New Grad Lpn Jobs

Distill market research to provide perspective to the team and product management leaders to inform insights and decisions

Knowledge or experience with Agile methodology to drive product development and delivery

Support the development of the product strategy, go-to-market plans, and product design documents (concept document, business case, product requirements)

Understand market trends, competition, and user requirements

Less than 2 years relevant work experience with either Bachelor's or Master's degree graduating January 2023 - August 2024

Internships with related work experience

Design the natural language processing components of ServiceNow NLU capabilities by enhancing core deep learning algorithms

Advance the natural language capabilities of the ServiceNow platform

Solve tough technical challenges in a high energy environment with experienced industry leaders and with a highly collaborative team 

Preferred: experience with Linux, networking, and/or container technologies

Experience with languages such as Java, C++, Javascript, Python, or HTML/CSS

High levels of creativity and quick problem-solving capabilities 

Estimate manufacturing costs, determine time standards, and make recommendations for tooling and process requirements of new or existing product lines

Knowledge in Lean Manufacturing, AutoCAD and/or Pro-E, Six Sigma, technical writing, MS Project and/or MS SharePoint

Implement and analyze manufacturing plans and projects

Design develop and transfer manufacturing and engineering tools, strategies and systems

Develop manufacturing strategies for specific products and processes

Interface with engineering in coordinating the release of new products

Desired skills include requirements analysis and verification, software scripting and usage of automated testing frameworks and applications

Support development of test plans, test procedures, requirements traceability, test reports, test flow, and test case design and implementation

Knowledge of communications systems, software languages, automated software test, networks, network security, power systems, antennas, RF, and/or mechanical design and analysis

Support the set-up, configuration, and documentation of hardware and software systems under test, including loading software onto multiple devices

Support design, development, and implementation of cost-effective procedures for testing and troubleshooting of components, sub-assemblies, assemblies, and systems

Document testing issues and failures and perform analysis of test results

Bachelor's degree in Finance, Accounting, Economics, Management or General Business

Responsible for daily customer interface and billing guidance to Contracts and Program Finance

Job Title: Program Finance (New Grad - Palm Bay, FL)

Responsible for the financial functions associated with the business acquisition process (proposals) and program execution process (programs)

Responsible for setting up, validating and generating complex invoices to various customers

Ensure all assigned invoices are processed and completed in a timely manner per the terms and conditions of the contract

At least one relevant internship or school project experience

Clear communicator - you are concise and articulate in speech and writing and practice active listening

Fluent in any one of the following programming languages: Java, Kotlin, C++, C#, JavaScript, TypeScript, Python, Ruby, Go, or Rust

Building applications that solve complex business problems elegantly

Designing scalable architecture and distributed systems

Writing high-quality, performant, and industry-standard code

Use clinical skills for lab collection, testing, medical procedures

Assist in care coordination of the patient experience

Process-oriented - You have exceptional organizational skills and enjoy building scalable operational processes

Experience in medical/clinical environment preferred

NOTE: Our MA role has an 18 month tenure minimum requirement

Work alongside physicians to provide personalized primary care

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.

Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills

Currently pursuing a MS or PhD University in an engineering or Computer Science related discipline (or equivalent experience)

You'll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms

Experience with parallel programming, ideally CUDA C/C++

Provide the best AI solutions using GPUs working directly with key customers

A background that includes low-level performance optimizations and computer architechture.

Building Dashboards for analysis and displaying key metrics (work includes both frontend and backend development in AWS)

Load margin analysis (LMA) of Sold Oxide Fuel Cells (SOFC) involving data gathering and integration using Python scripts

Develop optimization models to deploy customer service maintenance schedule to maximize performance and profit while decreasing costs

Improve cost models and pricing analytics on service contracts of Bloom Energy’s products (including fuel cells and electrolyzers).

You are currently pursuing a Bachelor’s degree, and are successfully maintaining an above average GPA, preferably 3.0 or higher.

Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.

Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

Experience with large language models and large vision-language models is a plus.

Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.

Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.

Research, design and implement novel methods for efficient deep learning.

Pursuing PhD in Robotics, Computer Science, Engineering or related field (or equivalent experience)

3+ years of relevant research or work experience

The Following Research Areas Are Of Particular Interest

What We Need To See

Examples of desirable skills, knowledge, and experience:

Act as a trusted advisor to customers, translate business requirements into technical solutions

Work closely with Account Executives or Customer Success Managers to cover a territory or range of customers

Good understanding of how the Internet works. Development and application development knowledge is a major plus.

Good communication skills. Ability to present in front of an audience.

Be part of Cloudflare’s Solutions Engineering team, within the Sales organization

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

Build the skills to own a project from beginning to end, learning project management and technical leadership skills

Experience from either previous internships or working collaboratively on multi-person coding projects (in a university or professional setting)

Experience in code review practices, and an understanding of how to safely update production systems

Work on cross-functional projects, directly collaborating with other engineers

Give meaningful feedback on code reviews and technical designs

Ensure that the systems your team operates continue running well and can scale to meet the needs of our users

The exact Salary will be determined based on qualifications, experience and location.

Establish and manage the equipment quality control plan

Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs

Understanding and knowledge of Statistical Process Control (SPC) and Design of Experiments (DOE)

Prior experience working in a semiconductor cleanroom environment

Drive continuous improvement efforts in support of throughput improvement, cost reduction, and yield learning

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.

Graduated between December 2022 and September 2023 with a 4-year degree in Computer Science

You are excited about producing high quality code, and helping to eliminate unnecessary duplication and awkward workarounds.

You want to be on a team with rigorous engineering practices and discipline: code reviews, automated testing, logging, monitoring, alerting, etc.

Our Ideal Candidate Will Have

Knowledge of Microsoft DOS (Strongly Preferred)

Clear English reading, writing, and speaking skills

Knowledge of leak-detection and other high-vacuum related tools

Plasma and High-Vacuum Semiconductor manufacturing equipment background/experience

Previous experience with Perkin Elmer Sputter, Tegal, LAM, GaSonics, Matrix, or AG Associates experience is a plus

The following does not restrict any assignment or reassignment of any responsibilities for this position.

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