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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.

You�ll build, iterate, and deploy AI-driven systems that help real businesses run smarter and faster. Design, develop, and deploy autonomous AI agents for complex supply chain workflows.

AI Developer Job Responsibilities Include Design and develop AI solutions using Python, C#, and Azure AI Services, with a focus on performance optimization and scalability. Hands-on experience with Python, C#, and Azure AI Services, including orchestration of LLMs and Semantic Kernel.

Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI. 6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.

5+ years of experience in software engineering or data/ML engineering. Experience building API microservices.

Qualifications Required/minimum qualifications Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Additional Or Preferred Qualifications Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Explore deep code integration into various Red Hat products, ensuring optimal integration between the Red Hat portfolio, hardware accelerators and partners. Advanced experience with a container orchestration ecosystem like Kubernetes, or Red Hat OpenShift.

Annual salary is one component of Red Hat�s compensation package. About Red Hat Red Hat is the world�s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies.