精选SDE岗位 | Apple、Intel、NVIDIA公司岗位发布！

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行业分类：Consumer electronics, Software services

公司规模：164,000 (2022)

工作地点：San Diego, California, United States；Software and Services

• Proven task management

• Effective interpersonal skills

• Proficient in at least one of C/C++/Objective-C/Swift

• Experience with Python/Lua/Bash

• Experience developing in Unix, Linux, or macOS

• Experience debugging at all levels of an operating system

• Familiar with embedded system architecture

【Intel】

职位：Digital Front End Design Automation

行业分类：Semiconductors,Computer hardware,Autonomous cars,Automation,Artificial intelligence

公司规模：131,900 (2022)

工作地点：Hillsboro, Oregon, United States

• Candidate must possess a BS degree with 3+ months or experience or MS degree with 6+ months of experience in Computer Science, Computer Engineering, Electrical Engineer, or related field.

• 3+ months of experience in the following:

• - Git revision control system

• - Debugging of Synopsys digital design tools and flows: VCS, Verdi, URG, VC-LP

• - Debugging of Cadence digital design tools and flows: Conformal

• - UNIX shell scripting

• - Perl or Python Scripting

【NVIDIA】

职位：NVIDIA Summer 2024 Internships: Software Engineering Intern

行业分类：Software, Fabless, Artificial intelligence

公司规模：22,473 (2022)

工作地点：US, CA, Santa Clara；US, Remote

职位要求：

• Currently pursuing a Bachelor's, Master's, or PhD degree within a relevant or related field

• Depending on role, prior experience or knowledge requirements could include programming skills and technologies such as: C, C++, Python, Perl, Java, JavaScript, Unix/Shell Scripting, Graphics & GPGPU APIs (Vulkan, DirectX, OpenGL, CUDA, OpenCL), Data Processing Tools (ElasticSearch, Kibana, Grafana, MongoDB), OOP, GitLab, Linux, Go, SPARK, RAPIDS, REST API, CI/CD, Container Tools (Docker/Containers, Kubernetes), Infrastructure Platforms (AWS, Azure, GCP), Data Technologies (Kafka, ELK, Cassandra, Apache Spark), HTML, CSS, React, Angular, Kubernetes, and/or Ruby

• Relevant academic of professional experience in Data Structures and Algorithms, Operating Systems, Distributed Systems, GPU Development, and/or Data Science