Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
Job Overview:
The Qualcomm Cloud
AI
team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are
seeking
ambitious, bright, and innovative engineers with experience in machine learning framework development.
Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so
good communication
, planning and execution skills are
a must
.
We are
seeking
a highly skilled and motivated Language Model Engineer to join our team. The primary role of the engineer will be to train Large Language Models (LLMs) from scratch and fine-tune existing LLMs on various datasets using
state-of-the-art
techniques.
Responsibilities:
Model
architecture
optimizations
:
optimize
latest LLM and
GenAI
model architectures for NPUs, which involves reimplementing basic building blocks of models for NPUs
Model Training and Fine-tuning:
Fine-
tune
pre-trained models on specific tasks or datasets to improve performance. Implement
state-of-the-art
LLM training techniques such as Reinforcement Learning from Human Feedback (RLHF),
ZeRO
(Zero Redundancy Optimizer), Speculative Sampling, and other speculative techniques.
Data Management:
Handle large datasets effectively. Ensure data quality and integrity. Implement data cleaning and preprocessing techniques.
Hands-on with EDA is a plus.
Model Evaluation:
Evaluate model performance using
appropriate metrics
. Understand the trade-offs between different evaluation metrics.
LLM metrics:
Sound understanding of various LLM metrics like MMLU, Rouge, BLEU, Perplexity etc.
AWQ:
Understanding of Quantization is a plus. Knowledge
on
QAT will be a plus.
Research and Development:
Stay up to date
with the latest research in NLP and LLMs. Implement
state-of-the-art




techniques and contribute to research efforts.
Infrastructure
development :
For
coming up with
current optimization techniques to minimize ONNX
memory footprint, export time optimizations.
Collaboration:
Work closely with other teams to understand requirements and implement solutions.
Required Skills and Experience:
Deep Learning Frameworks:
Hands-on experience with
PyTorch
at a granular level. Familiarity with tensor operations, automatic differentiation, and GPU acceleration in
PyTorch
.
NLP and LLMs:
Strong understanding of Natural Language Processing (NLP) and experience working with LLMs.
Programming:
Proficiency
in Python and experience with software development best practices.
Data Handling:
Experience working with large datasets. Familiarity with data version control tools is a plus.
Education:
A degree in Computer Science, Machine Learning, AI, or related field. Advanced degree is a plus.
Communication:
Excellent written and verbal communication skills.
Work
experience :
Open, 4 – 10 years
of relevant experience
.
Preferred Skills:
Optimization:
Knowledge of optimization techniques for training large models.
Neural Architecture Search (NAS):
Experience with NAS techniques for
optimizing
model architectures is a plus.
Hands-on experience with CUDA, CUDNN
and Triton-lang
is a plus.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR




PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Applicants
:
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail
******
or call Qualcomm's toll-free number found
here
. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies
:
Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited
resumes/applications.
If you would like more information about this role, please contact
Qualcomm Careers
.

📌 Cloud Ml - Lead Engineer (Bengaluru)
🏢 Qualcomm
📍 Bengaluru