Senior Engineer Autonomous Deep Learning

Position: Senior Engineer for Autonomous Deep Learning
Lead the optimization of deep learning models for cutting-edge autonomous systems as a Senior Engineer. Engage in technical challenges to enhance efficiency and performance on state-of-the-art edge hardware.
In this critical role, you will be responsible for deep learning inference optimization in robotics and automotive applications. Collaborate directly with industry partners and internal teams to explore new models, benchmark performance, and develop innovative solutions. Your hands-on expertise will be vital for driving advancements that impact real-world applications.

Key Responsibilities:

• Collaborate with partners on optimization strategies

• Drive performance benchmarking and actionable insights

• Evaluate new deep learning architectures for implementation

• Contribute to build reviews and roadmap development

• Deliver TensorRT solutions for diverse workloads
Requirements:

• Master’s degree in Computer Science or related field

• 12+ years of relevant industry experience

• 5+ years in production of edge software

• Strong background in DL architectures and GPU performance

• Proven ability to work with external technical teams
Drive the evolution of deep learning applications and contribute to technological breakthroughs in autonomous vehicles and robotics.
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