Top Python Jobs

The Senior DL Algorithms Engineer will optimize deep learning workloads, analyze model performance, and develop software across multiple stack layers to enhance NVIDIA's AI services.

Join KLA as an algorithm engineer to develop and integrate algorithms for reticle inspection platforms, focusing on image processing and AI techniques.

The Senior Hardware SoC Architect will define future SoC architectures, work across teams on chip-level infrastructure, and improve methodologies for team efficiency.

Mechatronics Engineer develops metrology equipment for the semiconductor industry, performing data analysis, hardware experiments, and system integration.

The Software Engineer role focuses on developing software for HPC solutions, machine control, and data management, requiring experience in C/C++ and Python.

The Senior Software Developer will enhance NVIDIA's cluster management software by developing installation processes, integrating hardware, and improving features for scalability.

The Product Development Engineer will optimize an HPC cluster for wafer inspection, manage design development efforts, and drive hardware/OS qualifications while collaborating with stakeholders and providing support for service teams.

The GPU Verification Architect will define verification plans, collaborate across teams, manage project timelines, and improve workflows using AI tools, ensuring GPU technology performance and reliability.

As an HPC Software Engineer, you'll design and implement software solutions using object-oriented programming, scripting, and Linux system programming, while working with distributed systems and data structures.

The role involves leading systems design for mask inspection platforms, coordinating across engineering functions, and developing complex systems in the semiconductor field.

The Manager of Software Engineering oversees the SQE team, developing test strategies, improving testing processes, and managing project execution to ensure high-quality software delivery.

Collaborate with clients and teams to optimize AI models on GPUs, build finance industry solutions, and enhance NVIDIA product features through customer engagement.

The Machine Learning Engineer will design and deploy ML models, particularly for natural language processing, while collaborating with teams to enhance operational efficiency.

Develop and optimize reinforcement learning frameworks for humanoid robots using large-scale GPUs, support policy learning, and transfer solutions from simulation to real-world applications.

The Systems Design Engineer will work on electron-beam imaging products, collaborating across disciplines to analyze, define, and integrate system requirements while traveling up to 25% for integration support.

Design complex semiconductor equipment as part of a multidisciplinary team. Involves data collection, analysis, calibration, and system integration with a focus on feedback control systems.

The Software Engineer (AI/ML) Intern will develop software systems for data management and machine learning model training, focusing on creative problem-solving and teamwork.