Siruseri Chennai Tamil Nadu Embedded engineer Jobs – 24 Open Jobs Today

Senior Software Engineer
MulticoreWare —Ramapuram, Chennai, Tamil Nadu
- Full-time
- Computer Science
- Windows
- Master's degree
Algorithms & optimization Engineer
MulticoreWare —Ramapuram, Chennai, Tamil Nadu
- Full-time
- Doctoral degree
- Master's degree
- C++

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Senior Software Engineer

MulticoreWare -
Ramapuram, Chennai, Tamil Nadu

Apply Now

Job details

Full-time

Qualifications

TensorFlow
Image processing
Operating systems
Law
Computer Science
PyTorch
Computer vision
Test automation
Windows
Master's degree
OS Kernels
Analysis skills
C++
Project management
C
Bachelor's degree
Machine learning
Deep learning
Software development
MacOS
Agile
B.E.
Linux
Leadership
Python

Full job description

Job Information

Department Name

Frameworks & Cloud

Job Type

Full time

Industry

Software Development

Date Opened

15/12/2025

Minimum Experience In Years

Maximum Experience In Years

City

Ramapuram

Province

Tamil Nadu

Country

India

Postal Code

600089

About Us

MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators.

MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently.

We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help.

Job Description

Job Description

Developing a software pipeline for end-to-end ML Model Inference for specific hardware accelerator by achieving maximum performance & accuracy.

Implementing cutting edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using customized inference pipeline for NN Processor.
Performance optimization for inferencing the LLM Models in customized hardware with various layer types including transformer, encoder-decoder, etc based models.
Hardware architecture aware and computation conscious implementation of solutions in an embedded device and maximize the throughput.
Develop tools and applications by producing clean, efficient code.
Identify, prioritise and execute tasks based on requirement.
Implementation, Review, Debug code, Product Delivery and quick turn around.
Collaborate with team to brainstorm and create new products.
Mentor fresh joiners and foster team culture.

Must-Have

BE/BTech/MS/MTech graduates with Computer science Engineering with 4+ years of experience.
Solid programming experience in C/C++ with proven experience as Senior Software Engineer.
Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization.
Extensive experience in software development and project management.
Strong analytical and problem-solving skills.
Adaptable to execute complex tasks, under tight schedules and dynamic conditions.
Familiarity with various operating systems (Linux, Mac OS, Windows).
Ability to work independently and manage a team.
Excellent organizational and leadership skills.
Working knowledge on Deep Learning frameworks (Like ONNX, TensorFlow, PyTorch or Any Hardware Accelerator Software Pipeline Experience).

Nice-to-Have

Knowledge in Python.
Experience in managing team size of 4 or more.
Experience Working in an Agile Environment.
Experience in using automated testing frameworks.

Apply Now

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