DevOps Engineer II

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Hiring Remotely in Tokyo
Remote
3-5 Years Experience
Artificial Intelligence • Software
The Role

DevOps Engineer IIIntroduction

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.

About Edgecortix

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.

The Team

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.

Your Role and Responsibilities

  • 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.

Minimum Qualifications

  • 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.

Preferred Qualifications

  • 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

What’s in it for you?

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.

Benefits and Perks

  • 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)
The Company
HQ: San Francisco, California
38 Employees
On-site Workplace
Year Founded: 2019

What We Do

EdgeCortix is an Edge Artificial Intelligence (AI) Platform company, pioneering the future of the connected intelligent edge. It was founded in 2019 with the radical idea of taking a software first approach, while designing an artificial intelligence specific runtime reconfigurable processor from the ground up using a technique called "hardware & software co-exploration". Targeting advanced computer vision applications first, using proprietary hardware and software IP on existing processors like FPGAs and custom designed ASIC, the company is geared towards positively disrupting the rapidly growing AI hardware space across defense, aerospace, smart cities, industry 4.0, autonomous vehicles and robotics

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