We are seeking a motivated Machine Learning Engineer Intern to join our autonomous vehicle research and development team. The intern will assist in building, training, and optimizing machine learning models that enable real-time perception, decision-making, and control for self-driving vehicles.

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What you’ll be doing:

Develop and test deep learning models for object detection, tracking, and behavior prediction.
Preprocess and analyze sensor data from LiDAR, radar, and camera systems.
Collaborate with cross-functional teams on algorithm integration and performance evaluation.
Support data labeling, simulation, and validation pipelines.
Document model performance and contribute to internal reports.

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What we need to see:

Enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Electrical Engineering, Robotics, or a related field.
Strong knowledge of Python and libraries such as PyTorch or TensorFlow.
Familiarity with computer vision, deep learning, and reinforcement learning concepts.
Experience with autonomous systems, robotics, or simulation tools a plus.
Internship duration: 10–12 weeks (with potential for extension)

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About the company

Nvidia

Company overview

NVIDIA designs GPUs and full-stack accelerated computing platforms used in gaming, professional visualisation, AI, and data centres. NVIDIA also builds networking and systems products for large-scale computing, plus software platforms such as CUDA and AI libraries that developers use to train and run models. NVIDIA sells to cloud providers, enterprises, researchers, and OEM partners, alongside a large consumer gaming ecosystem. NVIDIA is headquartered in Santa Clara, California and operates globally.

Locations and presence

NVIDIA’s corporate headquarters is in Santa Clara, California, and NVIDIA operates across dozens of countries (38 countries reported for fiscal year 2025). NVIDIA reports a “flexible work environment” with work-from-home under certain conditions, with day-to-day expectations varying by team and role.

Palpable Score

76.6

/ 100

NVIDIA is a strong early-career option because NVIDIA runs a clear set of student and new-grad pathways, and NVIDIA positions internships as the main pipeline into early-career hiring. The main friction point is hiring consistency: NVIDIA publishes an applicant-facing process, but public interview reports still include ghosting and uneven closure. Pay and intern experience signals are strong, while long-run early-career outcomes are not published as metrics candidates can easily compare.

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