CHENNAI · FULLTIME
SSE - Optimization Engineer
MulticoreWare
Chennai · onsite · Posted 30d ago
Sourced from
Undisclosed4–9 yrsfulltimeChennai
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.4s
- Found the form on Naukri · 14 questions to answer1.7s
- Decided the answers for all of them2.6s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
":"
Title \- Senior Software Engineer
Job Description
Develop and optimize deep learning models (CNNs, LLMs, MoE) for efficient inference across CPU, GPU, and hardware accelerators \/ edge devices.
\- Design and implement Quantization algorithms (PTQ, QAT, GPTQ, AWQ) from scratch.
\- Apply model compression techniques such as pruning, decomposition, and distillation.
\- Implement and optimize quantized kernels (INT8, INT4, FP8) using C++ for high performance.
\- Translate research papers into production\-ready implementations.
\- Optimize latency, throughput, and memory usage for real\-world deployment.
\- Work on transformer optimization including KV\-cache, PEFT (LoRA\/QLoRA), and MoE models.
\- Profile, benchmark, and debug model performance across different hardware platforms.
\- Collaborate with ML, compiler, and hardware teams to deliver optimized solutions.
Must\-Have
\- BE\/BTech\/MS\/MTech in Computer Science or related field with 4+ years of experience.
\- Strong programming skills in Python and C++.
\- Proven experience in Quantization algorithms (PTQ, QAT, GPTQ, AWQ).
\- Hands\-on experience in pruning, model compression, and inference optimization.
\- Experience implementing quantization or optimization techniques from scratch.
\- Strong understanding of CNNs, Transformers, and LLM architectures.
\- Experience with PyTorch \/ ONNX and model deployment pipelines.
\- Strong problem\-solving and performance optimization skills.
Nice\-to\-Have
\- Experience with MoE architectures, and PEFT techniques (LoRA, QLoRA).
\- Experience with MoE architectures, and PEFT techniques (LoRA, QLoRA).
\- Knowledge of TensorRT, ONNX Runtime, TVM, MLIR.
\- Familiarity with hardware\-aware optimization (GPU, NPU, Edge Devices).
\- Experience in research paper implementation or open\-source contributions.
",\
",\
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
HardwareOpen sourceProgrammingC plus plusdeploymentPythonResearchDeep Learning
Section · Company
About MulticoreWare
MulticoreWare
IT Services & Consulting
125
employees
2009
17 years old
San Jose, California
United States (USA)
₹12.5L PA avg
Avg at MulticoreWare
About
MulticoreWare offers high-performance software libraries and tools for video and imaging applications, focusing on enhancing developer productivity in compute-intensive environments.
Industries
IT Services & ConsultingHardware & Networking
Employee ratings
10 reviews
4.1/ 5
Culture
4.0
Career growth
3.4
Work-life
3.8
Employees rate it well for
Skill Development42Company Culture41
Find them on