Software Engineer, ML Performance

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August 4

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Serve Robotics

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Transport • Artificial Intelligence

Serve Robotics is an innovative company focused on revolutionizing the delivery industry with its autonomous delivery robots. The company aims to make delivery services more affordable, sustainable, and convenient by using self-driving robots instead of traditional two-ton vehicles for small deliveries like burritos. Through a commercial deal with Uber, Serve Robotics plans to deploy up to 2,000 robots, marking a significant advancement in the autonomous delivery sector.

51 - 200 employees

Founded 2017

🚗 Transport

🤖 Artificial Intelligence

💰 $30M Venture Round on 2023-08

📋 Description

• At Serve Robotics, we’re reimagining how things move in cities. • Our personable sidewalk robot is our vision for the future. • We are seeking a highly skilled ML Performance Engineer to join our robotics team. • This technical role bridges the gap between ML research and real-time deployment. • Manage memory layout, concurrency, and scheduling for optimized GPU and CPU usage. • Collaborate with QA and systems teams to validate model behavior in field scenarios.

🎯 Requirements

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or equivalent field. • 3+ years experience in deploying ML models on embedded or edge platforms (preferably robotics). • 2+ years of experience with CUDA, TensorRT, and other NVIDIA acceleration tools. • Proficient in Python and C++, especially for performance-sensitive systems. • Experience with NVIDIA Jetson (e.g., Xavier, Orin) and edge inference tools. • Familiarity with model conversion workflows (e.g., PyTorch → ONNX → TensorRT).

🏖️ Benefits

• Offers Equity