Software Engineering Intern, Robotics Perception Research - Fall 2025

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, RoboticsIndustries

Requirements

Candidates should be pursuing a Bachelor’s or Master’s degree in Computer Science or a related field, and possess experience in software development utilizing Python and the deep-learning software stack, including Pytorch, Tensorflow, or Jax. Background in reinforcement learning, imitation learning, sensor simulation, and synthetic data generation is also required.

Responsibilities

The Software Engineering Intern will develop and evaluate novel perception approaches for robotics tasks utilizing synthetic simulation, create benchmarks to validate robot task performance, collaborate with research and engineering teams to integrate and validate approaches, and assist in accelerating the development of autonomous systems and shaping the future of robotics and AI.

Skills

Python

Pytorch

Tensorflow

Jax

Reinforcement Learning

Imitation Learning

Sensor Simulation

Synthetic Data Generation

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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