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Telemetry Tech Jobs in California (NOW HIRING)

Bestica

Travel Nurse RN - Telemetry

Bakersfield, CA

$2K - $2K/wk

Telemetry * Discipline: RN * Start Date: 06/29/2026 * Duration: 13 weeks * 36 hours per week ... Information Technology and Healthcare sectors to the DoD, Federal and Commercial markets. Our ...

Bestica

Travel Nurse RN - Telemetry

Simi Valley, CA

$2K - $2K/wk

Telemetry * Discipline: RN * Start Date: 06/22/2026 * Duration: 13 weeks * 36 hours per week ... Information Technology and Healthcare sectors to the DoD, Federal and Commercial markets. Our ...

Bestica

Travel Nurse RN - Telemetry

Glendale, CA

$2K - $2K/wk

Telemetry * Discipline: RN * Start Date: 06/22/2026 * Duration: 13 weeks * 36 hours per week ... About Bestica We are a trusted provider of solutions in Information Technology and Healthcare ...

Bestica

Travel Nurse RN - Telemetry

Simi Valley, CA

$2K - $2K/wk

Telemetry * Discipline: RN * Start Date: 06/29/2026 * Duration: 13 weeks * 36 hours per week ... About Bestica We are a trusted provider of solutions in Information Technology and Healthcare ...

Bestica

Travel Nurse RN - Telemetry

Bakersfield, CA · On-site

$2K - $2K/wk

Telemetry * Discipline: RN * Start Date: 07/27/2026 * Duration: 8 weeks * 36 hours per week * Shift ... Information Technology and Healthcare sectors to the DoD, Federal and Commercial markets. Our ...

Bestica

Travel Nurse RN - Telemetry

Bakersfield, CA

$2K - $2K/wk

Telemetry * Discipline: RN * Start Date: 08/03/2026 * Duration: 8 weeks * 36 hours per week * Shift ... Information Technology and Healthcare sectors to the DoD, Federal and Commercial markets. Our ...

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Telemetry Tech information

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$13

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$42

How much do telemetry tech jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for telemetry tech in California is $22.00, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What do you do as a telemetry tech?

A telemetry technician monitors and records patients' vital signs and cardiac rhythms using specialized equipment, often in a hospital setting. They ensure accurate data collection, troubleshoot equipment issues, and communicate findings to healthcare providers. Certification and knowledge of medical devices are typically required for this role.

What are Telemetry Techs?

Telemetry Techs, also known as telemetry technicians or monitoring technicians, are healthcare professionals responsible for monitoring patients’ heart rhythms using specialized equipment. They observe data from electrocardiogram (EKG) monitors and alert nurses or doctors if they detect abnormal heart patterns. Telemetry Techs play a crucial role in hospitals, especially in cardiac units, by ensuring timely interventions in case of cardiac irregularities. Their duties also include setting up monitoring equipment, documenting readings, and maintaining patient records to support the medical team.

What is the difference between Telemetry Tech vs ECG Technician?

AspectTelemetry TechECG Technician
CertificationsCPR, Basic Life Support (BLS), sometimes advanced certificationsECG/EKG certification, CPR, BLS
Work EnvironmentHospitals, clinics, monitoring centersCardiology labs, hospitals, outpatient clinics
Job ResponsibilitiesMonitoring patient heart rhythms remotely, operating telemetry equipmentPerforming electrocardiograms, preparing patients, analyzing ECG results
Industry UsageCommon in hospitals and cardiac unitsPrimarily in cardiology departments and outpatient settings

Telemetry Techs and ECG Technicians both work in cardiac care, but Telemetry Techs focus on remote monitoring of patient heart rhythms, while ECG Technicians perform and analyze electrocardiograms directly on patients. Certifications overlap, but their roles differ in work environment and responsibilities.

What are the typical daily responsibilities of a Telemetry Tech in a hospital setting?

As a Telemetry Tech, your daily responsibilities revolve around continuously monitoring patients' cardiac rhythms using specialized equipment, promptly identifying and reporting any arrhythmias or irregularities to nursing staff or physicians. You'll often work in a centralized monitoring station, collaborating closely with nurses, doctors, and other healthcare professionals to ensure patient safety. Documentation of readings, maintaining equipment, and sometimes assisting with electrode placement are also part of the routine. Effective communication and attention to detail are essential for managing multiple patients simultaneously and responding swiftly to changes in heart rhythms.

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

To thrive as a Telemetry Tech, you need a solid understanding of cardiac rhythms, ECG interpretation, and basic patient monitoring, typically supported by a high school diploma and a telemetry technician or cardiac monitor technician certification. Familiarity with telemetry monitoring systems, ECG machines, and hospital information software is crucial. Attention to detail, effective communication, and the ability to remain calm under pressure are vital soft skills in this role. These competencies ensure accurate patient monitoring, timely response to cardiac events, and seamless collaboration with healthcare teams, directly impacting patient safety.
What are the most commonly searched types of Telemetry Tech jobs in California? The most popular types of Telemetry Tech jobs in California are:
What are popular job titles related to Telemetry Tech jobs in California? For Telemetry Tech jobs in California, the most frequently searched job titles are:
What job categories do people searching Telemetry Tech jobs in California look for? The top searched job categories for Telemetry Tech jobs in California are:
What cities in California are hiring for Telemetry Tech jobs? Cities in California with the most Telemetry Tech job openings:
What are popular job titles related to Telemetry Tech jobs in CA? For Telemetry Tech jobs in CA, the most frequently searched job titles are:
Telemetry Tech jobs near you
Infographic showing various Telemetry Tech job openings in California as of May 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 38% Full Time, 36% Part Time, 21% Contract, and 2% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $45,753 per year, or $22 per hour.
AI Benchmarking and Telemetry Engineer - NVIS

AI Benchmarking and Telemetry Engineer - NVIS

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 20 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a skilled HPC/AI Benchmarking and Telemetry Engineer to join our team and drive performance insights across our most advanced computing infrastructure. In this role, you'll develop and carry out detailed benchmarking approaches for large-scale HPC and AI clusters. You will also build telemetry frameworks that provide access to system performance from the host level through network and data center infrastructure. This is an outstanding opportunity to work where brand-new hardware, software, and infrastructure intersect. You will help NVIDIA and our customers unlock the full potential of GPU-accelerated computing. You'll collaborate with engineering teams, customers, and partners to ensure our platforms deliver outstanding performance and reliability in real-world production environments.
What you'll be doing:
  • Formulate benchmarking methods for high-performance computing and AI tasks. Perform and bring these methods to completion on large-scale GPU clusters. Assess performance metrics to detect optimization opportunities and upgrade architecture.
  • Develop and maintain telemetry infrastructure to capture performance data. This data spans host-level GPU/CPU metrics, network fabric utilization, and power/thermal characteristics within the facility.
  • Collaborate closely with hardware engineering, software development, and customer-facing teams to define performance requirements, fix bottlenecks, and validate configurations against real-world workloads.
  • Deploy and manage observability stacks including monitoring tools like Prometheus, visualization platforms such as Grafana, NVIDIA's DCGM, and custom telemetry solutions to provide actionable insights into cluster health, utilization, and performance trends.
  • Work directly with engineering and collaborate with internal partners to understand their performance requirements, conduct on-site benchmarking engagements, and deliver detailed analysis and recommendations for workload optimization.
  • Maintain extensive knowledge of industry-standard benchmarks in advanced computing and machine learning fields such as HPL, HPCG, MLPerf, and NCCL tests. Contribute to developing new benchmarking methodologies for emerging workloads.

What we need to see:
  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
  • 8+ years of direct experience working with HPC and/or AI infrastructure, including cluster deployment, performance analysis, and benchmarking.
  • Deep expertise in Linux system administration, including kernel tuning, process scheduling, storage I/O optimization, and solving performance issues at scale.
  • Proven experience crafting and implementing telemetry and monitoring solutions for large-scale distributed systems, with proficiency in tools such as Prometheus, Grafana, DCGM, collectd, or similar observability platforms.
  • Solid grasp of GPU architectures, CUDA programming principles, and GPU performance traits in high-performance computing and artificial intelligence workloads.
  • Familiarity with job schedulers (Slurm, PBS, LSF) and container orchestration platforms (Kubernetes, Docker) in HPC/AI environments.
  • Proficiency in Python, Bash, and other scripting languages for automation, data analysis, and workflow orchestration.
  • Excellent analytical and problem-solving skills with the ability to interpret complex performance data and communicate findings to both technical and non-technical audiences.

Ways to stand out from the crowd:
  • Experience with high-performance networking technologies including InfiniBand, RoCE, and Ethernet fabric tuning and performance analysis.
  • Knowledge of parallel filesystems such as Lustre, GPFS, BeeGFS, Weka, or VAST, including performance tuning and benchmarking.
  • Background in power and thermal management for high-density compute environments, including PUE optimization and liquid cooling technologies.
  • Contributions to open-source benchmarking tools or performance analysis frameworks.
  • Industry certifications such as RHCE, CKA, or vendor-specific HPC/data center credentials.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 23, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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