An outsourced product development firm is looking for a Senior Computer Vision and Deep Learning Engineer to join their team. This position will join and work with a team that supports several different industries, ranging from entertainment and medical, all the way to automotive. This Engineer will be responsible for researching, developing and integrating CV/AI solutions for perception problems, translating product feature requirements, and deploying real-time/optimized CV/AI solutions to embedded and edge platforms. They will participate and own the full life cycle of new products/solutions from proof of concept to integration with other components and teams.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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5+ years of industry experience working with C and Python.
5+ years as an Embedded Engineer (proficiency with developing in Linux Kernel).
Proficiency with OpenCV or similar.
Proficiency with PyTorch, TensorFlow, or related machine learning framework(s).
Experience researching, designing, and implementing end-to-end processing pipelines for custom CV/AI use cases.
Masters or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer/Electrical/Software Engineering, or a related field.
Knowledge of camera optics and computational geometry.
Experience with embedded and edge processing platforms (Nvidia Jetson devices and TensorRT in particular).
Experience with edge AI accelerators (integration, model conversions, deployment, profiling, etc.).
Robot Operating System (ROS) experience.
Experience with version control systems such as GIT and DVC.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.