engineer, you need strong programming skills (often in languages like C++, Java, or Python), a solid understanding of computer architecture, and experience with performance optimization techniques, typically supported by a degree in computer science or related fields. Familiarity with profiling tools (such as perf, JProfiler, or VTune), benchmarking frameworks, and monitoring systems is essential for analyzing and improving software performance. Analytical thinking, problem-solving abilities, and effective communication help you diagnose issues efficiently and collaborate across development teams. Mastering these skills ensures that software runs efficiently and reliably, meeting user expectations and business requirements.
More about Performance Software jobs
What cities are hiring for Performance Software jobs? Cities with the most Performance Software job openings:
What states have the most Performance Software jobs? States with the most job openings for Performance Software jobs include:
What job categories do people searching Performance Software jobs look for? The top searched job categories for Performance Software jobs are:
Performance Software jobs near you
Infographic showing various Performance Software job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $139,529 per year, or $67.1 per hour.
Model Performance Software Engineer, Claude Code

Model Performance Software Engineer, Claude Code

Anthropic

San Francisco, CA • On-site

$164K/yr

Other

Posted 1 hour ago

Job description

About the Role

We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move-and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself.

Responsibilities

  • Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team

  • Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap

  • Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years

  • Identify the highest-leverage engineering investments-often before anyone has asked for them-and drive them to completion

  • Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them

  • Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale

  • Partner with research leads to translate ambiguous research questions into durable engineering solutions

  • Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health

You may be a good fit if you:

  • Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization

  • Have architected and owned complex, high-stakes systems-pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams

  • Have a history of setting technical direction that others follow-through design docs, architectural decisions, or technical strategy that shaped how a team or org operates

  • Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability

  • Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction

  • Are a power user of agentic coding tools with deep intuition about model capabilities and limitations

  • Can dive into unfamiliar technical domains-ML systems, research workflows, novel infrastructure-and get to the frontier quickly

  • Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of

  • Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both

Strong candidates may also have experience with:

  • Designing or scaling eval/evaluation frameworks for ML systems

  • Reinforcement learning infrastructure or training systems

  • Leading technical initiatives in high-performance, demanding environments-trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm

  • Research computing, scientific infrastructure, or developer platforms at scale

  • A strong quantitative foundation (math, physics, or related fields) 

  • Expertise in Python and TypeScript

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