Overview:Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first.NIO Inc. is a pioneer and a leading company in the premium smart electric vehicle market. Founded in November 2014, NIOs mission is to shape a joyful lifestyle. NIO aims to build a community starting with smart electric vehicles to share joy and grow together with users.NIO designs, develops, jointly manufactures and sells premium smart electric vehicles, driving innovations in next-generation technologies in autonomous driving, digital technologies, electric powertrains and batteries. NIO differentiates itself through its continuous technological breakthroughs and innovations, such as its industry-leading battery swapping technologies, Battery as a Service, or BaaS, as well as its proprietary autonomous driving technologies and Autonomous Driving as a Service, or ADaaS. NIOs product portfolio consists of the ES8, a six-seater smart electric flagship SUV, the ES7 (or the EL7), a mid-large five-seater smart electric SUV, the ES6 (or the EL6), a five-seater all-round smart electric SUV, the EC7, a five-seater smart electric flagship coupe SUV, the EC6, a five-seater smart electric coupe SUV, the ET9, a smart electric executive flagship, the ET7, a smart electric flagship sedan, the ET5, a mid-size smart electric sedan, and the ET5T, a smart electric tourer.Responsabilities: Using one of the open source LLM models, you will research and apply the latest and state-ofthe-art techniques to create and POC an AI-based application using proprietary data bytraining, fine-tuning, and augmenting the base model.Qualifications: PhD or masters degree with publication and research projects in Computer Science,Computer Engineering, Applied Mathematics, Data Science. Experience with open source LLM models such as lama 2, Mistral, Claude 2, Grok-1 Experience fine-tuning and merging LLM models with LoRA, PEFT, Quantization, Tokenization Proficient in Python, AI-related training and inferencing tools such as PyTorch, vLLM, Ray Knowledge on prompting techniques such as Iterative refinement, Feedback loops, Zeroshot,Few-shot, CoT Knowledge on different model evaluation tasks such as HellaSwag, TruthfulQA, MMLU Good understanding of natural language processing, machine learning, AI generated contentdevelopment#J-18808-Ljbffrby Jobble

Overview:Join the HJF Team!HJF is seeking a Research Engineer to be responsible for planning and conducting biomedical research and development in support of a portfolio of projects in regenerative medicine that includes neuro-regeneration, orthopedic tissue repair, biomaterials design, 3D tissue engineering, and 3D bioprinting.This position will be in support of the Naval Health Research Center (NHRC) in San Diego, CA. Service members with injuries often require numerous doctor visits to diagnose and treat the symptoms following their injuries. In particular vestibular dysfunction, sleep disorders, and cognitive issues often occur in this population. Rehabilitation for these patients with insomnia or concussion, can be a long and expensive process. It is necessary that we find better ways to prevent, diagnose, assess, and provide more effective treatments that are available to Service members in a wider range of settings, including clinics, deployment sites and even within the homeThe Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals.Responsibilities:Leads small teams of researchers and establishes collaborations to keep projects on track; develops solutions to overcome technical challenges. Leads teams of research personnel in the execution of R&D projects,Participates in the preparation of FDA filings to support clinical translation and maintain interactions with external partners at universities and companies.Designs and executes experiments and ensures completion of technical milestones associated with each project.Participates as a key member of the group to develop future strategy and plans for new projects; serves as a key innovator on the team. Serves as a key participant in the preparation of project proposals, authoring publications, and presenting the groups work at national-level conferences.Leads the preparation of technical updates, reports, and publications.Maintains state-of-the-art knowledge of relevant technological developments regenerative medicine, physical medicine and rehabilitation.May include budgetary responsibility to include plan/forecast.May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role.Supervisory ResponsibilitiesAssigned Lead: May recommend the following: employee hiring, disciplinary action, and starting salaries; provide input on employee performance evaluationsQualifications:Education and ExperienceBachelor's Degree in biomedical engineering or similar required, Master's degree preferred.Minimum of 6-8 years experience in rehabilitation research requiredRequired Knowledge, Skills and AbilitiesThorough understanding of the underlying principles of physics, mathematics and physiology as it applies to biomedical engineering.Knowledge of regenerative medicine and physical medicine & rehabilitation preferred.Ability to program in a variety of software packages and languages including Matlab , Labview , and C++.Experience with networking and Transmission Control Protocol/Internet Protocol (TCP/IP)communications.Technical expertise in hardware integration of virtual reality (VR) equipment including motion platforms,multi projection screens, head-mounted displays, and synchronization of external equipment with analoginputs.Ability to run Unity applications and connected hardware platformsUS Citizenship and the ability to obtain and maintain a T3/Secret ClearanceWork EnvironmentThis position will take place primarily in a laboratory setting.CompensationThe likely salary range for this position is $73,800 - $115,000 annually. This is not, however, a guarantee of compensation or salary. Final salary will be determined based on market analysis, experience, and education.Some positions or sites may require that the incumbent be fully vaccinated against COVID-19. Proof of vaccination may be required.Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.Equal Opportunity Employer/Protected Veterans/Individuals with DisabilitiesThe contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractors legal duty to furnish information. 41 CFR 60-1.35(c)Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.#J-18808-Ljbffrby Jobble

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: <ul> <li> Work on research and exploration of new features and algorithms as well as improvement of existing features for Adreno GPUs. These include features for general purpose GPU (GPGPU), machine learning, and 3D graphics. </li> <li> Work closely with internal teams on content creation, software, compiler, design, and verification, to produce comprehensive architectural solutions. </li> <li> Collaborate with internal and external customers on GPGPU, machine learning, computer vision, IoT, and automotive product lines. </li> <li> In-depth analysis, profiling, optimization of critical GPGPU benchmarks and use cases, development of micro-benchmarks, and competitive analysis of GPGPU/ML features. </li> <li> Development of functional and performance models for HW/SW features and algorithms. </li> <li> Participate in open-source GPGPU/ML projects. </li> <li> Contribute to GPU standardization activities, such as OpenCL, SYCL and SPIR-V. </li> </ul> Preferred Qualifications: <ul> <li> Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. </li> <li> 2+ years of relevant GPU experience (either external or internal). 1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director and above). </li> <li> 1+ years in a technical leadership role with direct reports (only applies to positions with direct reports). </li> </ul> Experience on implementation and optimization of ML/large language models (such as Llama 7b) on GPU using CUDA/OpenCL/ROCm/HIP/Vulkan/DX is a big plus. Minimum Qualifications: <ul> <li>Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.</li> </ul> OR Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience. OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm's toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace. Qualcomm is an equal opportunity employer and supports workforce diversity. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range: $125,000.00 - $187,000.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer! If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) . EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification <script id="detrack" src="https://d2e48ltfsb5exy.cloudfront.net/p/t.js?i=0,1" data-g="7e8afabd740b4eb485f5e2c7025901fd1624"></script>

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Research Engineer Jobs in San Diego, CA

Research Engineer Generativeai Open Source Llm Models Data Science And Finetuning Models InternApril 29, 2024

Research EngineerApril 28, 2024

Gpu Research EngineerApril 18, 2024

Gpu Research EngineerApril 15, 2024

Research EngineerApril 6, 2024