Lead, Staff, and Senior Level Software Engineer – Perception Roles

well-funded deeptech startup; California (MO); On-site; USD 140,000 - 230,000; Full time

Job summary

Join a well-funded deeptech startup as a Lead, Staff, or Senior Level Software Engineer focused on automating construction and mining through advanced technology. You'll be developing the perception stack and applying machine learning to improve safety and environmental sustainability.

The ideal candidate will hold an M.S. or Ph.D. in a relevant field and possess strong programming skills in C/C++ and Python. Expertise in deep learning frameworks like PyTorch and TensorFlow is essential, along with knowledge of lidar and sensor fusion.

Qualifications

• M.S. or Ph.D. in Electrical Engineering, Computer Science, Robotics, Physics, or Applied Mathematics.
• Strong programming skills in C/C++ and Python.
• Expertise in deep-learning frameworks (PyTorch and TensorFlow).
• Knowledge in lidar, sensor fusion, prediction, and tracking.

Responsibilities

• Develop the whole perception stack and own the vision for perception.
• Apply machine learning techniques for varied perception tasks.
• Identify and troubleshoot issues related to perception software.

Skills

C/C++ programming

Python programming

Deep learning frameworks

Lidar and sensor fusion

Education

M.S. or Ph.D. in relevant technical field

Job description

Lead, Staff, and Senior Level Software Engineer – Cutting Edge Automated Guided Vehicle Tech Company – $140K-230k Plus bonus and stock options

This recently funded startup is automating the construction and mining space by retrofitting existing industrial vehicles to make them autonomous. Work alongside industry experts to develop autonomous systems using off-the-shelf components including cameras, microprocessors and lidar sensors and write machine learning software to make the work of mining and building more environmentally sound and safer.

Job Responsibilities:

• Develop the whole perception stack and own the vision for perception.
• Apply machine learning techniques, including deep learning, to train and fine-tune models for varied perception tasks.
• Identify and troubleshoot issues related to perception software, addressing challenges in data quality, algorithmic performance, and system integration.

Must Haves:

• M.S. or Ph.D. in Electrical Engineering, Computer Science, Robotics, Physics, Applied Mathematics or related technical field
• Strong programming skills in C/C++ and Python
• Expertise in deep-learning frameworks (PyTorch and TensorFlow)
• Knowledge and experience of lidar, sensor fusion, prediction and tracking.