Autonomous Marine Perception Engineer

Deepstreamtech; Austin (TX); On-site; USD 85,000 - 120,000; Full time

Job summary

Deepstreamtech in Austin, Texas is looking for a Perception Engineer to play a pivotal role in designing and implementing perception systems for autonomous vessels. The job involves developing algorithms that enable boats to sense and navigate, along with creating metrics for performance analysis. This position is open at multiple levels including entry, senior, and staff. Essential qualifications include strong programming skills, experience in maritime or autonomous vehicle projects, and familiarity with deep learning frameworks.

Qualifications

• Demonstrated ability to work on large systems.
• Understanding of operating systems and computer architecture.
• Willingness to learn and adapt to new information.
• Experience training and deploying multi-modal models.
• Experience developing and optimizing deployed ML systems.

Responsibilities

• Design and develop perception systems for autonomous surface vessels.
• Create algorithms for boats to sense and navigate.
• Quantitatively analyze improvements in boat performance.
• Work with large data systems for model training and evaluation.

Skills

Strong programming fundamentals

Extensive programming experience

Familiarity with deep learning frameworks

Proficiency in Rust

Experience with maritime or autonomous vehicle projects

Experience with signals processing

Experience with path planning algorithms

Experience with low latency inference pipelines

Job description

Deepstreamtech in Austin, Texas is looking for a Perception Engineer to play a pivotal role in designing and implementing perception systems for autonomous vessels. The job involves developing algorithms that enable boats to sense and navigate, along with creating metrics for performance analysis. This position is open at multiple levels including entry, senior, and staff. Essential qualifications include strong programming skills, experience in maritime or autonomous vehicle projects, and familiarity with deep learning frameworks.