August 2023 New Grad Rn Jobs in California

Currently completing or recently completed a Ph.D. in CE/CS/EE or equivalent experience.

2+ years of research work experience in computer architecture, operating systems, system administration, compilers, and/or HPC.

Experience with experimental computer architecture research, software infrastructure development and evaluation.

Experience with C, C++, CUDA, Python, and scripting languages. MPI and NACL would be a plus.

Strong interpersonal skills are needed and being a creative and dynamic presenter is a huge advantage.

Develop novel architectures and system software implementations to enable scalable multi-GPU platforms.

Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience)

Excellent collaboration and interpersonal skills

Great knowledge of common deep-learning frameworks

Experience in processing or curating large-scale datasets

Excellent knowledge of theory and practice of deep learning, computer vision, natural language processing, or computer graphics

Conduct original research in the space of generative AI

Completing or recently completed a Ph.D. in Computer Science/Engineering (or equivalent experience),

Knowledge of machine learning theory with enough depth and breadth.

Strong communication skills and ability to convey research ideas to a broad audience.

Experience in core AI algorithmic research is required. Interest in scientific applications is a plus

Knowledge of machine learning frameworks such as PyTorch and Tensorflow.

Define your research, design and implement cutting-edge machine learning techniques.

Bachelor’s degree or higher in an engineering field (e.g. computer science, electrical engineering, electronic systems engineering, aerospace engineering) or equivalent experience

Semiconductor design, systems engineering, or structured documentation (e.g. DITA, DocBook) experience

Collaborate with architects and designers to find optimal implementations of safety diagnostics in hardware and software

Work on the optimization, automation, and training of engineering teams and development of standard methodologies to ensure speed of light execution

Provide support of third party assessment of NVIDIA safety concepts and SoC implementations

Assist in creation of safety manuals, analysis reports, and user guides

Experience: You have less than nine months paid registered nurse experience by the application date.

Requirements to qualify for the New Grad RN Residency Program:

Resume (include information on clinical rotation (Facility, Unit, Hours).

Cedars-Sinai is calling all New Graduate Registered Nurses!

There's no better time to start your nursing career than now!

**Virtual Interviews will take place on August 23 or August 24, 2023**

Strong Mathematical fundamentals and algorithms skills or experience.

Project management tools (e.g. JIRA, Git, Microsoft Project).

PhD or Masters or equivalent experience.

Experience in Computer Science, Artificial Intelligence, Applied Math.

Excellent programming, debugging, performance analysis, and test design skills.

Ability to work independently and manage individuals’ R&D efforts.

Completing a BS or MS in Computer Science or similar field (or equivalent experience).

Experience with end-to-end Python package delivery ecosystem; from design and development through documentation, CI/CD, packing, distribution, and maintenance.

Experience developing and deploying widely used software tools and APIs at scale.

Experience in building or interacting with continuous integration and continuous delivery systems.

Design and implement tools in Python and other languages to enable the design, development, and verification of GPUs and other chips.

Participate in the full life cycle of tool development, test, and deployment of the tools you develop.

Developing throughout the software stack, from the user experience down to the cluster and database layers

BS or equivalent experience or higher degree in Computer Science or Computer Engineering

Strong programming skills in Python (or similar) and familiarity with C/C++ development

Experience setting up, maintaining, and automating continuous integration systems

Experience designing and developing automation in Jenkins with Groovy (or similar)

Experience designing and developing unit and integration test frameworks

BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering

Excellent communication skills, and an interest in collaboration and teamwork

Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime or other ML frameworks

Experience in GPU kernel programming using CUDA or OpenCL.

Develop components of TensorRT, NVIDIA’s SDK for high-performance deep learning inference.

Use C++ and Python to build graph parsers, optimizers, and tools for effective deployment of trained deep learning models.

Must be pursuing or have recently completed a Ph.D. program in Computer Science/Engineering, Statistics, Electrical Engineering, etc., or equivalent experience.

Excellent knowledge of the theory and practice of Generative AI.

Relevant research experience in deep learning, audio, generative models, or related machine learning fields.

Strong knowledge of application areas such as audio and natural language processing.

Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.

Research, design, implement and publish novel, large-scale generative models that improve multi-modal LLMs with a focus on audio.

B.S. or higher degree in Computer Science/Engineering (or equivalent experience)

Excellent hands-on C++ programming skills

Good communication and documentation skills and self-motivated

Masters or PhD preferred, with 2+ years of compiler code generation experience

Experience in developing CUDA, DirectX, OpenGL/Vulkan applications

Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++

Classroom and on-line educational presentations.

New Graduate RN with less than 6 months of RN experience

Initial follow-up competency validation and development plans

Clinical rotation under the supervision of qualified preceptors

Successfully handle adult patient assignments

Demonstrate a complete physical and psychosocial assessment on a patient

Completing or recently completed a Bachelors Degree (or equivalent experience)

Minimum 6 months experience in architecting test bench environments for unit level verification.

Prior Design or Verification experience of dynamic memory controllers (ddr2, 3, 4, lpddr2, 3). Experience with interface characterization post-silicon is required.

C++ programming language experience, scripting ability and an expertise in System Verilog.

Strong debugging and analytical skills.

Strong communication and interpersonal skills are required. A history of mentoring junior engineers and interns a huge plus.

Certification (copy of BCBA license)

Copy of Transcript (unofficial copies of BA and post-BA units)

Credential Copy (screenshot of CTC webpage, including authorizations and expiration date)

Letter(s) of Recommendation (at least (2) two, no more than 2 years old)

Clinical Nurse II Fellow - RN with 2 years or more of acute care nursing work experience

RN Fellowship Program Start Date: August 7th, 2023

All internal and external applicants must attach a resume and cover letter.

Pediatric Advanced Life Support (PALS)

Advanced Cardiac Life Support (ACLS)

Bachelor of Science in Nursing from an approved school (required for external applicants, preferred for internal applicants)

Pursuing MS or higher in EE, CS, Math, Physics or related technical field (or equivalent experience)

Programming skills in 1 or more high level languages (C, C++, Python, etc.) helpful

Linux command line and system administration skills are helpful

Working at the convergence of HPC + AI developing domain specific Deep Learning, Machine Learning, and NLP

Work closely with the NVIDIA Solution Architect and customer account team to secure design wins through customer proof-of-concept evaluations

Resolve customer pre-sales issues and promote the highest levels of customer satisfaction

Graduation from an accredited Nursing Education Program with no previous RN experience.

Must have BLS Healthcare Provider Certification (American Heart Association).

Must have Basic Dysrhythmia Certification - Telemetry, DOU, GI, OR and L&D.

Must have NIHSS (Stroke Certification) at a minimum group A - Telemetry, and DOU.

New Grad RN Position Requirements

Must have ACLS (American Heart Association) - Telemetry, DOU, GI, OR and L&D.

Clinical Nurse II Fellow - RN with 2 years or more of acute care nursing work experience

RN Fellowship Program Start Date: August 7th, 2023

All internal and external applicants must attach a resume and cover letter.

Pediatric Advanced Life Support (PALS)

Advanced Cardiac Life Support (ACLS)

Bachelor of Science in Nursing from an approved school (required for external applicants, preferred for internal applicants)

Pursuing MS or higher in EE, CS, Math, Physics or related technical field (or equivalent experience)

Programming skills in 1 or more high level languages (C, C++, Python, etc.) helpful

Linux command line and system administration skills are helpful

Working at the convergence of HPC + AI developing domain specific Deep Learning, Machine Learning, and NLP

Work closely with the NVIDIA Solution Architect and customer account team to secure design wins through customer proof-of-concept evaluations

Resolve customer pre-sales issues and promote the highest levels of customer satisfaction