Post-Silicon Validation Engineer
2 weeks ago
Job Overview:
We are looking for a motivated and detail-oriented engineer to join our post-silicon validation team at Mindlance. This role is crucial in ensuring the quality and performance of our System on Chip (SoC) silicon products.
Key Responsibilities:
- Oversee and manage high-volume validation tasks, including nightly regression tests.
- Provide laboratory support for hardware configuration management and logistics.
- Manage operations for robotic handlers.
- Conduct IT activities related to lab management.
- Develop automation solutions to enhance operations and scale SoC validation and integration processes.
- Initiate and drive new validation initiatives.
- Create automation frameworks to improve validation processes for efficiency and reliability.
- Collaborate with project managers, leads, users, and software engineers to refine processes and establish end-to-end automation requirements and solutions.
- Document and formalize validation processes, including inputs, flowcharts, outputs, and dashboards, in collaboration with stakeholders.
- Participate in team meetings and brainstorming sessions as needed.
- Address challenges related to lab infrastructure.
- Provide support to customers as required.
Essential Skills:
- Strong understanding of post-silicon validation methodologies and SoC concepts, including DDR, clocks, and PMIC.
- Familiarity with laboratory equipment, such as thermal chambers, and their applications in post-silicon validation.
- Proficient in managing lab hardware resources and logistics.
- Solid IT skills, including knowledge of PCs and software configurations.
- Experience with automation tools and scripting languages, particularly Python.
- Excellent problem-solving and communication skills.
Technologies:
- Compiler toolchains for embedded software (e.g., LLVM or GCC).
- Familiarity with JTAG/T32.
- Workflow automation tools (e.g., Jenkins).
- BI/dashboarding tools such as Splunk, SQL, and databases.
- Documentation and ticketing tools like Jira, SharePoint, and Confluence.
Education Requirements:
- Bachelor’s degree in Computer Engineering or a related field.
Physical Requirements:
- Ability to push, pull, and lift weights up to 20 pounds.
- No forklift operation required.
Driving Requirements:
- Occasional driving between campus buildings may be necessary to transport lab hardware.
- Expected driving time is less than 2 hours per week.
Work Environment:
This position requires 100% onsite work, with a standard work schedule from Monday to Friday, 8:30 AM to 5:00 PM PST. The role involves a commitment of 40 hours per week.
Equal Opportunity Employment:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on minority status, gender, disability, religion, sexual orientation, age, or veteran status.
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