Job Board

Date: Jan 16, 2022

Location: Sunnyvale, CA, US, 94085

Company: Corning

Requisition Number: 51478

 

Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.

At Corning, our growth is fueled by a commitment to innovation. We succeed through sustained investment in research & development, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges. We are a four-time National Medal of Technology winner thanks to our technology leadership and R&D environment, which attract and enable the best scientific minds in the world. This pipeline of talent has brought life-changing innovation to your fingertips for more than 160 years.

Day to day activities range from testing, building, and debugging prototypes and experiments in the lab (from both off the shelf parts and, when required, custom parts); computer aided design and simulation, cross functional interaction with adjacent teams, colleagues across global research, and external vendors; and learning new skills to advance future products in the pipeline.

 

Required Education:

B.S. or M.S., 0-5 years work experience

 

Candidate must:

• Possess clear, concise writing and communication skills

• Read and create circuit schematics and block diagrams

• Have solder abilities

• Willingness to use hands in the lab to build prototypes and experiments

• Be organized

• Enjoy working with a team

• Enjoy following trends within the industry

• Positive personality

 

Candidate knowledge required in one or more of the following areas:

• Analog circuit design (op-amps, TIAs, DC-DC converters [LDO, SMPS, buck-boost], CMOS or BJT circuit design, KVL & KCL)

• Digital circuit design (microcontrollers, logic gate design)

• FPGA/PLD design (Verilog or VHDL)

• Transmission line theory (VSWR, microstrip, coplanar, twinax, etc.)

• Electromagnetic theory

• S-parameters (2 port, 4 port)

• Passive RF Techniques (filter design, matching networks)

• PCB design

• Programming (C, Python, etc.)

• iOS/Android app development

• High frequency signal integrity (crosstalk, eye diagrams)

• UNIX programming and scripting

• Fiber optic communication

• Semiconductor physics

 

Familiar with some of the following equipment/software:

• Spectrum analyzer

• Vector network analyzer

• Oscilloscope

• Logic analyzer

• Bit error rate tester

• CST Microwave Studio (or HFSS)

• TDR

• SPICE (or similar circuit simulator)

• Matlab • PCB design tool (Allegro, KiCAD, etc.)

• Signal generator

• Other basic EE hardware (DMM, power supply, etc.)

 

Nice to have:

• USB protocol understanding (high level, physical, link, or application layer)

• Signal analysis (modulation techniques)

• IC design cycle to silicon experience

 

This position does not support visa assistance

 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

 

Nearest Major Market: San Jose

Nearest Secondary Market: Palo Alto

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