ZipRecruiter

Log In

1

Performance Systems Jobs (NOW HIRING)

Motional

Machine Learning Systems Engineer

Boston, MA · On-site +1

Performance Profiling & Optimization : Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement ...

Nvidia

AI Inference Performance Engineer

Santa Clara, CA · Hybrid

$164K/yr

Proven track record of delivering measurable performance improvements in deep learning inference or high-performance systems. * Deep understanding of LLM/VLM architectures and inference mechanics ...

Bridge Core (BCore)

Systems Engineer

Herndon, VA · On-site

Monitor the performance systems to analyze the metrics produced to identify areas of improvements and report potential anomalies. * Emergency after hours engineering support as needed. * Communicate ...

Bridge Core (BCore)

Systems Engineer

Herndon, VA · On-site

Monitor the performance systems to analyze the metrics produced to identify areas of improvements and report potential anomalies. * Emergency after hours engineering support as needed. * Communicate ...

Comtech, LLC

Performance Tester

Calverton, MD · On-site

... System (ISMS), and CMMI-DEV Level 3" Key Responsibilities: - Supports Test Lead in upward ... Creates performance test approach and strategy from system requirements and design documents ...

Comtech, LLC

Performance Tester

Calverton, MD · On-site

The Performance Tester will support efforts to validate the solution design by testing the ... Experience with DHS Systems Engineering Life Cycle (SELC) Preferred skills and qualifications:

A1FED Inc

This role requires a proactive individual with strong problem-solving skills and a commitment to maintaining high-performance systems. Key Responsibilities: * Install, configure, and maintain IBM z ...

Apple

System Performance Engineer

Beaverton, OR · On-site

... systems. Our team is collaborative, creative and passionate about what we do and the value we add in future product designs. Come join us! Description As a System Performance Engineer, you will play ...

next page

Showing results 1-20

All JobsPerformance Systems Jobs

Performance Systems information

See salary details

$32.5K

$68.2K

$112K

How much do performance systems jobs pay per year?

As of Jun 20, 2026, the average yearly pay for performance systems in the United States is $68,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What are Performance Systems?

Performance Systems refer to frameworks, tools, and processes used by organizations to monitor, manage, and improve the efficiency and effectiveness of their operations and employees. These systems collect and analyze data on key performance indicators (KPIs) to help identify areas for improvement and ensure organizational goals are met. Common components include performance appraisals, goal-setting, feedback mechanisms, and performance analytics software. By using Performance Systems, companies can foster accountability, drive productivity, and support continuous improvement.

How does a Performance Systems professional typically collaborate with other departments to improve organizational outcomes?

Performance Systems professionals regularly work with teams across the organization, such as IT, operations, HR, and leadership, to analyze existing processes and identify areas for improvement. They facilitate data-driven discussions, help set key performance indicators (KPIs), and implement performance monitoring tools. Effective collaboration often involves presenting insights to stakeholders, training staff on new systems, and ensuring alignment between departmental goals and overall business objectives. This cross-functional teamwork is essential for driving continuous improvement and achieving measurable results.

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

To thrive as a Performance Systems Specialist, you need a solid understanding of data analysis, systems optimization, and process improvement, often supported by a degree in engineering, computer science, or a related field. Familiarity with performance monitoring tools, business intelligence platforms, and certifications such as Six Sigma or ITIL is typically expected. Strong problem-solving abilities, communication, and adaptability are vital soft skills for effectively collaborating and implementing solutions. These skills are crucial for enhancing organizational efficiency, driving continuous improvement, and ensuring that systems operate at peak performance.

What is the difference between Performance Systems vs Performance Analysts?

AspectPerformance SystemsPerformance Analysts
Required CredentialsTypically certifications in performance management, systems analysis, or related fieldsOften hold degrees in business, finance, or data analysis, with certifications in performance measurement
Work EnvironmentFocus on implementing and managing performance systems within organizationsAnalyze data to assess performance, often working with performance systems
Employer & Industry UsageUsed across industries for performance management and system implementationCommonly employed in finance, healthcare, and corporate sectors for performance evaluation

Performance Systems professionals focus on designing, implementing, and maintaining performance management systems, while Performance Analysts analyze data to evaluate organizational performance. Both roles often collaborate but differ in their primary focus—system management versus data analysis.

More about Performance Systems jobs
What job categories do people searching Performance Systems jobs look for? The top searched job categories for Performance Systems jobs are:
Performance Systems jobs near you
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Boston, MA • On-site, Remote

Other

Posted 9 days ago

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply