About the role
Apply your knowledge of machine learning technologies to cutting edge products and tackle complex engineering challenges. Joining Trimble Applanix, you will gain hands-on experience developing advanced firmware for real-time navigation systems while collaborating with a high-performing engineering team. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Enrolled in a Masters or PhD program in Electrical Engineering, Computer Engineering, Aerospace Engineering, or Mechatronics Engineering
- Demonstrated experience with Google Tensor Python development
- Practical experience with TinyML library deployment in MCU environments
- Strong technical expertise in Kalman filtering and machine learning techniques
- Fluent software development skills using C/C++ languages in real-time and Linux environments
More about this role
Shape the Future of Autonomous Systems: Navigation & Machine Learning Engineering Intern (16 Months)
Apply your knowledge of machine learning technologies to cutting edge products and tackle complex engineering challenges. Joining Trimble Applanix, you will gain hands-on experience developing advanced firmware for real-time navigation systems while collaborating with a high-performing engineering team.
In this role, you will be at the forefront of implementing cutting edge machine learning algorithms directly into navigation firmware, directly influencing system performance and shaping the future of autonomous positioning technology.
- Take part in machine learning development activities related to Trimble Applanix APX/AP+ firmware.
- Drive critical engineering activities including debugging, data analysis, and algorithm implementation for real-time systems.
- Develop software using industry standard development tools such as GIT and JIRA within an agile team framework.
- Collect, structure, and organize high quality datasets to power continuous navigation model improvements.
- Produce comprehensive technical documentation to support system level integration and ongoing...
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