Staff Machine Learning Engineer
Location: Remote
Compensation: To Be Discussed
Reviewed: Tue, Oct 20, 2026
This job expires in: 30 days
Job Summary
Contributing to the development and evolution of ML/AI compilers, the full-time remote Staff Machine Learning Framework, Compiler & Performance Engineer will analyze algorithms and workloads to enhance Qualcomm's ML hardware and software offerings.
Key Responsibilities
- Contribute to the development of ML/AI compilers for efficient mapping of algorithms on hardware
- Define and implement algorithms for compiling ML/AI workloads to optimize performance and power consumption
- Create performance-driven simulation components for analyzing high-performance hardware/software algorithms
Required Qualifications
- Bachelor's, Master's, or PhD in Computer Science, Engineering, Information Systems, or related field with relevant work experience
- Strong background in algorithm development and performance analysis
- Proficiency in C++ and Python
- Experience in compiler and/or GPU design and development
- Knowledge of network model formats/platforms such as PyTorch and ONNX
Complete Job Description
The complete job description is available to members. Premium membership includes:
Full access to 37,677 remote jobs from human-vetted companies, updated daily
Resume Builder - AI-powered tool to craft, enhance, and tailor your resume to a specific job
Twice-monthly live group coaching and the full Remote Career Center
20% member discount on Career Services
Backed by a 30-day money-back guarantee