Megh Computing provides a real-time, AI-based Video Analytics Solution (VAS) deployed on any platform from edge-to-cloud. Meghâs solution automates the use of video as a signal for real-time actionable insights. Meghâs solution is differentiated by its Nimble application framework that uniquely supports CPU, GPUs and/or FPGAs enabling it to deliver unparalleled flexibility and scalability with the highest performance. It supports various use cases out-of-the-box for smart buildings, factories and cities undergoing a digital transformation. It can also be easily customized with new trained models to support specific use cases for small to large enterprises to drive operational efficiencies.  Megh offers its solution to enterprises as a B2B software with various licensing options. 

Software Engineer (Applications and Framework) Join us as we enable the third wave of computing in the data center using FPGAs! Megh was founded in 2017 by Intel veterans who pioneered the adoption of FPGAs in Data Center. We’re based in Hillsboro (just outside of Portland), Oregon, and have development offices in Bangalore, India. We offer a fast-paced, exciting work environment with competitive salaries and benefits. Our startup is rapidly maturing: we won the Technology Association of Oregon’s (TAO) 2019 Technology Company of the Year award in their Pre-Revenue category. We have taken the promise of heterogeneous computing with CPU and FPGA platforms from concept to production, delivering a solution that accelerates real-time analytics using FPGA accelerators in the public, private, and edge cloud. Megh provides a platform for accelerating Real Time Streaming Analytics using FPGA. We enable seamless acceleration of applications that process streams with Machine Learning and Deep Learning algorithms, extracting value from data as it is moving. Our solution supports both in-line processing and offloading of ML/DL libraries with FPGAs. As a Software Engineer contributing to the Applications and the Frameworks team, you will design and develop framework (TF, PyTorch, etc) plugin libraries to connect Megh FPGA solution and develop end-to-end Video Analytics solution on Megh’s FPGA accelerated platform. You will be developing and integrating components that are leading edge/pre- release technologies from multiple vendors and OEMs. Responsibilities Primary responsibilities include: • Develop end-to-end Video/Speech/Text analytics application using Opensource frameworks. • Designing and developing reference implementations in machine learning and deep learning-based solutions, representing the customers' technical requirements as the voice of customer and creating competitive analysis from a technical perspective. • Performance analysis, you may engage in activities such as development of benchmarking harness, adding testing suites and workloads to the harness, performance monitoring, performance projections, performance benchmarking, code analysis and optimizations. • Design and implement software components and unit tests in C++/Python. • Work with software architects to design and implement applications and SW infrastructure: • With reviews at each stage to ensure integration into the larger system • With an eye to future maintenance • With simplicity and clarity. Qualifications and Experience The following qualifications are required: • BS/MS with up to 1 to 2 years relevant experience. • Degree programs in CS, CE, EE or similar technical field. • Clear Understanding of Object-Oriented Concepts. • Development experience in C++ and Python. • Strong technical and problem-solving skills. • Strong written and verbal communications skills. • Ability to define and execute tasks with limited direction. The following qualifications are highly desirable: • Knowledge/experience in one or more of the AI and Machine Learnings frameworks such as TensorFlow, MxNet, Pytorch, Caffe, OpenCV • Familiarity with remoting protocols (Rest API, gRPC) • Familiarity with Design Patterns. • Ability to work in a dynamic environment and ability to think on your feet is required

FPGA&nbsp;Lead engineer at Megh Computing Inc. interested one can share resumes to&nbsp;<a href="mailto:jobs@meghcomputing.com" rel="noopener noreferrer" target="_blank">jobs@meghcomputing.com</a>&nbsp;or&nbsp;<a href="https://megh.com/" rel="noopener noreferrer" target="_blank">https://megh.com/</a> Join us in building the best-in-class real-time analytics platform for creating actionable insights from streaming data. Founded in 2017 by Intel veterans who pioneered adoption of FPGAs in data center, Megh Computing has taken the promise of heterogeneous computing from concept to production. We’re based in Hillsboro (just outside of Portland), Oregon, and have development offices in Bangalore, India. We offer a fast-paced, exciting work environment with competitive salaries and benefits. Megh won the Technology Association of Oregon’s (TAO) 2019 Technology Company of the Year award in their pre-revenue category. We are focused on providing a real-time, AI-based video analytics solution that can be deployed on any platform using CPUs, GPUs, or FPGAs, from edge-to-cloud. DEPEND ON OPEN ANALYTICS to deliver&nbsp;actionable insights&nbsp;and provide&nbsp;total control Achieve true operational reliability with VAS, our&nbsp;customizable,&nbsp;cross-platform,&nbsp;real-time&nbsp;intelligent video analytics solution. This position is located in Bangalore, India. As an FPGA lead Engineer you will be leading the team &amp; developing a platform that enables a system of networked FPGAs used for sophisticated algorithms utilizing deep learning. You will also be involved in creating custom accelerators for algorithms for image processing, video processing, network packet processing, and deep learning on FPGAs. Responsibilities Primary responsibilities include: Design and develop custom accelerators for FPGAs Develop unit-level test benches and basic verification Design optimal solutions with a balance between performance and area Provide assistance to other team members Qualifications and experience The following qualifications are required: BS/MS with up to five years relevant experience Degree program in EE or similar technical field Experience in RTL design using SystemVerilog (preferred), Verilog. Experience developing test benches and unit-testing Sound knowledge of fundamentals of digital design Good understanding of FPGA internals (Intel/Xilinx) Able to map algorithms to hardware and design for optimal performance and resource utilization Sound understanding of CDC Strong technical and problem-solving skills Strong written and verbal communications skills Ability to define and execute tasks with limited direction The following qualifications are highly desirable: Good understanding of protocols such as AXI, Avalon Working knowledge of PCIe and Ethernet Experience using memory such as DDR2/3/4 SDRAMs Experience using design tools such as Xilinx Vivado and Intel Quartus Good debuging skills and familiarity with SignalTap/ Logic analyzer Comfort working in a Linux environment Familiarity with basic scripting using TCL, Shell programming, Python, Familiarity with version control tools such as GIT

Software Engineer (Applications and 	 Framework) 	 	 Join us as we enable the third wave of computing in the data center using FPGAs! Megh was 	 founded in 2017 by Intel veterans who pioneered the adoption of FPGAs in Data Center. 	 We’re based in Hillsboro (just outside of Portland), Oregon, and have development offices in 	 Bangalore, India. We offer a fast-paced, exciting work environment with competitive 	 salaries and benefits. Our startup is rapidly maturing: we won the Technology Association of 	 Oregon’s (TAO) 2019 Technology Company of the Year award in their Pre-Revenue 	 category. We have taken the promise of heterogeneous computing with CPU and FPGA 	 platforms from concept to production, delivering a solution that accelerates real-time 	 analytics using FPGA accelerators in the public, private, and edge cloud. 	   	 Megh provides a platform for accelerating Real Time Streaming Analytics using FPGA. We 	 enable seamless acceleration of applications that process streams with Machine Learning 	 and Deep Learning algorithms, extracting value from data as it is moving. Our solution 	 supports both in-line processing and offloading of ML/DL libraries with FPGAs.  	  	 As a Software Engineer contributing to the Applications and the Frameworks team, you will 	 design and develop framework (TF, PyTorch, etc) plugin libraries to connect Megh FPGA 	 solution and develop end-to-end Video Analytics solution on Megh’s FPGA accelerated 	 platform. You will be developing and integrating components that are leading edge/pre-	 release technologies from multiple vendors and OEMs. 	  	 Responsibilities 	 	 Primary responsibilities include: 	 	 •  Develop end-to-end Video/Speech/Text analytics application using Opensource 	 	 frameworks. 	 	 •  Designing and developing reference implementations in machine learning and deep 	 learning-based solutions, representing the customers' technical requirements as the 	 voice of customer and creating competitive analysis from a technical perspective. 	 	 •  Performance analysis, you may engage in activities such as development of 	 benchmarking harness, adding testing suites and workloads to the harness, 	 performance monitoring, performance projections, performance benchmarking, code 	 analysis and optimizations. 	 	 •  Design and implement software components and unit tests in C++/Python. 	 •  Work with software architects to design and implement applications and SW 	 	 infrastructure: 	 •  With reviews at each stage to ensure integration into the larger system 	 •  With an eye to future maintenance 	 •  With simplicity and clarity. 	 	  	 	 Qualifications and Experience 	 	 The following qualifications are required: 	 	 •  BS/MS with up to 1 to 2 years relevant experience. 	 •  Degree programs in CS, CE, EE or similar technical field. 	 •  Clear Understanding of Object-Oriented Concepts. 	 •  Development experience in C++ and Python. 	 •  Strong technical and problem-solving skills. 	 •  Strong written and verbal communications skills. 	 •  Ability to define and execute tasks with limited direction. 	 	  	 	  	 	 The following qualifications are highly desirable: 	 	 •  Knowledge/experience in one or more of the AI and Machine Learnings frameworks such as 	 	 TensorFlow, MxNet, Pytorch, Caffe, OpenCV 	 	 •  Familiarity with remoting protocols (Rest API, gRPC) 	 •  Familiarity with Design Patterns. 	 •  Ability to work in a dynamic environment and ability to think on your feet is required 	 	 

Megh Computing, Inc.

Software Engineer

FPGA Lead engineer

Software Engineer