Staff Engineer-Machine Learning

9 Hours ago • 8 Years +

Job Summary

Job Description

As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. This role involves leading cutting-edge initiatives fusing Machine Learning with semiconductor design, driving robust systems that transform chip development workflows, and collaborating with cross-functional teams to enhance mobile, edge, auto, and IOT products.
Must have:
  • Design and develop ML-integrated EDA software platforms.
  • Guide and mentor software engineers and ML practitioners.
  • Refine software development processes and best practices.
  • Spearhead advanced algorithm design for EDA flows.
  • Engineer reliable and scalable data pipelines for ML models.
  • Oversee full-stack deployment strategies for ML applications.
  • Establish and maintain comprehensive ML Ops infrastructure.
  • Experience in system integration and testing initiatives.
  • Manage CI/CD pipelines, QA standards, and system scalability.
  • Ensure reliability and scalability of large system deployments.
  • 8+ years experience in software development, ML, and EDA tools architecture.
  • Strong coding in Python, C++, TensorFlow, PyTorch, Scikit-learn.
  • Solid grasp of CI/CD tools like GitLab, Jenkins.
  • Deep knowledge of MLOps platforms like MLflow, Kubeflow.
  • Experience with EDA tools such as Synopsys, Cadence, Siemens.
  • Skilled in data engineering and cloud/on-prem infrastructures (AWS, GCP, Kubernetes).
Good to have:
  • MS or PhD in Computer Science, Electrical Engineering, or a related field.
  • Expertise in advanced ML techniques (e.g., graph neural networks or reinforcement learning applied to EDA).
  • Contributions to open-source, patents, or technical publications related to ML-driven design automation.
Perks:
  • World-class health benefit option providing world-class coverage to employees and their eligible dependents.
  • Programs designed to help employees build and prepare for a financially secure future.
  • Self and family resources to build emotional/mental strength and resilience.
  • Wellbeing programs and resources to help employees Live+Well and Work+Well.
  • Continuous learning and development programs.
  • Tuition reimbursement.
  • Mentorships.

Job Details

Job Posting Date

2025-09-04

***

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

• Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

• PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Staff Software Developer — Machine Learning for EDA Systems

Minimum Experience: 8+ years in software development

🌟 Role Overview

We are looking for a seasoned Software developer with a minimum of 8 years’ experience in designing, deploying, and scaling software platforms in the realm of Electronic Design Automation (EDA). You will lead cutting-edge initiatives that fuse Machine Learning with semiconductor design, driving robust systems that transform chip development workflows.

🏗️ Key Responsibilities

  • Design and develop end-to-end ML-integrated EDA software platforms built for scale, performance, and adaptability.
  • Guide and mentor a team of software engineers and ML practitioners, fostering innovation and engineering excellence.
  • Own and refine software development processes, embedding best practices and agility across teams.
  • Spearhead advanced algorithm design tailored for automation and optimization in EDA flows.
  • Engineer reliable and scalable data pipelines to fuel ML model development and inference.
  • Oversee full-stack deployment strategies, enabling ML applications to function across diverse environments.
  • Establish and maintain comprehensive ML Ops infrastructure, supporting continuous training, deployment, and monitoring.
  • Experience in system integration and testing initiatives, ensuring seamless operability across large systems.
  • Manage CI/CD pipelines, quality assurance standards, and system scalability from prototype to production.
  • Ensure reliability and scalability of large system deployments for high-performance compute platforms.

💡 Required Skills & Experience

  • 8+ years of experience in software development, with a focus on architecture for ML and EDA tools.
  • Strong coding chops in Python, C++, and frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Solid grasp of CI/CD tools (e.g., GitLab, Jenkins) and MLOps platforms (e.g., MLflow, Kubeflow).
  • Deep knowledge of EDA tools and flows, including experience with platforms such as Synopsys, Cadence, or Siemens.
  • Skilled in data engineering and cloud/on-prem infrastructures (AWS, GCP, Kubernetes).
  • Sharp communication and leadership skills, with a track record of cross-functional collaboration.

🏆 Preferred Qualifications

  • MS or PhD in Computer Science, Electrical Engineering, or a related field.
  • Expertise in advanced ML techniques—e.g., graph neural networks or reinforcement learning applied to EDA.
  • Contributions to open-source, patents, or technical publications related to ML-driven design automation.

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 disability-accomodations@qualcomm.com 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.

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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