MulticoreWare
http://www.multicorewareinc.comAbout
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Python
Go Programming (Golang)
Amazon Web Services (AWS)Cloud Architect
Role: Software Engineer/Senior Software Engineer
Openings: 2
YOE: 5+ years | 8+ years
Notice Period: Immediate to 60 days
Mandatory skills: Python/Go development with strong cloud engineering expertise in AWS/Azure
Responsibilities:
- Design, architect, and implement cloud solutions on AWS and Azure platforms.
- Collaborate with stakeholders to gather requirements and develop cloud strategies aligned with business objectives.
- Lead the technical design and implementation of cloud infrastructure, ensuring scalability, security, and performance.
- Provide guidance and best practices to development teams for cloud-native application development.
- Evaluate and recommend cloud services, tools, and technologies to optimize cloud infrastructure.
- Develop automation scripts and templates for provisioning and managing cloud resources.
- Conduct performance tuning, troubleshooting, and optimization of cloud environments.
- Stay current with industry trends and emerging technologies in cloud computing.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.
- 5+ years of experience in cloud architecture and design.
- Proficiency in AWS and Azure cloud platforms, including but not limited to EC2, S3, Lambda, VPC, IAM, Azure VM, Azure Storage, Azure Functions, etc.
- Strong understanding of cloud-native architectures, microservices, containers, and serverless computing.
- Experience with infrastructure-as-code tools such as Terraform, CloudFormation, ARM templates, etc.
- Hands-on experience with DevOps practices and tools, including CI/CD pipelines, Docker, Kubernetes, etc.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or equivalent are a plus.
We Build Responsible AI Solutions. We are:
- A Software/Product Development Organization delivering next-generation technologies.
- Great Place To Work (GPTW) Certified, fostering a culture of trust and collaboration.
- Recognized as ET's Future Ready Organization, driving innovation responsibly.
Why join us Multicoreware Inc?
● Shape the Future of AI: At MulticoreWare Inc., you’ll work on cutting-edge technologies like computer vision, natural language processing, and generative AI, redefining industries and advancing humanity's digital future.
● Be Part of a Visionary Team: Collaborate with some of the brightest minds in AI and software engineering, solving complex challenges and driving innovation in high-performance computing and AI-powered solutions.
● Accelerate Your Growth: Experience unparalleled career development with exposure to groundbreaking projects, advanced tools, and a culture that values continuous learning and professional excellence.
● Make an Impact Globally: Work on products and solutions that influence industries like automotive, media, and healthcare, delivering responsible AI-driven innovation worldwide.
● Innovate with Purpose: Join a team where your passion for technology meets a mission-driven approach, creating solutions that blend innovation, efficiency, and sustainability.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Machine Learning (ML)
CSenior Engineer – Artificial Intelligence / Computer Vision
(Business Unit – Autonomous Vehicles & Automotive - AVA)
We are seeking an exceptional, experienced senior engineer with deep expertise in Computer Vision, Neural Networks, 3D Scene Understanding and Sensor Data Processing. The expectation is to lead a growing team of engineers to help them build and deliver customized solutions for our clients. A solid engineering as well as team management background is a must.
About MulticoreWare Inc
MulticoreWare Inc is a software and solutions development company with top-notch talent and skill in a variety of micro-architectures, including multi-thread, multi-core, and heterogeneous hardware platforms. It works in sectors including High Performance Computing (HPC), Media & AI Analytics, Video Solutions, Autonomous Vehicle and Automotive software, all of which are rapidly expanding. The Autonomous Vehicles & Automotive business unit specializes in delivering optimized solutions for sophisticated sensor fusion intelligence and the design of algorithms & implementation of software to be deployed on a variety of automotive grade hardware platforms.
Role Responsibilities
● Lead a team to solve the problems in a perception / autonomous-systems scope and turn ideas into code & products
● Drive all technical elements of development, such as project requirements definition, design, implementation, unit testing, integration, and software delivery
● Implementing cutting edge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
● Contribute to the vision and long-term strategy of the business unit
Required Qualifications (Must Have)
● 3 - 7 years of experience with real world system building, including design, coding (C++/Python) and evaluation/testing (C++/Python)
● Solid experience in 2D / 3D Computer Vision algorithms, Machine Learning and Deep Learning fundamentals – Theory & Practice. Hands-on experience with Deep Learning frameworks like Caffe, TensorFlow or PyTorch
● Expert level knowledge in any of the courses related Signal Data Processing / Autonomous or Robotics software development (Perception, Localization, Prediction, Planning), multi-object tracking, sensor fusion algorithms and familiarity on Kalman filters, particle filters, clustering methods etc.
● Good project management and execution capabilities, as well as good communication and coordination ability
● Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields
Preferred Qualifications (Nice-to-Have)
● GPU architecture and CUDA programming experience, as well as knowledge of AI inference optimization using Quantization, Compression (or) Model Pruning
● Track record of research excellence with prior publication on top-tier conferences and journals
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