DSP Tools Automation Engineer (With expertise in Python and GIT)

Job Description

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: About Qualcomm: Qualcomm is the largest fabless design company in the world, generating over $15 billion in annual revenues from chipsets and royalties from intellectual property. Qualcomm provides hardware, software, and related services to nearly every mobile device maker and operator in the global wireless marketplace. About Team: The DSP design team is responsible for delivering high-performance DSP cores, which are at the heart of Qualcomm's multi-tier SoC roadmap targeted for the mobile space. Our team works on tools support and infrastructure for complex Qualcomm proprietary DSP IP. Job Responsibilities: Manage the DSP design database and support the design flows and infrastructure. Build new automations to enable the design team s to be more productive. Work closely with global DSP team in resolving critical infrastructure issues ,challenges and bottlenecks in time . Develop and deploy new tool methodologies and automation to continuously improve quality and efficiency. Required Skills and Experience: 3-10 years of experience in programming, database management, tools support, and automation. Excellent interpersonal and communication skills. Strong analytical, programming, and debugging skills. Strong experience with GIT . Excellent in Python programming Good to have: Excellent scripting and automation skills in Perl, Python , Shell, and Makefile TCI. Hands-on experience with Kubernetes/Docker . Experience with JIRA or any bug tracking tool. Basic knowledge of Clearcase. Hands-on experience in web/UI development . Knowledge of databases such as SQL and MongoDB . Familiarity with DSP/Electronics (preferred). Experience with Jenkins and CI/CD automation. Experience in project/team management (for experienced candidates) Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.