Machine Learning Systems Integration & Test Engineer
Description For Machine Learning Systems Integration & Test Engineer
Join Qualcomm's CR&D Software team as a Machine Learning Systems Integration & Test Engineer, where you'll focus on ensuring system stability for AI inferencing solutions. You'll be working with cutting-edge technologies including Neural Network processors, Real-time OS, and various hardware blocks. The role combines hands-on testing and software development using Python and C++, requiring expertise in ML frameworks like PyTorch and TensorFlow. You'll create test strategies, automate test cases, and work closely with cross-functional teams to resolve issues. The position offers comprehensive benefits including health coverage, financial planning support, and professional development opportunities. Qualcomm provides a collaborative environment where you'll work alongside leading technology experts, contributing to world-changing innovations in AI and mobile technologies. The company's commitment to continuous learning, mentorship, and work-life balance makes it an ideal place for career growth in the AI and machine learning space.
Responsibilities For Machine Learning Systems Integration & Test Engineer
- Test development, troubleshooting and problem resolution on reference designs and customer platforms
- Test application design, coding and test development for system-on-chip products
- Interact in a team environment with developers, system engineers and testers
- Work closely with systems, software teams and test teams to develop test/test apps
- Develop test cases and automation with strong programming skills
Requirements For Machine Learning Systems Integration & Test Engineer
- Bachelor's/Master's degree in Computer Science or related field
- 2+ years of relevant testing experience in System Testing preferable on embedded systems
- Experience with ML frameworks such as PyTorch, Caffe2, TensorFlow
- Excellent programming skills in Python, Bash, C++
- Excellent problem solving, analytical and debugging skills
- Experience in source control management like Git, Gerrit and Perforce
- Excellent English communication and interpersonal skills
- Good understanding of test methodology and test processes
- Lab and hands-on debugging skills
- Basic understanding of system-on-chip technologies
Benefits For Machine Learning Systems Integration & Test Engineer
- World-class health coverage for employees and dependents
- Financial planning and future security programs
- Emotional/mental strength and resilience support
- Wellbeing programs
- Tuition reimbursement
- Mentorship programs
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