Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 56 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,075–$208,800.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 660 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
Qualcomm’s Custom CPU Post-Silicon team seeks a Tools and Automation Engineer to design and develop advanced automation frameworks and software tools for functional validation, power and performance analysis, silicon characterization, and workload profiling. Day-to-day responsibilities include building scalable automation solutions, robust lab management tools, data infrastructure for large-scale test results, CI/CD pipelines, and integrating with lab equipment like Kratos and Monsoon Power Meter. The role requires strong Python programming skills, proficiency in Linux environments, shell scripting, and experience with web technologies such as React or Angular. Candidates should also have knowledge of CI/CD tools, containerization, SQL/NoSQL databases, and data visualization tools. This position offers the chance to work on cutting-edge technology and collaborate with top engineers on next-generation computing platforms.
Skills
What you'll do
- Design and implement scalable automation solutions for functional validation and power analysis.
- Build robust software tools for lab management and workload orchestration in silicon validation.
- Develop data acquisition systems for large-scale test results storage and visualization.
- Create continuous integration and deployment pipelines for rapid tool delivery.
- Automate workflows involving advanced lab instruments for precise measurements.
What we're looking for
- 5+ years of software development and automation experience in hardware validation environments.
- Strong programming skills in Python and C/C++ for performance-critical components.
- Proficiency in Linux environments, shell scripting, and automation frameworks.
- Hands-on experience with lab instruments and protocols (I2C, SPI, UART, Ethernet).
- Experience with CI/CD tools (Jenkins, GitLab CI) and containerization technologies.
- Knowledge of SQL/NoSQL databases and data visualization tools for large-scale test results.
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