3 дня назад
Software Engineer, AI Platform - Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, AI Platform - Intern (AI): Building data platforms, onboard systems, ML infrastructure, simulation frameworks, and technical infrastructure for Level 4 autonomous driving with an accent on machine learning, robotics, distributed systems, and large-scale data processing. Focus on designing backend APIs, optimizing cloud training and onboard inference, simulating autonomous-driving scenarios, and improving software performance and reliability.
Location: Mountain View, California, United States
Company
is a physical AI company developing Level 4 autonomous driving technology and a universal autonomy platform for robotaxis, logistics fleets, and personal vehicles.
What you will do
- Build and improve data platform capabilities for AI Driver data, labels, metrics, annotation, ingestion, mining, and autonomy evaluation.
- Develop reliable, high-performance onboard systems that integrate autonomy software and algorithms across self-driving platforms.
- Build ML infrastructure for distributed training, cloud-based model development, onboard inference, ML compilation, and reusable model components.
- Develop simulation systems, including core simulation frameworks, sensor simulation, scenario generation, and real-world and synthetic data solutions.
- Contribute to technical infrastructure such as compute platforms, large-scale storage, cloud infrastructure, build systems, and CI/CD tools.
Requirements
- Current BS or MS student in Computer Science, Electrical Engineering, Robotics, or a related field.
- Expected graduation in December 2026 or later.
- Experience with one or more of backend API design, application development, large-scale distributed systems, or data storage and processing systems.
- Experience with advanced algorithms using C++ and Python, machine learning, multithreading, x86 architecture, software performance optimization, robotics software frameworks, or CPU, GPU, and FPGA computing.
- Strong problem-solving and programming skills.
Culture & Benefits
- Close collaboration with experts in machine learning, robotics, software, hardware, and systems safety.
- Work across interdisciplinary AI Platform and autonomy teams.
- Commitment to diversity, inclusion, psychological safety, and an equal-opportunity workplace.
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