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Director Pyxis Jobs in Washington (NOW HIRING)

Syra Health

Pharmacist

Washington, DC · On-site

... Director (OMD). The mission of DHCF is to improve health outcomes by providing access to ... with Pyxis or similar automatic dispensing systems. * Licensure & Certifications: Must have a ...

Prince George's Community College

Pharmacy Technician

Largo, MD · Hybrid

$17.75 - $21.75/hr

Experience using QS1 Pharmacy software and Pyxis medication dispensary. * Subject matter expert in ... Perform all other duties as directed by the Department Chair, Program Coordinator, or designee. Job ...

Prince George's Community College

Pharmacy Technician

Largo, MD · On-site

$17.25 - $21/hr

Experience using QS1 Pharmacy software and Pyxis medication dispensary. * Subject matter expert in ... Perform all other duties as directed by the Department Chair, Program Coordinator, or designee. Job ...

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Director Pyxis information

What are some common challenges faced by a Director Pyxis in healthcare settings, and how can these be addressed?

A Director Pyxis often faces challenges such as ensuring system reliability, integrating Pyxis with other hospital technologies, and managing user training across departments. Balancing security, regulatory compliance, and user accessibility is also critical. To address these challenges, Directors typically work closely with IT, pharmacy, and nursing teams, implement regular system audits, and provide ongoing education to staff to ensure safe and efficient medication management.

What is the difference between Director Pyxis vs Pharmacist?

AspectDirector PyxisPharmacist
CredentialsTypically requires a pharmacy degree and licensureRequires a Doctor of Pharmacy (Pharm.D) degree and licensure
Work EnvironmentOversees medication management systems, often in hospitals or healthcare facilitiesDispenses medications, provides patient counseling, works in pharmacies or hospitals
Industry UsageUsed in healthcare settings managing pharmacy automation systemsPracticed in pharmacy settings, hospitals, clinics

The main difference is that the Director Pyxis focuses on managing pharmacy automation systems and overseeing medication distribution processes, while the Pharmacist is directly involved in dispensing medications and patient care. Both roles require pharmacy credentials, but their responsibilities and work environments differ significantly.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as Chief Executive Officers, Chief Financial Officers, and other C-suite positions, often in large corporations. Senior roles in investment banking, private equity, and specialized medical fields like neurosurgery or orthopedic surgery can also offer compensation in this range, especially with bonuses and profit sharing. These positions typically require advanced degrees, extensive experience, and leadership skills.

Who is the CEO of Pyxis?

Pyxis is a healthcare technology company, and as of now, the CEO is David M. Ting. The company focuses on medication management solutions and employs professionals with expertise in healthcare and technology leadership.

What are Director Pyxis roles and responsibilities?

A Director Pyxis is typically responsible for overseeing the implementation, management, and optimization of Pyxis automated medication dispensing systems within healthcare facilities. They ensure compliance with regulatory requirements, supervise staff involved with medication distribution, and coordinate with pharmacy and nursing departments to streamline medication management processes. Additionally, they analyze system performance, manage budgets, and drive process improvements to enhance patient safety and operational efficiency.

How much do you get paid at Pyxis Oncology?

The salary for a Director at Pyxis Oncology typically ranges from $150,000 to $200,000 annually, depending on experience and location. Compensation may also include bonuses and stock options, reflecting industry standards for senior leadership roles in biotech companies.

What is the highest paid oil rig job?

The highest paid oil rig jobs are typically those of drilling engineers, toolpushers, and offshore installation managers, with salaries often exceeding $150,000 annually. These roles require specialized technical skills, certifications, and experience working in challenging offshore environments. Compensation varies based on location, company, and level of expertise.

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

To thrive as a Director, Pyxis, you need extensive experience in healthcare administration, pharmacy operations, and inventory management, usually supported by a degree in pharmacy, business, or healthcare management. Familiarity with Pyxis automated medication dispensing systems, regulatory compliance tools, and data analytics platforms is critical. Strong leadership, strategic planning, and communication skills help drive team performance and ensure safe medication practices. These competencies are vital for optimizing medication distribution, ensuring regulatory compliance, and enhancing patient safety within healthcare organizations.
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Director Pyxis jobs near you
Infographic showing various Director Pyxis job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.
AI Operations & Infrastructure Engineer

AI Operations & Infrastructure Engineer

Invictus International Consulting, LLC

Fort George G Meade, MD • On-site

$175K - $200K/yr

Full-time

Posted 4 days ago

Job description

Title: AI Operations & Infrastructure Engineer

Location: Fort Meade, MD

Clearance: TS/SCI with a CI Polygraph

Job Details:

  • Manage and maintain AI computing platforms, including GPUs and other specialized hardware
  • Install and configure GPU drivers and software
  • Oversee the AI software stack and tools
  • Implement and manage containerization technologies like Docker and Kubernetes
  • Configure and optimize networking infrastructure for AI workloads, including InfiniBand and Ethernet
  • Manage storage solutions for AI data, considering performance and capacity requirements
  • Deploy and manage data processing units (DPUs) to accelerate data center workloads
  • Monitor and manage AI cluster health and resource utilization
  • Implement workload management and scheduling tools like Slurm and Kubernetes
  • Ensure efficient power and cooling for AI infrastructure to maintain optimal operating conditions
  • Configure high-performance networking solutions for AI and machine learning workloads
  • Optimize network performance to ensure maximum throughput and minimal latency for AI computations
  • Implement and fine-tune network protocols to enhance data transfer speeds and efficiency
  • Integrate NVIDIA networking products with existing AI infrastructure, including servers, GPUs, and storage systems
  • Deploy networking solutions in data centers to ensure seamless connectivity between AI components
  • Diagnose and resolve networking issues impacting AI workloads to maintain optimal system performance
  • Provide technical support and guidance to teams managing AI infrastructure
  • Collaborate with data scientists, researchers, and IT professionals to understand networking requirements and challenges
  • Lead deployment and validation of servers and systems for AI enabled platforms
  • Configure and manage network topologies, BMC, OOB, TPM, power, and cooling
  • Install, upgrade, and validate GPU-based servers, BlueField DPUs, cables, and transceivers
  • Perform firmware upgrades, hardware validation, and storage setup
  • Configure and administer physical and logical resources, including M IG partitioning and BlueField platforms
  • Install and configure operating systems, cluster software, drivers, containers (Docker), and NGC CLI
  • Manage and orchestrate clusters using NVIDIA Base Command Manager, Slurm, Pyxis, Enroot, and Run: Ai
  • Perform stress, benchmarking, and burn-in tests using HPL, NCCL, NVIDIA Nemo, and ClusterKit
  • Verify cabling, firmware/software versions, and network signal quality
  • Troubleshoot and resolve hardware, software, storage, and performance faults
  • Replace faulty components and optimize systems for AMD/Intel platforms
  • Monitor, document, and report on cluster health, resource usage, and job performance
  • Ensure secure, efficient, and scalable operation of NVIDIA AI infrastructure, including user access and workload management

Requirements:

  • Qualified candidates must hold an active NVIDIA Professional Certification in either AI Networking, AI Infrastructure, or AI Operations
  • Prior direct, hands-on professional experience administering NVIDIA GPU and data processing unit (DPU) technologies, AI software stacks, and data center environments for high-performance AI workloads
  • Comprehensive expertise in deploying and maintaining AI compute platforms, requiring proficiency in containerization and workload orchestration using Docker, Kubernetes, Slurm, NVIDIA Base Command Manager, and Run:Ai
  • Must be capable of configuring physical and logical resources, including Multi-Instance GPU (MIG) partitioning and BlueField platforms, while overseeing critical facility elements such as power, cooling, and storage solutions
  • The ability to demonstrate advanced skills in AI networking, specifically configuring and optimizing high-performance InfiniBand and Ethernet fabrics to ensure maximum throughput and minimal latency
  • Current active TS/SCI clearance with a CI Polygraph

Equal Opportunity Employer/Veterans/Disabled


Job Posted by ApplicantPro