| JOB POSTING INFORMATION | |||||||||||
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| Position Type: | Summer Co-op Work Term (12-16 weeks) | ||||||||||
| Job Title: | Software Engineering Intern | ||||||||||
| Job Location: | Toronto | ||||||||||
| Job Location Type: | Flexible | ||||||||||
| If working on site, can you provide a copy of your COVID-19 safety protocols?: | Yes | ||||||||||
| Number of Positions: | Multiple | ||||||||||
| Salary: | $0.00 hourly for 0.0 hours per week | ||||||||||
| Start Date: | 06/03/2024 | ||||||||||
| End Date: | 06/06/2025 | ||||||||||
| Job Function: | Engineering | ||||||||||
| Job Description: |
By submitting your resume, you’re expressing interest in one of our 2024 NVIDIA Software Engineering internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internships. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Software teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Throughout the 12- 16 month co-op, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field. Potential Internships in this field included (but not limited to): Software Cloud Understanding the overall architecture and design of our cloud storage infrastructure Implementing, managing, and troubleshooting storage and data platform tools/technology, and automating storage infrastructure end-to-end Software Tools Infrastructure A software team that enables architects to build the next generation of amazing hardware, including GPU Development Tools, Chip Design, Validation, and Workflow Tools & Metrics, Process Management, and Compute Infrastructure teams Data Science Building GPU accelerated next generation AI Streaming platforms for Big Data and AI streaming workloads using parallel programming on GPUs leveraging CUDA Web Development Working on multiple web-based tools and applications, ensuring the framework/libraries are flexible and performs to meet all users’ requirements |
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| Job Requirements: |
What we need to see: 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 |
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| Preferred Disciplines: |
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| All Co-op programs: | No | ||||||||||
| Targeted Co-op Programs: |
Targeted Programs
Professional Experience Year Co-op (12 - 16 months)
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| APPLICATION INFORMATION | |
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| Application Deadline: | Nov 19, 2023 11:59 PM |
| Application Receipt Procedure: | Employer Website |
| If by Website, go to: | https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/NVIDIA-2024-Internships--Software-Engineering-Intern_JR1970082 |
| Additional Application Information: |
Note to PEY Co-op applicants: In addition to your application by email/website, please ensure that you select the “I intend to apply for this position” tab on the portal. This will give us a record of your submitted application in the event that you will be invited for interviews. |
| U of T Job Coordinator: | Robin Kotisa |
| ORGANIZATION INFORMATION | |
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| Organization: | NVIDIA |
| Division: | Main Office |
| ADDITIONAL INFORMATION | |
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| Length of Workterm: | FLEXIBLE PEY Co-op: 12-16 months (range) |