Software Developer 4

OPOWER·Accel (Getro)
Seattle, WAPosted Jun 30, 2026
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Skip to main content. sitemap Profile Sign Out View More Jobs Software Developer 4 Seattle, WA, United StatesSanta Clara, CA, United StatesNew York, NY, United StatesAustin, TX, United StatesNashville, TN, United StatesUnited States Hot Job Trending Job Identification 335475 Job Category Product Development Posting Date 06/29/2026, 07:46 PM Role Individual Contributor Job Type Regular Employee Does this position require a security clearance? No Years 6 to 10+ years Applicants are required to read, write, and speak the following languages English Job Description In this role you will lead the design and development team to build advanced AI applications powered by AI models. You will use AI/ML to automate, optimize, and secure networks, focusing on tasks like self-provisioning, auto-ingesting, auto-qualifying systems and self-healing networks, requiring skills in Python, ML frameworks, training AI models, and an understanding of networking protocols, data center designs, infrastructure as a service, network monitoring and network automation. Responsibilities As a Principal AI Networking Developer you will be responsible for building and optimizing large-scale AI systems, ensuring scalability, reliability, and performance. The candidate should be able to work collaboratively with cross-functional teams to drive the development and deployment of AI solutions. If you have a passion for building cutting-edge AI applications and are looking for a challenging role, we encourage you to apply. Strong problem-solving skills, attention to detail, and excellent communication skills are essential for this role.Design and implement scalable orchestration for serving and training AI/ML models.Explore and incorporate contemporary research on AI, agents, and inference systems into the software stack for designing, monitoring, troubleshooting and deploying networks.Evaluate, Integrate, and Optimize technologies across the stack, for latency, throughput, and resource utilization for training and inference workloads.Lead initiatives in AI systems design, including Retrieval-Augmented Generation (RAG) and LLM fine-tuning.Design and develop scalable services and tools to support GPU-accelerated AI pipelines, Python/Go, and observability frameworks. Required/Preferred experience:Strong Python and ML frameworks (PyTorch, TensorFlow)LLMs, embeddings, vector search, RAG pipelines, and fine-tuningData engineering: Spark, Kafka, Flink, OCI Streaming/Data FlowDistributed systems and large-scale training/inferenceHandling network telemetry (NetFlow, packet captures, streaming telemetry)Network automation frameworks (Terraform, Ansible, NAPALM, Batfish is aplus)Containerization, model serving, GPU workflows, CI/CD, and MLOps toolsWriting design docs, scoping features, and owning delivery end-to-end Required Education and Work Experience:BSEE, BSCS, BSCE, or equivalent. MSEE, MSCS, or MSCE is a plus. At least 7+ years of experience building software systems and prior experience building AI applications training models. Qualifications Disclaimer:Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $99,600 to $234,600 per annum. May be...

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