Machine Learning Infrastructure Engineer Intern

PlusAI; Santa Clara (CA); On-site; USD 26,174 - 89,544; Part time

Benefits offered by this job

Catered free lunch

Unlimited snacks and beverages

401(k) plan

Job summary

PlusAI is seeking a Machine Learning Infrastructure Engineer Intern to work on high-performance kernels for BEV model training. In this role, you will analyze training bottlenecks and develop custom kernels using C++, CUDA, and Triton.

This internship also explores the use of LLMs to optimize code generation and performance profiling. The hourly pay ranges from $19 to $65 based on experience and location. Join Plus to innovate in the field of autonomous vehicles.

Qualifications

• Strong proficiency in C++ and understanding of memory management.
• Hands-on experience with PyTorch and understanding of training loops.
• Interest in performance tuning and low-level system optimization.

Responsibilities

• Profile Bird's Eye View model training pipelines for bottlenecks.
• Design and implement high-performance compute kernels.
• Integrate Large Language Models for generating high-performance code.
• Automate performance profiling using NVIDIA Nsight and PyTorch Profiler.
• Analyze profiling data to maximize GPU utilization.

Skills

C++

PyTorch

Performance Tuning

CUDA

Algorithm Efficiency

Tools

NVIDIA Nsight

PyTorch Profiler

OpenAI Triton

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Ready to get hands-on with real-world, large-scale data challenges? We’re seeking a Machine Learning Infrastructure Engineer Intern to join us in a project that focuses on identifying the bottlenecks and implementing high-performance custom kernels (using CUDA, Triton, or C++) to accelerate BEV model training. Uniquely, this internship will also explore the utilization of LLMs (Large Language Models) to assist in high-performance code generation, kernel optimization, and automated performance profiling with Nsight and Pytorch profiler

Responsibilities

• Identify Training Bottlenecks: Profile and analyze Bird's Eye View (BEV) model training pipelines to pinpoint computational and memory bottlenecks.
• Develop Custom Kernels: Design and implement high-performance custom compute kernels using CUDA, Triton, or C++ to accelerate the model training process.
• Leverage LLMs for Optimization: Explore and integrate Large Language Models (LLMs) to assist in generating high-performance code and optimizing kernel logic.
• Automate Profiling Workflows: Build systems to automate performance profiling and analysis using tools like NVIDIA Nsight and the PyTorch Profiler.
• Iterative Performance Tuning: Continuously analyze profiling data generated by both human and LLM-assisted workflows to maximize GPU utilization and reduce training times.

Required Skills

• Systems Programming: Strong proficiency in C++ and a solid understanding of memory management, computer architecture, and parallel processing principles.
• Deep Learning Frameworks: Hands‑on experience with PyTorch, specifically understanding custom operations, autograd, and training loops.
• Performance‑Oriented Mindset: Strong problem‑solving skills with a deep interest in performance tuning, algorithmic efficiency, and low‑level system optimization.

Preferred Skills

• GPU Programming Experience: Practical experience writing and optimizing custom GPU kernels using CUDA or OpenAI Triton.
• Hardware Profiling Tools: Familiarity with hardware and software profiling tools, particularly NVIDIA Nsight (Systems/Compute) and the PyTorch Profiler.
• LLM for Code Generation: Experience using or prompting LLMs for code writing, refactoring, or exploring AI‑assisted software development workflows.
• Autonomous Vehicle Perception: A foundational understanding of Bird's Eye View (BEV) models, 3D perception, or spatial transformers used in autonomous driving.

$19 - $65 an hour

Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

Your opportunities joining PlusAI

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.