Teleo Supervised Autonomy

Education Requirements:

• Undergraduate or graduate degree in Electrical Engineering or Computer Science in progress

Experience Requirements:

• Proven experience bringing up PCBAs, µC and developing algorithms on RTOS

• Strong interest in embedded firmware development for safety-critical application

Responsibilities:

• Implement, test, and validate on-board firmware used for Teleo's Supervised Autonomy

• Testing, validation, and deployment of firmware on proprietary Teleo ECUs

• Interfacing with software and hardware engineers

• Launch of new heavy equipment supported by Teleo

Education Requirements:

• Bachelor's degree in Electrical Engineering or a related field, coupled with 8+ years of hands-on experience in designing and executing complex electrical systems

Experience Requirements:

• Proficiency in the realm of robotics or autonomous systems

• Expert level in CAD tools in circuit design, PCB layout, and electrical simulation software

• A demonstrated track record in designing, producing, and deploying hardware solutions at scale

• Substantial hands-on experience across the entirety of the product lifecycle

Responsibilities:

• Direct supervision of electrical engineers

• Conception, development, manufacturing, initiation, and validation of both our current and next-generation Teleo Hardware

• Daily interactions with counterparts in mechanical engineering, embedded firmware, systems engineering, and the compliance division

Education Requirements:

• Ongoing/completed Ph.D. or Master’s degree in Computer Science or a related field

• Proficiency in Python and PyTorch

• Solid understanding of neural networks and machine learning fundamentals

• Experience with a vision-based deep learning project

Other Requirements:

• Strong enthusiasm for continuous learning

Responsibilities:

• Improve existing and implement new perception features

• Stay abreast of the latest research

• Communicate progress, challenges, and achievements to the team

• Contribute to the advancement of the field