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Title: AI Support Engineering Manager Location: FULLY remote! 2+ years managing technical support teams Experience with GPU, AI, HPC, Cloud or highly technical SaaS.
Role : Software Engineer- II Location : Dallas TX ( Hybrid role) About The Role We are seeking an experienced Software Engineer to play a pivotal role in the development and implementation of Generative AI solutions at Blue Yonder. Min of 2 to 3+ years of experience in software engineering, with a focus on Python development building APIs ( MUST) Strong understanding of Generative AI concepts and techniques, with practical experience in developing and implementing Generative AI models and algorithms.
You will work with software architects and control system engineers as you develop software in response to the software and controls requirement and design documents. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities.
In-depth knowledge of data architecture, including database design, data modeling, analytics, metadata management, and data-access controls. Why Oracle Health?
Job Description OCI (Oracle Cloud Infrastructure) AI Infrastructure is at the forefront of building a cutting-edge, ultra-high-performance GPU platform designed to support AI/ML/HPC workloads. Design, develop, troubleshoot, and debug software programs for various cloud infrastructure components, including databases, applications, tools, and networks.
As a Senior AI Software Engineer, you will contribute to building highly responsive AI interfaces, integrating intelligent systems with frontend applications, and maintaining robust TypeScript architectures that ensure seamless communication between UI and AI components. Develop client-side logic for AI-driven tool calling, elegantly visualizing AI processes such as "thinking" or "searching" to enhance transparency and user confidence.
for the legal profession by delivering transformational and globally-trusted solutions to law firms and corporate legal teams worldwide. Actual compensation is determined by factors including education, work experience, certifications, and other relevant qualifications.
The Person Strong technical and analytical skills in C++/Python AI development, solving performance and investigating scalability on multi-GPU, multi-node clusters. Key Responsibilities Enable, benchmark AI models on distributed systems Work in a distributed computing setting to optimize for both scale-up (multi-GPU) / scale-out (multi-node) / scale-across systems Collaborate and interact with internal GPU library teams to analyze and optimize distributed workloads for high throughput/low latency Expertise on parallelization strategies for AI workloads - and application for best performance for each configuration Contribute to distributed model management, model zoos, monitoring, benchmarking and documentation Preferred Experience Knowledge of GPU computing (HIP, CUDA, OpenCL) AI framework engineering experience (vLLM, SGLang, Llama.cpp) Understanding of KV cache transfer mechanisms, options (Mooncake, NIXL/RIXL) and Expert Parallelization (DeepEP/MORI/PPLX-Garden) Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
Overview Microsoft Azure AI Inference platform is the next generation cloud business positioned to address the growing AI market. Embody Microsoft's Culture and Values.
citizen or national, U.S. Export Control Regulations Applicants for employment at Blue Origin must be a U.S.
All 2026 Adobe interns will be co-located hybrid. The U.S.
You Have: 4+ years of experience building production-grade applications using languages, including Python, Rust, Go, Scala, or Java 2+ years of experience building or maintaining production-grade RESTful APIs or software interfaces 1+ years of experience designing, configuring, and implementing software systems in production environments Experience with CI/CD tools, including GitLab CI or Jenkins, and source control systems, including Git Experience with Linux systems, networking, and containerization, including Docker or Podman Knowledge of federal cybersecurity best practices and standards, secure coding, and compliance requirements Ability to obtain a Secret clearance Bachelor�s degree in a CS or Engineering field and 4+ years of experience with software engineering, or 9+ years of experience with software engineering in lieu of a degree Nice If You Have: Experience with AWS services and emulation environments, including LocalStack Experience with secure on-prem deployments leveraging hypervisors, including ESXi Experience with Ansible for configuration management and infrastructure automation Experience working with Agentic AI solutions Experience integrating with SIEMs, firewalls, or endpoint protection systems Knowledge of orchestration tools such as Kubernetes, including on-prem or air-gapped TS/SCI clearance Security+, Linux+, or DevOps related Certification Clearance: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
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