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Performance Monitoring Engineer Jobs in California

Aquent

PHM Engineer

Foster City, CA · On-site

$61.76 - $68.62/hr

Join a pioneering team as a Prognostics & Health Monitoring Engineer and play a critical role in ... standards of performance for a revolutionary product. What You'll Do: * Define technical ...

Slope

Training Performance Engineer

San Francisco, CA · On-site

$250 - $460/hr

About the Role As a Training Performance Engineer, you'll drive efficiency improvements across our ... Build tooling to monitor and visualize MFU, throughput, and uptime across clusters. * Partner with ...

New

OpenAI

Training Performance Engineer

San Francisco, CA · On-site

$250K - $445K/yr

About the Role As a Training Performance Engineer, you'll drive efficiency improvements across our ... Build tooling to monitor and visualize MFU, throughput, and uptime across clusters. * Partner with ...

AFL

System Performance Engineer

Los Angeles, CA · On-site

This position supports technical activities for the ongoing maintenance and monitoring of wireless ... The Performance Engineer will use RF test equipment to evaluate system performance, evaluate ...

Tekaccel, Inc

Senior DevOps Engineer

Rocklin, CA · On-site

$135K - $174K/yr

... Engineer Location: Rocklin, CA, Onsite Client: Williams-Sonoma Job Overview Williams-Sonoma is ... Monitor application and infrastructure performance using tools such as AppDynamics and Nagios

Deegit Inc

Performance Test Engineer

Sunnyvale, CA · On-site

Position: Performance Test Engineer Duration: 6+ Months Location: Sunnyvale CA Detailed JD for ... • Monitor the server side metrics through Hubble, Foglight, HP Performance manager • Trouble ...

Nuro

Software Engineer, Performance

Mountain View, CA · On-site

$160K - $240K/yr

Analyze, profile, debug, monitor, and optimize the performance of AV software * Design and develop ... Work with engineers from different teams to define the system-level architecture and building ...

Nuro

Software Engineer, Performance

Mountain View, CA · On-site

$160K - $240K/yr

Analyze, profile, debug, monitor, and optimize the performance of AV software * Design and develop ... Work with engineers from different teams to define the system-level architecture and building ...

Nuro

Software Engineer, Performance

Mountain View, CA

$160K - $240K/yr

Analyze, profile, debug, monitor, and optimize the performance of AV software * Design and develop ... Work with engineers from different teams to define the system-level architecture and building ...

Fortinet, Inc.

DevOps Engineer

Santa Clara, CA · On-site

$130K - $180K/yr

Monitor system performance, troubleshoot issues, and ensure high availability and reliability of ... Provide technical expertise and DevOps best practices consultation to various teams

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Performance Monitoring Engineer information

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$10

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$96

How much do performance monitoring engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for performance monitoring engineer in California is $59.32, according to ZipRecruiter salary data. Most workers in this role earn between $48.65 and $67.12 per hour, depending on experience, location, and employer.

How does a performance monitoring engineer typically collaborate with development and operations teams to resolve system issues?

Performance Monitoring Engineers play a crucial liaison role between development and operations teams. When system performance anomalies or bottlenecks are detected, these engineers provide detailed reports and real-time metrics, enabling developers to identify root causes and operations to implement timely fixes. They often participate in cross-functional meetings, sharing insights and recommendations to optimize applications and infrastructure. This collaborative approach ensures that performance issues are addressed proactively and that both teams are aligned on resolution strategies.

What is the difference between Performance Monitoring Engineer vs Network Operations Engineer?

AspectPerformance Monitoring EngineerNetwork Operations Engineer
Primary FocusMonitoring and analyzing system performance metricsManaging and maintaining network infrastructure
CertificationsNetwork+, CCNA, or similarCCNA, Network+, or similar
Work EnvironmentData centers, IT departments, cloud environmentsNetwork operation centers, enterprise networks
Industry UsageIT, telecommunications, cloud servicesTelecommunications, enterprise IT

While both roles involve network and system knowledge, the Performance Monitoring Engineer primarily focuses on analyzing system performance data to optimize operations, whereas the Network Operations Engineer manages the day-to-day network infrastructure and troubleshooting. Understanding these differences helps in choosing the right career path or job search focus.

What does a performance monitoring engineer do?

A Performance Monitoring Engineer is responsible for tracking, analyzing, and optimizing the performance of systems, applications, or networks within an organization. They use specialized tools to identify bottlenecks, monitor system health, and ensure that performance standards are met. Their work helps to prevent downtime, improve user experience, and support overall business objectives. Performance Monitoring Engineers often collaborate with IT teams to implement solutions and maintain optimal system functionality.

What skills and qualifications are needed to thrive as a performance monitoring engineer?

To thrive as a Performance Monitoring Engineer, you need a solid background in computer science or IT, strong analytical skills, and experience with system performance analysis. Familiarity with monitoring tools like Nagios, Dynatrace, or New Relic, as well as knowledge of scripting languages and performance testing frameworks, is typically required. Excellent problem-solving abilities, communication, and attention to detail are crucial soft skills for this role. These skills and qualities ensure proactive identification and resolution of system bottlenecks, maintaining optimal application and infrastructure performance.
What are popular job titles related to Performance Monitoring Engineer jobs in California? For Performance Monitoring Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Performance Monitoring Engineer jobs in California look for? The top searched job categories for Performance Monitoring Engineer jobs in California are:
What cities in California are hiring for Performance Monitoring Engineer jobs? Cities in California with the most Performance Monitoring Engineer job openings:
Performance Monitoring Engineer jobs near you

PHM Engineer

Aquent

Foster City, CA • On-site

$61.76 - $68.62/hr

Temporary

Re-posted 20 days ago

Job description

Placement Type:
Temporary
Salary:
$61.76-68.62 Hourly
W2
Start Date:
Aug 11, 2026
At Aquent, we partner with groundbreaking companies that are redefining industries. We are currently collaborating with a visionary leader in autonomous technology, dedicated to creating safe, sustainable, and accessible transportation solutions. This company is at the forefront of innovation, building a future where mobility is seamless and intelligent.
Join a pioneering team as a Prognostics & Health Monitoring Engineer and play a critical role in ensuring the reliability and longevity of cutting-edge autonomous vehicle technology. You will be instrumental in developing sophisticated algorithms that predict potential issues before they arise, directly impacting the safety, efficiency, and operational excellence of an advanced fleet. Your expertise will empower maintenance teams to proactively address component health, optimize schedules, and maintain the highest standards of performance for a revolutionary product.
What You'll Do:
  • Define technical requirements for new health monitors by identifying problems, necessary telemetry data, and validation data.
  • Design and train data-driven and/or physics-based prognostic models to detect faults and estimate the Remaining Useful Life (RUL) of critical hardware components.
  • Develop offline diagnostic algorithms to detect anomalies, wear-and-tear patterns, and early fault indicators using batch telemetry, sensor logs, and historical maintenance data.
  • Clean, filter, and extract relevant features from large volumes of time-series sensor data (e.g., vibration, temperature, voltage, pressure).
  • Perform large-scale ETL and data manipulation using powerful data processing frameworks on cloud-based platforms.
  • Engineer, package, and deploy developed models using production-grade pipelines.
  • Design and implement fleet result dashboards to visualize monitor output.
  • Develop a robust alerting strategy, secure stakeholder confirmation, and configure alert delivery.
  • Rigorously back-test prognostic models against historical failure data to ensure high accuracy, low false-positive rates, and reliability.
  • Provide clear technical documentation of model architectures, deployment procedures, and codebases to ensure a smooth handover at the end of the contract.

Must-Have Qualifications:
  • BS Degree in Mechanical Engineering, Electrical Engineering, Data Science, or a related field.
  • 3+ years of experience specifically focused on Prognostics and Health Management (PHM), predictive maintenance, or reliability engineering.
  • Expertise in Python and powerful data processing frameworks for large-scale data manipulation, ETL, and feature engineering.
  • Hands-on experience working with cloud-based data platforms for development, deployment, and dashboard creation.
  • Hands-on experience deploying and scheduling analytical workflows using workflow orchestration tools.
  • Proficiency with version control using modern systems.
  • Deep understanding of anomaly detection, time-series forecasting, survival analysis, and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Experience applying signal processing techniques (e.g., FFT, wavelet transforms, filtering) to raw sensor data.
  • Familiarity with deploying batch-processing or offline analytical scripts using containerization, cloud data pipelines, or similar infrastructure.
  • Solid understanding of hardware mechanics, fatigue, degradation models, or failure modes (FMEA/FMECA).

Nice-to-Have Qualifications:
  • Prior experience in the Automotive/Aerospace sector.
  • Experience working with large-scale data storage and querying (SQL, distributed computing platforms, etc.).
  • Master's or Ph.D. in Mechanical Engineering, Electrical Engineering, Data Science, or a related field.

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