Lead/Staff - ML Engineer

Leading technology innovator that pushes boundaries to enable next-generation experiences and drives digital transformation for a smarter, connected future.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI

Description For Lead/Staff - ML Engineer

Qualcomm, a leading technology innovator, is seeking a Lead/Staff ML Engineer to join their team in Hyderabad. This role combines advanced machine learning expertise with practical engineering applications in the wireless domain. You'll work on cutting-edge projects involving LLMs, data engineering, and ML systems while collaborating with cross-functional teams. The position offers an opportunity to impact next-generation technologies while working with some of the industry's leading experts.

The ideal candidate will bring strong technical expertise in ML engineering, data modeling, and big data technologies, particularly with AWS stack. You'll be responsible for designing and implementing ML solutions, managing data pipelines, and driving innovation in wireless ML applications. The role requires both technical depth in ML/AI and the ability to work effectively with various engineering teams.

Qualcomm offers a comprehensive benefits package including world-class health coverage, financial planning support, and continuous learning opportunities. The company fosters an inclusive culture that encourages innovation and professional growth. This role presents a unique opportunity to work on transformative technologies while developing your career at a global technology leader.

The position requires significant experience in ML engineering and software development, with particular emphasis on practical implementation of ML systems. You'll be part of a team that's pushing the boundaries of what's possible in wireless technology and AI, making this an exciting opportunity for someone looking to make a significant impact in the field.

Last updated 4 hours ago

Responsibilities For Lead/Staff - ML Engineer

  • Design, develop, create, modify, and validate embedded and cloud edge software
  • Collaborate with systems, hardware, architecture, and test engineers
  • Complete coding tasks to specifications on time without significant errors
  • Resolve complex software issues and bugs
  • Write readable code for large features
  • Unit test code to verify stability and functionality
  • Manage and prioritize project deadlines and deliverables
  • Interface with Wireless Systems/SW engineers and understand Wireless ML domain

Requirements For Lead/Staff - ML Engineer

Java
Python
Kafka
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 6+ years experience, or Master's with 5+ years, or PhD
  • 2+ years experience with Programming Languages (C, C++, Java, Python)
  • Experience with data modeling, data warehousing, and ETL pipelines
  • Solid LLM experience
  • Experience with AWS analytical technologies (Glue, Athena, QuickSight, SageMaker)
  • Experience with Big Data tools and SQL
  • Strong data visualization skills
  • Understanding of Machine Learning with prior ML Engineering experience
  • Ability to interface with Wireless Systems/SW engineers

Benefits For Lead/Staff - ML Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
  • World-class health coverage for employees and dependents
  • Financial planning and security programs
  • Emotional/mental health support
  • Wellbeing programs
  • Tuition reimbursement
  • Mentorship programs
  • Continuous learning and development programs

Interested in this job?

Jobs Related To Qualcomm Lead/Staff - ML Engineer

Machine Learning Engineer

Senior Machine Learning Engineer role at Apple focusing on compiler development for Neural Engine Accelerator architecture, offering competitive compensation and benefits.

AIML - Cloud Infra Engineering Manager, Machine Learning Platform & Infrastructure

Lead Apple's ML infrastructure team building scalable cloud solutions for AI-powered search systems, managing engineering teams and driving technical innovation.

ML Engineer L5 - Ads Platform Engineering (Forecasting)

Senior ML Engineer position at Netflix focusing on ads platform engineering and forecasting, building scalable ad tech solutions.

Manager II, Generative AI

Lead Uber's Generative AI initiatives as Manager II, overseeing development of AI-powered customer support solutions and managing a team of ML engineers.

AI NPU Compute Apps - Product Manager Senior

Senior Product Manager role leading AI NPU compute apps strategy and development at Qualcomm, focusing on breakthrough AI experiences and LLM optimization.