Job description

We are currently looking for an experienced Embedded Software Engineer who enjoys collaboration, the freedom to explore, the visibility that comes from doing breakthrough research and ultimately seeing it monetized in our business model. As a team we are focused and passionate but with an emphasis on cooperation, not competition and a strong belief in the value of work-life balance.

  • Accelerate deep neural network (DNN) execution on energy-efficient embedded processors
  • Work on benchmarking and selection of processors for various DNN applications that optimize the tradeoffs of speed, cost, and energy-efficiency
  • Develop flexible libraries/frameworks/tools to enable better tradeoffs between developer productivity and software execution speed
  • Opportunities to gain experience with DNNs
  • Opportunities to interact with customers and to draw your own conclusions about how we can best serve them
  • Easy access to supplies and equipment as needed
  • Location: Mountain View, CA

Important Qualifications

  • Experience writing production-quality code that executes on digital signal processors using a test driven development methodology
  • Experience in engineering software for vector instruction-sets
  • Experience in engineering parallel software
  • Experience in embedded software testing on multiple platforms
  • Degree in Electrical Engineering, Computer Engineering, or a similar field

Nice-to-have Qualifications

  • Experience in the automotive industry
  • Experience in working with real time video pipelines
  • Experience with applications in sensor processing, computer vision, or automotive control
  • Research experience in developing programming languages or compilers
  • Experience in DevOps or system administration

Email your resume or CV to: jobs@deepscale.ai