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Lvm Jobs (NOW HIRING)

Jobsbridge

Linux Admin

Cupertino, CA · On-site

Should have detailed knowledge on file system management, LVM, SAN/NAS. Should have working experience on scripting languages i.e python/shell for automation . Candidates who have Puppet skills will ...

Vytwo

Linux VMware System Engineer

Prosper, TX · On-site

$50/hr

Manage LVM configurations during migration, including volume group export/import, logical volume resizing, snapshot based migrations and file system integrity validation * Develop and maintain ...

Noblesoft Technologies

Linux Administrator

Dallas, TX · On-site

Experience in SAN and NAS Storage, RAID and LVM Management * NFS, FTP, IPTABLES, DNS and DHCP Administration * Working knowledge on YUM/Satellite Server * Working Knowledge of Centrify User ...

Arka Infotech Inc

3Par Storage Engineer

Nashville, TN · On-site

HP 3PAR Online Import for XP Host-based data migration tools (e.g., LVM, Robocopy) Qualifications BS Degree Additional Information All your information will be kept confidential according to EEO ...

Spruce Infotech Inc

Linux Architect

Dallas, TX

User Management, Performance Analysis, capacity planning and monitoring Troubleshooting Hardware and Operating system related issue Configuration and administration of LVM and Veritas logical volume ...

Compunnel

RAKOF 403 SYSTEMS ADMINISTRATOR

Princeton, NJ · On-site

Configuring and managing HA servers using VCS, experience on implementing DNS, NFS, mail Servers and Apache Web Servers, experience on LVM and Veritas Volume Manager. Implementing backups, developing ...

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$36.5K

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How much do lvm jobs pay per year?

As of Jul 16, 2026, the average yearly pay for lvm in the United States is $90,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $113,500.00 per year, depending on experience, location, and employer.

What is the highest paying LVN job?

The highest paying LVN (Licensed Vocational Nurse) jobs are often in specialized settings such as intensive care units, emergency rooms, or working with private agencies providing home health care. Salaries can vary based on experience, location, and certifications, with some roles offering higher pay due to increased responsibility or required skills.

What is an LV job?

An LV job typically refers to a role involving low voltage electrical work, such as installing, maintaining, or repairing electrical systems that operate at low voltages. These jobs often require specialized knowledge of electrical codes, safety procedures, and may involve certifications like an electrical license or apprenticeship training.

What are the typical daily responsibilities of an LVM in a healthcare facility?

As an LVM, your daily responsibilities generally include monitoring patient vital signs, administering medications, assisting with personal care, and updating medical records. You’ll often collaborate closely with registered nurses, physicians, and other healthcare staff to ensure patients receive comprehensive and high-quality care. Additionally, you may provide health education to patients and their families, respond to patient concerns, and participate in routine clinical procedures. The role offers a mix of hands-on patient care and administrative tasks, making it a dynamic and rewarding position for those who thrive in fast-paced medical environments.

What jobs pay 4000 a week without a degree?

Jobs that can pay $4,000 a week without a degree often include skilled trades such as commercial truck driving, construction management, or HVAC technicians, which may require certifications or licenses. Sales roles, real estate agents, and certain entrepreneurial ventures can also reach this income level with experience and strong performance, often involving flexible schedules and commission-based pay. However, these roles typically demand specific skills, training, or licensing rather than formal degrees.

What is an LVM job?

An LVM (Licensed Veterinary Medicine) job typically refers to a licensed veterinarian responsible for diagnosing, treating, and preventing diseases in animals. They may work in private clinics, animal hospitals, research facilities, or livestock management. Their duties include performing surgeries, prescribing medications, and advising pet owners or farmers on animal care. An LVM must complete veterinary school and obtain the necessary licensing to practice.

What are the key skills and qualifications needed to thrive in the Lvm position, and why are they important?

To excel as an LVM (Licensed Vocational Nurse), you need foundational nursing skills, basic medical knowledge, and completion of a state-approved nursing program with a valid vocational nursing license. Familiarity with electronic health record (EHR) systems, clinical tools, and infection control protocols is essential. Compassion, attention to detail, and strong communication are crucial for building rapport with patients and collaborating with healthcare teams. These skills ensure effective patient care, regulatory compliance, and efficient team operations in various healthcare settings.

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What states have the most Lvm jobs? States with the most job openings for Lvm jobs include:
What job categories do people searching Lvm jobs look for? The top searched job categories for Lvm jobs are:
Lvm jobs near you
Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation

Senior Software Engineer, AI Infrastructure - LVM Inference & Evaluation

Ambient AI

Redwood City, CA • On-site

$168K - $205K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New

Job description

Build a safer world with us, one incident at a time.
Ambient.ai is the category creator and leader in Agentic Physical Security. Powered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The results: 95% fewer false alarms, investigations 20x faster, and 10x faster response.
The momentum speaks for itself: we doubled new ARR in FY26, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA. That kind of momentum creates an environment where great people thrive, and it shows: we recently ranked #71 out of 500 on the Forbes best startup employers list.
Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is on a fast-paced journey to fulfill our mission: prevent every security incident possible.
Ready to learn more? Connect with us on LinkedIn and YouTube
About the role:
Reporting to Raghu Nallamothu, you will design, build, and optimize the AI infrastructure that powers Ambient.ai's real-time intelligence platform.
In this role, you will work on the systems required to run state-of-the-art deep learning models across many terabytes of video data in real time. You will help build and scale infrastructure for inference, evaluation, and continuous model improvement across computer vision models, large language models, large vision models, and multimodal AI systems.
This role is ideal for someone with a strong blend of infrastructure engineering, production ML systems, LLM/LVM inference, evaluation harnesses, and inference optimization experience. You will partner closely with research scientists and product engineering teams to bring the latest AI advancements into production for our customers.
What you'll do:
  • Design, build, and maintain cutting-edge AI infrastructure for real-time computer vision, LLM, LVM, and multimodal inference workloads.
  • Build scalable systems for running state-of-the-art models across large volumes of video and sensor data.
  • Optimize inference performance across latency, throughput, GPU utilization, reliability, and cost.
  • Develop robust evaluation harnesses and benchmarking systems to measure model quality, system performance, regressions, and production readiness.
  • Build infrastructure for continuous model evaluation, experimentation, and deployment.
  • Partner with research scientists to productionize the latest advances in computer vision, LLMs, LVMs, RAG, and multimodal AI.
  • Improve model-serving architecture, including batching, caching, routing, quantization, model parallelism, and hardware utilization.
  • Develop data engines and feedback loops for collecting training data, evaluating model behavior, and continuously improving AI performance.
  • Create reliable observability, monitoring, and debugging tools for production AI systems.
  • Help define best practices for deploying, evaluating, and operating AI systems in real-world enterprise environments.

What you'll bring:
  • 4+ years of industry experience building infrastructure, distributed systems, machine learning platforms, or production AI systems.
  • BS/MS in Computer Science or a related technical field, or equivalent practical experience.
  • Strong programming background, especially in Python, with solid software engineering fundamentals.
  • Experience designing and building scalable machine learning infrastructure for training, inference, evaluation, and deployment.
  • Hands-on experience running deep learning models in production, ideally including LLMs, LVMs, vision-language models, or multimodal models.
  • Strong understanding of inference optimization techniques, including batching, caching, quantization, parallelism, memory optimization, GPU utilization, and latency reduction.
  • Experience with model-serving frameworks or systems such as vLLM, Triton Inference Server or similar technologies.
  • Experience building evaluation frameworks, test harnesses, benchmarks, regression tests, or model-quality measurement systems.
  • Strong background in machine learning and deep learning; computer vision experience is a strong plus.
  • Experience designing data engines or pipelines for collecting, managing, and curating training and evaluation data.
  • Familiarity with integrating advanced AI systems such as LLMs, LVMs, RAG pipelines, embedding models, or multimodal models into production applications.
  • Experience with cloud infrastructure, containers, orchestration, distributed systems, and GPU-based workloads.
  • Strong collaboration and communication skills, with the ability to work effectively with research scientists, product teams, infrastructure teams, and stakeholders.
  • Proactive problem-solving ability, a strong ownership mindset, and adaptability to incorporate new AI technologies and methodologies.
Nice to Have
  • Experience operating large-scale GPU infrastructure or distributed inference systems.
  • Experience with CUDA, NCCL, PyTorch, TensorRT, ONNX, or similar ML systems technologies.
  • Experience with video understanding, real-time computer vision, multimodal AI, or physical-world AI systems.
  • Experience with model compression, speculative decoding, distillation, pruning, or low-latency serving techniques.
  • Experience with prompt evaluation, model regression testing, human-in-the-loop evaluation, or automated quality gates.
  • Familiarity with retrieval-augmented generation, vector databases, embedding models, re-rankers, or search infrastructure.
  • Experience building internal ML platforms or tools used by researchers and applied ML teams.
What Success Looks Like
You will be successful in this role if you can build practical, scalable infrastructure that helps Ambient.ai deploy better AI models faster and more reliably. You should be comfortable working across the full stack of production AI systems, from model behavior and evaluation to serving architecture, GPU performance, observability, and customer-facing reliability.
This is a hands-on engineering role for someone excited to help bring the next generation of AI, computer vision, LLMs, and LVMs into real-world production environments.
Why join us:
  • We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible
  • We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne
  • Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company
  • Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan)
  • We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year's for most roles, depending on customer demand)
  • The latest tech and awesome swag will be delivered to your door
  • Enjoy a full range of opportunities to connect with your awesome co-workers
  • We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist

We've found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our talent, engineering, product, design, and marketing teams work from our Redwood City office three days a week. All other Bay Area employees join on Fridays to stay connected and close out the week together.
Ready to learn more? Connect with us onLinkedIn| YouTube
#LI-Hybrid
Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant.

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