13 rpg developer jobs found

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex,?real-world?threats to our nation and the world. The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working...

Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex,?real-world?threats to our nation and the world. The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working...

Senior Full Stack Engineer, AI Anywhere Type: Contract Category: Development Industry: Financial Services Workplace Type: Remote Reference ID: JN -032026-105784 Date Posted: 03/03/2026 Shortcut: http://careers.eliassen.com/48x0ax Description Recommended Jobs Description: Remote Our client seeks a senior full stack engineer to accelerate AI adoption across the organization. The role blends full stack development, AI engineering, and internal consulting to design secure, scalable solutions and guide teams on effective AI use. You will operate in a fast, project-based environment with Python and React while remaining language-agnostic, emphasizing architecture, security, and cloud-native design. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $65.00 to...

Job Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV Safety Engineering Analytics team is seeking and AI/ML Engineer with capabilities at the intersection of vehicle engineering, AI/ML and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations. If you're...

Job Description The Role GM's Cybersecurity Team safeguards the company's global information assets, networks, and infrastructure. Our mission is to proactively defend GM against evolving cyber threats through strategic leadership, technical excellence, and innovative risk management. We seek cybersecurity professionals with advanced expertise, capable of driving enterprise security initiatives and influencing organizational resilience. As a Senior Security Software Engineer, you will design, lead, and deliver secure, scalable integration services that connect our cyber ecosystem (SIEM, EDR, IAM, SSPM, CSPM, ITSM, cloud) and activate AI/LLM capabilities to accelerate detection, response, and risk management. You will drive architecture for critical services, mentor developers, and partner across SecOps, SOC, Platform, and Data teams to ship measurable outcomes. What You'll Do Own architecture & delivery for complex integration services (APIs,...

Job Description Work arrangement : Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times per week, at minimum. The AV Safety Engineering Analytics team is seeking and AI/ML Engineer with capabilities at the intersection of vehicle engineering, AI/ML and cloud processing. The AV Safety Engineering Analytics team is the resource supporting teams and stakeholders from around the company bring a broad range of data and analytics capabilities to bear in AV safety related decision making. This team will maintain proficiency integrating continuously flowing data from vehicle systems, company databases, third-party services, federal agencies and state DOTs to inform system design and quantify driving performance. The team focuses on continuous up-time proactive analyses as well as supporting specific investigations. If you're...

Job Description What You'll Bring: Your passion, technical acumen, market knowledge, and customer-centricity will help us become the number one cloud company in the world. We also look for: You have experience selling AI Infrastructure in a direct or supportive role to the C-suite, AI, Engineering, and Technical Staff Members. You have an entrepreneurial spirit and thrive in a dynamic environment. You have a deep understanding of Cloud-Based Solutions (IaaS), HPC and GPU Infrastructure, AI Architectures such as RAG, Agentic AI systems, and Knowledge Graphs. You have direct experience with ML Ops, Model Hosting, LLM orchestration, and open and closed models. You are confident in your knowledge of the enterprise AI market and can draw upon that knowledge to have in-depth conversations with prospects and clients. You are familiar with open source and other cloud tools (Dockers, Kubernetes, Terraform, Linux, Java) You are creative,...

Job Description The SaaS Observability organization oversees all enterprise software services supporting over 25,000 customers and processing more than 60 billion transactions daily. Within this group, the Observability team delivers strategic software solutions and large-scale production engineering services that ensure our cloud products operate with maximum reliability, performance, and resilience. SaaS Observability operates one of the largest telemetry infrastructures in the industry, handling petabytes of data, monitoring billions of objects, and maintaining modern telemetry pipelines across distributed environments. The team is actively advancing its Agentic AI infrastructure to enable intelligent, autonomous observability. We're seeking a visionary Principal Software Engineer - Agentic AI to lead the evolution of our observability platform into an intelligent, agentic AI-powered system. You'll architect scalable solutions that integrate telemetry, LLMs, and...

Job Description The SaaS Observability organization oversees all enterprise software services supporting over 25,000 customers and processing more than 60 billion transactions daily. Within this group, the Observability team delivers strategic software solutions and large-scale production engineering services that ensure our cloud products operate with maximum reliability, performance, and resilience. SaaS Observability operates one of the largest telemetry infrastructures in the industry, handling petabytes of data, monitoring billions of objects, and maintaining modern telemetry pipelines across distributed environments. The team is actively advancing its Agentic AI infrastructure to enable intelligent, autonomous observability. We're seeking a visionary Principal Software Engineer - Agentic AI to lead the evolution of our observability platform into an intelligent, agentic AI-powered system. You'll architect scalable solutions that integrate telemetry, LLMs, and...

Job Description The Senior AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows....

Job Description The Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML...

Job Description The Senior AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML workflows....

Job Description The Principal AI/ML Software Engineer is responsible for evaluating, integrating, and optimizing cutting-edge technologies for AI/ML infrastructure, focusing on achieving low latency, high throughput, and efficient resource utilization for both model training and inference at scale. This role guides key strategic decisions related to Oracle Cloud's AI infrastructure offerings, spearheads the design and implementation of scalable orchestration for AI/ML workloads-incorporating the latest research in generative AI and large language models-and leads initiatives such as Retrieval-Augmented Generation and model fine-tuning. The ideal candidate will design and develop scalable, GPU-accelerated AI services using tools like Kubernetes and Python/Go, and must possess strong programming skills, deep expertise in deep learning frameworks, containerization, distributed systems, and parallel computing, along with a comprehensive understanding of end-to-end AI/ML...