Software Verification Specialist
2 weeks ago
Role Overview:
The ideal candidate will lead a team of engineers to develop a verification process for complex machine learning optimization software. 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.
Key Responsibilities:
- 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.
Requirements:
- 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.
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