DevOps Engineer II

Edgecortix Inc. is seeking strong software engineers to work as part of our deep-learning compiler team. If you have a strong desire to build next-generation AI chips and systems, join us, and let's reshape the future of AI at the edge.

At Edgecortix we are a deep-tech startup revolutionizing edge computing with artificial intelligence and novel high-efficiency silicon-on-chip design. Originating from multiple years of research, our unique AI hardware & software co-exploration engine and Dynamic Neural Accelerator ™ AI processor IP are geared towards positively disrupting the rapidly growing artificial intelligence edge hardware space and bringing the power of AI and machine learning to all kinds of devices.

As a team, we are working to define and solve the hardest problems in AI including computer vision, speech, and natural language, geared towards real-time capabilities on small to medium-form factor devices. We originated out of multiple years of research, as such at our core we value learning, intellectual curiosity, and self-starters. We have the ambitious goal of enabling cloud-level performance with significantly better energy efficiency for AI inference at the edge.

• Collaborate with software engineers and QA engineers to guarantee smooth deployment, automation, and management of software infrastructure.
• Design and implement CI/CD pipelines and solutions for multiple environments and teams.
• Troubleshoot software infrastructure issues and collaborate with the team to resolve them.
• Collect and visualize AI performance profiling data and communicate with the team performance trends.
• Manage software release cycles and prepare products for public release.

• 3+ years of experience managing Jenkins, including writing CI/CD pipelines, GitHub integration, and developing Jenkins pipeline libraries.
• 2+ years experience with programming languages (Python, C++, and Groovy) and shell scripting.
• 2+ years experience using tools such as Docker or Kubernetes.
• 1+ years experience in pip packaging: setting up versioning, managing development builds, and handling public releases.
• Experience with Linux x86 as a development and target platform.
• Proficiency in Git.
• Experience with cluster management tools such as SLURM.

• Bachelor's in Computer Engineering, Computer Science, and/or Electrical Engineering.
• Experience developing for ARM (aarch64) based platforms.
• Knowledge of how to run ML models with frameworks such as PyTorch, ONNX or TensorFlow.
• Experience in creating test reports and data visualization with tools such as Grafana
• Experience setting up and managing databases (MongoDB, MySQL).
• Knowledge of C++ unit testing using tests.
• Previous experience working in an Agile environment and collaborating with multidisciplinary teams across different time zones.
• Experience with Artifact Management Systems such as Nexus or Artifactory

Make a difference: you will have the opportunity to join a well-funded fabless AI semiconductor startup that is disrupting the AI software and hardware co-design space. Be an integral part of its growth and momentum.

• Highly competitive salary and stock options
• Flex work time and ability to work fully remotely from anywhere
• Support for obtaining visa and relocation support (in the case of Japan)

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