AI/ML Software Engineer/Architect

Axiado is an AI-enhanced security processor company redefining the control and management of every digital system. The company was founded in 2017, and currently has 35 employees. At Axiado, developing great technology takes more than talent: it takes amazing people who understand collaboration, respect each other, and go the extra mile to achieve exceptional results. It takes people who have the passion and desire to disrupt the status quo, deliver innovation, and change the world. If you have this type of passion, we invite you to apply for this job.

Job Overview


AI/ML Software Engineer/Architect position is your opportunity to join one of the industry’s leading companies in security platform solutions for network/systems control, management security systems, and IIoT. As a part of the Axiado team, you will develop next-generation capabilities in platform security, and work on industry-standard technologies like TensorFlow and PyTorch. You will report to the SVP of Engineering.

You should be an experienced software specialist with system-level understanding and expertise of AI/ML technologies that you can apply to developing processes to tackle hardware, software, and firmware platform security problems related to data centers, base stations, and IIoT.

Key Responsibilities


  • Lead the design and implementation of core systems of AI platform to optimize data-driven decision-making process;
  • Support full software stack across the life cycle from concept to production; and
  • Collaborate with software, firmware, DV, FPGA, DFT, SoC integration, and backend teams throughout various stages of platform development.

QUALIFICATIONS AND SKILLS


  • Demonstrated expertise in various ML models with emphasis on building production-ready AI/ML systems;
  • Hands-on experience with deep-learning frameworks like PyTorch, TensorFlow, or similar;
  • Understanding of various DL network architectures spanning CNNs, RNNs/LSTMs, transformers/NLP, and more;
  • Strong Python skills, and proven experience assessing requirements and developing system level solutions;
  • Hands-on experience with training and inference systems with results visualization and analysis methodologies;
  • Strong proven knowledge of compute virtualization and interfacing to Hypervisor/OS;
  • Familiarity with data center platform architectures and standard interfaces like Ethernet/IP, PCIe, USB, etc.;
  • Knowledge of Linux infrastructure and development tools;
  • Ability to conduct research independently;
  • Professional communication skills to collaborate with internal and external partners.


ACADEMIC CREDENTIALS


  • M.Sc. or Ph.D. in Computer Science, Computer Engineering or relevant technical field


To apply for this role, please submit your cover letter and resume.