KEYWORDS Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Edge Computing.

We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.

Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas.

1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.

Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. In this role, you will be part of an engineering team designing, developing, and optimizing software to accelerate Quantum Computing frameworks.

Design and develop high availability and low latency production ready software using web, cloud and distributed technologies including Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, Microservices, and CI/CD cloud deployment.

As a senior AI/ML - NLP Engineer on our team, you will be responsible for designing, developing, and implementing AI/ML models for natural language processing (NLP) applications.

PhD in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Computer Vision, Large Language Models, and Generative AI.

At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) At least 6 years of experience in software engineering (Internship experience does not apply.

Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS, GCP), languages/technologies (e.g., Python, Spark, SQL, DBT), Orchestration (ADF, Airflow, Dagster) and tools (e.g., Power BI), with an ability to build IP into reusable software.

The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.

We are currently seeking a Cloud Infrastructure Engineer to join our team in New York City, New York (US-NY), United States (US). - Implementing access controls on Azure services across cloud platform i.e. IaaS, PaaS and SaaS Nice to have: - Third party cloud security platform like Palo Alto Prisma Cloud Security.

Preferred Qualifications- Previous experience or advanced coursework in data science, algorithmic engineering, or machine learning. - Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.

San Francisco and San Jose, California (Hybrid On-Site): $213,400 - $243,500 for Lead Software Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer.

As a Senior Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve may different products and services.