Job Board

GigaIO provides disruptive interconnect technology to extend PCIe outside the server and across racks  to achieve game-changing performance, scalability, and composability for Advanced Scale Computing  used in AI/ML/DL, advanced analytics, and high-performance computing. The Fabrex™ PCIe Switch  interconnect breaks the server boundary to connect dozens to hundreds of heterogeneous compute  engines (CPUs, GPUs, FPGAs, ASICs), memory pools, and NVMe storage devices (SSDs) into dynamically  composable, high-performance computing systems. 

AI-ML Performance Graduate Intern 

We are seeking a graduate-level intern to evaluate configuration recipes for deploying Fabrex™ network  products in the context of a variety of AI-ML use cases. This person will propose, construct, and  evaluate complete customer solutions, characterize the performance of GigaIO’s disruptive Fabrex™  interconnect compared with the performance of legacy solutions, and document reference  configurations (recipes) and performance results. This person will report to the VP of Engineering during  the period of the internship. He/she will apply his/her expertise with AI-ML use cases, applications, and  benchmarks in a variety of market segments. The term of the internship is negotiable and may extend  to continued employment, based on mutual desire. 

Must Haves: 

1) Broad understanding of multiple tiers of systems software; applications, middleware, OS  libraries, OS Kernel, OS Drivers. 

2) Background in performance analysis and familiarity with a variety of standard AI-ML performance benchmarks (e.g., MLPerf, BERT, ResNet, MLBench, etc.) 

3) Familiarity with AI-ML programming using CUDA, multi-GPU NCCL, PyTorch, TensorFlow. 4) Strong scripting skill (Python, Perl, or a Linux shell). 

5) C programming skill. 

6) Thorough, focused, methodical, with good documentation habits 

7) Excellent conversational, written communication, and presentation skills, in English. 

Wants: 

1) Experience with a network product or system, preferably at the switch level. 2) General knowledge of a variety of interconnect protocols (e.g., PCI-e, InfiniBand, NFS, TCP/IP,  and Ethernet) 

3) Familiarity with HPC programming including MPI and Libfabric. 

Education Requirements: 

1) BS and currently working toward MS or PhD in computer science, computer engineering,  electronics engineering, mathematics, physics, or similar field. 

Send responses to roneill@gigaio.com

6108 Avenida Encinas # B Carlsbad, CA 92011 www.gigaio.com 




POSITION DESCRIPTION

The Electrical and Computer Engineering Department, at the University of California, San Diego, in support of the Jacobs School of Engineering multidisciplinary research in the Center for Wearable Sensors is conducting an open search for Postdoctoral Scholars in various academic disciplines, with a focus on those with a background in biomedical engineering with expertise in one or more of physiology, electronics, material science, embedded system design, programming, bio signal processing, and project management.

The University of California employs about 5,963 postdoctoral scholars (approx. 1,200 at UCSD) who contribute to the academic community by enhancing the research and education programs of the university. The postdoctoral experience emphasizes scholarship and continued research training. UC's postdoctoral scholars bring expertise and creativity that enrich the research environment for all members of the UC community, including graduate and undergraduate students. Appointment durations vary depending on the length of the research project and the availability of funding. The total duration of an individual’s postdoctoral service may not exceed five years, including postdoctoral service at other institutions. The International Union, United Automobile, Aerospace and Agricultural Implement Workers of America (UAW) is the exclusive representative of the postdoctoral scholars.

 
Required Qualification: 

Doctorate degree or its equivalent in the project area. The appointment is dependent on academic experience, scholarly achievements, skills and knowledge, and the needs of the center.

 
Preferred Qualification: 

The candidate will be responsible for working with and managing projects funded and guided by a corporate sponsor in the areas of wearable devices for precision athletics, nutrition and/or general population health. The candidate will ideally have a background in physiology and/or wearable devices, with a specialization in one or more of the following fields: electronics, material science, embedded systems, firmware development, and/or bio signal processing. The candidate should have good project management skills, be able to lead project meetings, cross disciplinary boundaries, clearly document work progress and articulate such progress to academic and industry audiences, and be able to prepare high quality academic manuscripts and literature review white papers. The candidate will liaise with the corporate sponsor and their team of academics to apply the learnings and projects to a commercial setting. The candidate should share a commitment to mentoring and research training service to build an equitable and diverse scholarly environment.

Review of applications will commence immediately and will be ongoing. Salary is commensurate with qualifications and based on published University of California pay scales. Applications (CV, Research Statement, and Cover letter, at minimum) must be submitted via email to ece-apply@eng.ucsd.edu. 

 

The Office of Research Affairs at UC San Diego is committed to academic excellence and diversity within the academic, staff, and student body. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

 

APPLICATION REQUIREMENTS

Document requirements:

Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Research, Interests and Goals - Applicants should summarize their past or potential contributions to the Center for Wearable Sensor's needs as outlined above.
Misc / Additional (Optional)