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Systems Performance Engineer Jobs in California (NOW HIRING)

Broadcom

AI Systems Performance Engineer

San Jose, CA · On-site

Deep familiarity and hands-on experience with Linux operating systems, including system-level performance tuning and troubleshooting. • Programming Skills: Strong proficiency in programming and ...

Broadcom

AI Systems Performance Engineer

San Jose, CA · Remote

$141K - $226K/yr

Deep familiarity and hands-on experience with Linux operating systems, including system-level performance tuning and troubleshooting. * Programming Skills: Strong proficiency in programming and ...

Nvidia

Senior Systems Performance Engineer

Santa Clara, CA

$122K - $167K/yr

... engineers to develop and implement complex automated test plans for our industry leading GPU accelerated computing products. What you will be doing: * System architecture, design, performance ...

SambaNova

Senior AI Systems Performance Engineer

San Jose, CA · On-site

$122K - $167K/yr

About the role We are seeking a talented and driven ML performance engineer to optimize and scale ... In this role, you'll bridge the gap between deep learning and systems performance, collaborating ...

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Systems Performance Engineer information

What is a systems performance engineer?

Systems Performance Engineers are professionals who analyze, monitor, and optimize the performance of computer systems and applications. They identify bottlenecks, run performance tests, and recommend improvements to ensure systems operate efficiently under varying workloads. Their role often involves collaborating with developers and IT teams to resolve issues, improve response times, and ensure scalability. These engineers use specialized tools to collect and interpret performance data, helping organizations maintain reliable and high-performing technology environments.

What are the key skills and qualifications needed to thrive as a systems performance engineer?

To thrive as a Systems Performance Engineer, you need strong analytical abilities, expertise in systems architecture, and a degree in computer science or a related field. Familiarity with performance monitoring tools (like New Relic, Dynatrace, or Splunk), scripting languages, and experience with operating systems and cloud platforms is typically required. Exceptional problem-solving skills, attention to detail, and effective communication help you collaborate across technical teams and resolve complex issues quickly. These skills ensure the optimal performance, reliability, and scalability of critical IT systems, which are vital for business continuity and user satisfaction.

What are some common challenges faced by systems performance engineers in large-scale production environments?

Systems Performance Engineers often encounter challenges such as identifying bottlenecks in complex, distributed systems and dealing with unpredictable performance issues under varying workloads. They must balance optimizing system resources while ensuring minimal downtime and maintaining service reliability. Collaboration with development, operations, and QA teams is crucial to implement performance improvements and proactively address potential scalability concerns. Staying current with new technologies and monitoring tools also helps in effectively troubleshooting and tuning performance.

What are popular job titles related to Systems Performance Engineer jobs in California?

For Systems Performance Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Systems Performance Engineer jobs in California look for?

The top searched job categories for Systems Performance Engineer jobs in California are:

Systems Performance Engineer jobs near you
Infographic showing various Systems Performance Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

AI Systems Performance Engineer

Broadcom

San Jose, CA • On-site

Full-time

Re-posted 10 hours ago

Broadcom rating

8.7

Company rating: 8.7 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers

Job description

Job Summary:
Broadcom is seeking a highly talented and experienced Senior AI Fabric Performance Engineer to take on a critical role within their Performance Lab. This role involves driving the performance benchmarking of AI inference, training, and storage workloads while optimizing the Ethernet fabric that connects the servers.
Responsibilities:
• Benchmarking & Execution: Install, configure, and run industry-standard AI performance benchmarks, with a strong emphasis on MLPerf (Training and Inference) and NCCL tests.
• Fabric Optimization: Tune and optimize network parameters, focusing heavily on Ethernet fabric performance, to ensure seamless data flow for distributed AI workloads running on server clusters.
• Deep Debugging: Identify, isolate, and troubleshoot complex system performance bottlenecks spanning across the Linux OS, server hardware, and Ethernet switches.
• Automation Development: Design, develop, and implement robust performance testing frameworks and automation tools to streamline continuous benchmarking.
• Cross-Functional Collaboration: Document test methodologies, communicate performance findings, and provide actionable improvement recommendations to hardware, software, and networking stakeholders.
Qualifications:
Required:
• Education: Bachelor's / Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field plus 12+ years / 10+ years related industry experience.
• OS Expertise: Deep familiarity and hands-on experience with Linux operating systems, including system-level performance tuning and troubleshooting.
• Programming Skills: Strong proficiency in programming and scripting languages, specifically Python and C++.
• AI/ML Knowledge: Familiarity with modern machine learning frameworks, particularly PyTorch, and a solid understanding of how AI models consume compute and network resources.
• Networking & Fabric: Proven experience in performance testing and validating Ethernet switch systems.
• Analytical Capabilities: Extensive experience with performance metrics, profiling, and benchmarking tools. Strong problem-solving skills with a proven ability to diagnose root causes in complex, distributed systems.
Preferred:
• Experience with RDMA (Remote Direct Memory Access) and RoCEv2 (RDMA over Converged Ethernet).
• Prior experience building CI/CD pipelines for automated hardware or software performance regression testing.
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) used in AI deployments.
Company:
Broadcom is a designer, developer, and global supplier of a broad range of analog and digital semiconductor connectivity solutions. Founded in 1991, the company is headquartered in Palo Alto, USA, with a team of 10001+ employees. The company is currently Late Stage.

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