Interesting Job Opportunity Analyst - Algorithm Research Andamp; Development

Enormous Enterprise LLC; Chennai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Enormous Enterprise LLC in Chennai, Tamil Nadu, India, seeks an Analyst for Algorithm Research & Development (CUDA). The role focuses on accelerating algorithms using CUDA, converting image processing pipelines to CPU-to-GPU, and advancing platforms with cutting-edge frameworks.

The ideal candidate has a strong CS background with hands-on CUDA experience, and is capable of delivering high-performance software in a cross-functional team. DOE applies; relocation not specified.

Qualifications

• Master's or Bachelor's in CS with 3+ years in algorithm development.
• Experience delivering software projects from design to deployment.
• Strong CUDA acceleration expertise and image processing experience.

Responsibilities

• Develop algorithms focusing on CUDA acceleration and CPU-to-GPU conversion of image processing algorithms.
• Stay updated with emerging technologies and industry best practices.
• Bring new ideas by exploring modern frameworks/tools to enhance platform capabilities.

Skills

CUDA programming

Distributed systems

C++ (modern)

Python scripting

Bash scripting

Cross-functional communication

Education

Master's degree in Computer Science or related field

Bachelor's degree in Computer Science or related field with 3+ years of hands-on development

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Git

Azure / AWS

Job description

Job Description:

Description

Company : Enormous Enterprise LLC.

Location : Chennai, Tamil Nadu, India.

Pay : DOE.

Role : Analyst, Algorithm Research & Development (CUDA).

Job Summary

Our Client is a global leader in diversified electronics for the semiconductor manufacturing ecosystem.

Virtually every electronic device in the world is produced using our technologies.

No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us.

Our client invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays.

The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development.

Our Client focuses more than average on innovation and in 2019 we invested 15% of sales back into R&D.

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the worlds leading technology providers to accelerate the delivery of tomorrows electronic devices.

Life here is exciting and our teams thrive on tackling really hard problems.

There is never a dull moment with us.

Key Responsibilities

• Develop algo focusing on CUDA acceleration, CPU to GPU conversion of image processing algos and models.
• Stay updated with emerging technologies and industry best practices.
• Bring new ideas to the team by exploring modern frameworks or tools that could enhance the platforms capabilities.

Required Qualifications

• Masters degree in Computer Science or a related field, or Bachelors degree in Computer Science (or related) with at least 3 years of hands‑on web application development experience.

Experience

• Minimum 3+ years of professional algo development experience focusing on CUDA acceleration, CPU to GPU conversion of image processing algos and models.
• Proven track record of delivering software projects from design to deployment.

Programming Skills

• Deep understanding of operating systems, computer networks, and high performance applications.
• Good mental model of the architecture of a modern distributed systems that is comprised of CPUs, GPUs, and accelerators.
• Experience with deployments of deep-learning frameworks based on TensorFlow, and PyTorch on large-scale on-prem or cloud infrastructures.
• Strong background in modern and advanced C++ concepts.
• Strong Scripting Skills in Bash, Python, or similar.
• Good communication with the ability to write clean, efficient, and well‑documented code.

Team Collaboration

• Strong communication skills and ability to work effectively in a cross‑functional team setting.
• Comfortable collaborating with diverse team members (developers, testers, domain experts) and conveying technical ideas clearly.

Adaptability

• A willingness to learn new technologies and adapt to evolving project requirements.
• Enthusiasm for working in a dynamic, fast‑changing environment where priorities may shift as the project grows.

Preferred Qualifications (Nice-to-Haves) Background

• Experience working on projects involving scientific computing, simulations, or HPC applications.
• Familiarity with parallel computing concepts or engineering simulations (CFD, FEA, etc.) can help in understanding the platforms context.

DevOps & CI/CD

• Hands‑on experience with DevOps tools and workflows.
• Knowledge of setting up CI/CD pipelines using platforms like Azure DevOps, Jenkins, or GitHub Actions to automate build and deployment processes.

Containerization & Cloud

• Experience with container technologies (Docker) and orchestration (Kubernetes) for deploying microservices is a plus.
• Familiarity with cloud services or infrastructure (Azure, AWS, etc.) for scalable deployment environments.