We're looking for an experienced DevOps Engineer to join a world-class software team in Santa Clara (Hybrid).
This is a leading international semiconductor company building AI processors that are transforming computer vision, language processing, reinforcement learning and a lot more.
The team is seeing lots of market success, and you'd be representing a company worth almost half a billion USD.
Job Description :
You'll play a key role in designing, implementing, and optimizing our automated testing infrastructure for various platforms.
You'll collaborate closely with software engineering teams to ensure the consistent delivery of high-quality software to our customers.
This is a unique opportunity to make a significant impact in a dynamic startup environment.
Responsibilities :
- Contribute to the design and enhancement of automated testing infrastructures for GPU, Enterprise, Automotive, and Mobile Tegra platforms.
- Develop and enhance modules for generic frameworks and harness using Python or similar languages.
- Improve and maintain our infrastructure codebase to support scalability and reliability.
- Collaborate with software engineering and product teams to streamline software production, testing, and delivery processes.
- Develop and implement test plans, modify existing test infrastructures, and create new test suites as necessary.
- Participate in bring-up tasks for new GPU, Enterprise, and Tegra platforms / chips.
- Debug and fix issues with existing and new tests, system configurations, and hardware setups.
Qualifications :
- Solid object-oriented programming skills in Python
- Experience with Linux development tools.
- Strong problem-solving skills and experience designing large systems.
- Knowledge of CI / CD systems, with hands-on experience in Docker and virtualization.
- Proficiency with configuration management tools such as Ansible, Chef, or Puppet.
- Experience maintaining cloud infrastructure and highly available production environments.
- 8+ years of proven experience in a similar role.
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience.
Preferred Qualifications :
- Ability to analyze situations and troubleshoot effectively using various tools and problem-solving techniques.
- Experience with data analytics / visualization tools like Kibana, Grafana, or Splunk.
- Prior experience managing large-scale infrastructure.
- Outstanding interpersonal and communication skills.
- Background in computer algorithms.
If you're interested in the above, please apply.
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