SiMa.ai is looking for a software engineer with three to eight years experience who will work with the System Applications team on the development of various tools and flows for customer enablement. As part of the team, you will work on the development of our machine learning architectural simulator. In addition, you will work on automation and expansion of the testing infrastructure for our next-generation machine learning accelerator.

Roles and Responsibilities (include, but not limited to):

• Responsible for working on machine learning applications targeting SiMa.ai MLSoC and ML IP.


• Development on SiMa.ai ML IP simulation platform and utilities.


• Run and analyse ML workloads on existing popular frameworks such as Tensorflow and PyTorch.


• Develop new methodologies needed for internal analysis and testing.


• Work with customers to understand their workloads and ML algorithms to provide analysis and develop next-generation proof of concept applications.


• Keep informed of emerging ML needs, mapping them to SiMa.ai MLSoC and capturing product requirements for these emerging trends into engineering.


• Establish regressions framework for continuous analysis of customer models.

Requirements:

• Bachelors or higher degree in computer engineering, computer science, or equivalent.


• Demonstrated proficiency in Python/C/C++, experience in ML and ML/computer vision approaches and best practices.


• Experience with deep learning frameworks (TensorFlow, Pytorch, etc.).

Benefits and Perks:

• Our flexible work environment encourages personal and family time off, as well as paternity and maternity leave.


• Competitive total compensation package, including stock awards, 401k, and employee assistance program.


• Even though we are a startup, we want all of our employees and their families to have the best health and dental coverage and have the peace of mind they are well protected.


• Cross-training opportunities available to support learning and career growth.


• Quarterly peer-to-peer recognition program fosters acknowledgment for outstanding contributions.


• Meals and snacks available in our office locations.