
Sofware Verification Systems Team Lead
3 weeks ago
Client:
Our client, a leading
Multinational Semiconductor Telecom Company
, requires a
Software Verification Systems Team Lead
for a role based in
Cork City, Ireland.
As this is a Team Lead position, it requires the individual to be onsite four days per week; there are no exceptions to this requirement.
Role:
You will join the machine learning verification team.
This is a fast-paced team working on cutting-edge software to enable the future of
AI on DSPs.
The lead will be responsible for ensuring that the software sent to customers works
out of the box for any model.
The ideal candidate will have a strong background in verification of complex systems and will be able to use that background to create new standards for
testing machine learning software.
Responsibilities:
The verification lead will be responsible for driving quality in a highly complex system by implementing new processes, aligning requirements across multiple organizations, and driving the development of new tools to create efficient testing processes.
The lead will be asked to grow the team to 5-10 engineers to accomplish these goals.
The ideal candidate will have a strong background in verification, excellent leadership and communication skills, experience in writing software, strong analytical and technical skills, and the ability to work independently and collaboratively with others.
Requirements:
Lead a team of 5-10 engineers to develop a verification process for complex machine learning optimization software.
Define acceptance criteria, performance metrics, and test accuracy.
Work closely with the development team to clarify requirements, provide feedback on code quality, drive documentation improvements, and ensure defect identification and resolution occurs on time.
Drive the team to meet the highest code and product quality standards.
Guide the team to understand and meet customer requirements.
Develop and maintain test plans, test cases, and test scripts.
Experience:
Bachelor's degree in computer science or a relevant discipline; a master's degree is preferable.
10+ years of practical experience in software engineering.
Excellent analytical, problem-solving, and technical skills.
Experience with compilers or software optimized for specific hardware.
Leadership skills.
Strong written and verbal communication skills.
Experience with distributed systems.
Experience with batch compute.
The ability to work independently and to collaborate with others.
Preferred skills:
Python software development of automation infrastructure.
Linux system administration.
Docker, Git, Jenkins, NFS, GitHub CI, Splunk, SQL.
Server sysadmin in support of local teams.
Proven experience as an ML Ops/DevOps Engineer or similar role.
Experience with industry standard CI/CD pipelines and automation tooling (e.g., Jenkins, GitHub CI).
Proficient in Python programming and automated testing.
Sysadmin experience within a device farm setting (physical device management).
Advanced-level skills in Linux system administration, Docker, Git, Jenkins, NFS.
Experience with SQL, data visualization tools.
Strong problem-solving skills and the ability to troubleshoot complex system issues.
Excellent communication and collaboration skills to work effectively within a cross-functional team spanning several time zones.
Contact:
For further information, please contact Mícheál at Software Placements Ltd on 00353 or email
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