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Performance Engineer Jobs in Mountain View, CA (NOW HIRING)

Anthropic

Performance Engineer

San Francisco, CA · On-site

As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong ...

Astera Labs

Performance Engineer

San Jose, CA · On-site

Discover more at ;br> Senior Performance Engineer Location: San Jose, CA (On-site) Role Overview Astera Labs is a hyper-growth connectivity company enabling the rack-scale AI infrastructure powering ...

Brillius

Performance Engineer

San Francisco, CA · On-site

Job Title Performance Engineer Estimated Start Date 5/6/2026 Location San Francisco, CA Duration(Months) 6 Months Remote Possibility Onsite Required Qualifications * 8+ years of experience working ...

Astera Labs

Performance Engineer

San Jose, CA

Senior Performance Engineer Location: San Jose, CA (On-site) Role Overview Astera Labs is a hyper-growth connectivity company enabling the rack-scale AI infrastructure powering the world's most ...

RadixArk

Performance Engineer

Palo Alto, CA · On-site

They are seeking a Performance Engineer to enhance the performance of their AI systems across various environments, ensuring optimal usability, affordability, and reliability in production.

Astera Labs

Performance Engineer

San Jose, CA · On-site

Senior Performance Engineer Location: San Jose, CA (On-site) Role Overview Astera Labs is a hyper-growth connectivity company enabling the rack-scale AI infrastructure powering the world's most ...

Brillius

Performance Engineer

San Francisco, CA · On-site

Job Title Performance Engineer Estimated Start Date 5/6/2026 Location San Francisco, CA Duration(Months) 6 Months Remote Possibility Onsites 8+ years of experience working within SDLC/TDLC * 6+ years ...

RadixArk

Performance Engineer

Palo Alto, CA · On-site

The Performance Engineer will analyze and improve performance across various production deployments and benchmark LLM inference and training workloads, ensuring optimal operation of AI systems in ...

Anthropic

Performance Engineer

San Francisco, CA · On-site

$280K - $850K/yr

As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong ...

Anthropic

Performance Engineer, GPU

San Francisco, CA · On-site

As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...

Oklo

Fuel Performance Engineer

Santa Clara, CA · On-site +1

$120K - $165K/yr

We are searching for a Fuel Performance Engineer to join our team. Position Description Fuel Performance Engineers at Oklo are responsible for the fuel performance analyses and verification of ...

Oklo

Fuel Performance Engineer

Santa Clara, CA · On-site +1

$120K - $165K/yr

We are searching for a Fuel Performance Engineer to join our team. Position Description Fuel Performance Engineers at Oklo are responsible for the fuel performance analyses and verification of ...

Anthropic

Performance Engineer, GPU

San Francisco, CA · On-site

$280K - $850K/yr

As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible ...

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All JobsPerformance Engineer JobsPerformance Engineer Jobs in Mountain View, CA

Performance Engineer information

See Mountain View, CA salary details

$12

$70

$114

How much do performance engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for performance engineer in Mountain View, CA is $70.38, according to ZipRecruiter salary data. Most workers in this role earn between $57.69 and $79.66 per hour, depending on experience, location, and employer.

What is a performance engineer?

A Performance Engineer is a professional who ensures that software applications and systems run efficiently and meet performance requirements. They analyze, test, and optimize system performance by identifying bottlenecks, conducting load and stress testing, and recommending improvements. Performance Engineers work closely with development and operations teams to ensure that applications can handle expected user loads and deliver a smooth user experience. Their work is crucial in preventing slowdowns, crashes, and other performance-related issues in production environments.

What is performance engineering?

Performance engineering is the development of software solutions for specific business problems. As a performance engineer, your responsibilities are to identify issues, whether for a particular company or an industry, and develop software that directly addresses them. To become a performance engineer, you need a bachelor’s degree in computer science or computer engineering, two to five years of information technology (IT) work experience, and excellent problem solving skills. Organizations like HyPerformix offer professional certifications, like their Enterprise Performance Engineering program, which can significantly boost your qualifications. Your additional job duties include performing routine maintenance and service, experimenting with possible solutions in the test environment, and monitoring system performance.

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

To thrive as a Performance Engineer, you need strong analytical abilities, a solid understanding of software architecture, and experience with load testing and profiling, often supported by a degree in computer science or a related field. Familiarity with tools such as JMeter, LoadRunner, New Relic, and monitoring systems, as well as scripting languages, is typically required. Excellent problem-solving, attention to detail, and effective communication skills help distinguish top performers in this role. These skills and qualities are crucial for identifying system bottlenecks, optimizing performance, and ensuring a seamless user experience.

What are some common challenges performance engineers face when optimizing complex systems?

Performance Engineers often encounter challenges such as identifying bottlenecks in multi-tiered or distributed systems, balancing trade-offs between speed and resource consumption, and ensuring that performance improvements do not compromise system reliability. They frequently work with cross-functional teams, requiring strong communication skills to translate technical findings into actionable recommendations. Staying up-to-date with evolving tools and best practices is also essential, as technology stacks and performance benchmarks continually change.

What is the difference between Performance Engineer vs Software Test Engineer?

AspectPerformance EngineerSoftware Test Engineer
Primary FocusOptimizing system performance, load testing, scalabilityFunctional testing, bug identification, feature validation
Required SkillsPerformance testing tools, scripting, system analysisTest case design, automation, defect tracking
Work EnvironmentDevelopment teams, QA, DevOpsQA teams, development teams
CertificationsPerformance testing certifications (e.g., JMeter, LoadRunner)ISTQB, software testing certifications

Performance Engineers focus on system performance, scalability, and load testing, ensuring applications run efficiently under stress. Software Test Engineers primarily verify functionality and identify bugs. While both roles require testing skills, Performance Engineers specialize in performance metrics and optimization, making their roles complementary but distinct.

How much do performance engineers make in the US?

Performance engineers in the US typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in tools like JMeter or LoadRunner can command higher salaries, often exceeding $150,000.
More about Performance Engineer jobs

What are the most commonly searched types of Performance Engineer jobs in Mountain View, CA?

The most popular types of Performance Engineer jobs in Mountain View, CA are:

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For Performance Engineer jobs in Mountain View, CA, the most frequently searched job titles are:

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The top searched job categories for Performance Engineer jobs in Mountain View, CA are:

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Cities near Mountain View, CA with the most Performance Engineer job openings:

Performance Engineer jobs near you
Infographic showing various Performance Engineer job openings in Mountain View, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $146,387 per year, or $70.4 per hour.

Performance Engineer

Anthropic

San Francisco, CA • On-site

Full-time

Re-posted 8 days ago

Job description

About the role:
Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.
You may be a good fit if you:
  • Have significant software engineering or machine learning experience, particularly at supercomputing scale
  • Are results-oriented, with a bias towards flexibility and impact
  • Pick up slack, even if it goes outside your job description
  • Enjoy pair programming (we love to pair!)
  • Want to learn more about machine learning research
  • Care about the societal impacts of your work
Strong candidates may also have experience with: 
  • High performance, large-scale ML systems
  • GPU/Accelerator programming
  • ML framework internals
  • OS internals
  • Language modeling with transformers
Representative projects:
  • Implement low-latency high-throughput sampling for large language models
  • Implement GPU kernels to adapt our models to low-precision inference
  • Write a custom load-balancing algorithm to optimize serving efficiency
  • Build quantitative models of system performance
  • Design and implement a fault-tolerant distributed system running with a complex network topology
  • Debug kernel-level network latency spikes in a containerized environment

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

Apply