Analyst, Algorithm Development Engg (CUDA)

Dormont Manufacturing Co; Chennai District; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive total rewards package

Inclusive work environment

Job summary

Dormont Manufacturing Co in Chennai, Tamil Nadu is seeking a CUDA Algorithm Engineer. The role requires expertise in CUDA acceleration and the conversion of algorithms from CPU to GPU. Candidates should possess a Master’s degree in Computer Science or a Bachelor’s degree with relevant experience in algorithm development.

The position offers an inclusive rewards package and opportunities to work in a dynamic environment, adapting to evolving project needs while collaborating with a cross-functional team.

Qualifications

• Minimum 3+ years of professional algorithm development experience focusing on CUDA acceleration.
• Proven track record of delivering software projects from design to deployment.
• Strong communications skills and ability to work effectively in a cross-functional team setting.

Responsibilities

• Develop algorithms focusing on CUDA acceleration and CPU to GPU conversion.
• Stay updated with emerging technologies and modern frameworks.
• Collaborate with diverse team members in a dynamic environment.

Skills

CUDA acceleration

CPU to GPU conversion

C++

Bash scripting

Python

Deep learning frameworks (TensorFlow, PyTorch)

DevOps

Docker

Kubernetes

Education

Master’s degree in Computer Science or related field

Bachelor’s degree in Computer Science or related field with at least 3 years of experience

Tools

TensorFlow

PyTorch

Azure DevOps

Jenkins

GitHub Actions

Job description

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 platform’s capabilities

Required Qualifications

• Education: Master’s degree in Computer Science or a related field, or Bachelor’s degree in Computer Science (or related) with at least 3 years of hands‑on as CUDA algo engineer
• 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)

• HPC/Simulation 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 platform’s 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

Minimum Qualifications

Master’s degree in Computer Science or a related field, or Bachelor’s degree in Computer Science (or related) with at least 3 years of hands‑on as CUDA algo engineer

Benefits

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

Equal Opportunity

KLA is proud to be an equal opportunity employer