MulticoreWare

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.

Senior 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