ADCI
Technology
SeniorEngineerEdgeAIInfrastructure&Tooling,DeviceOS
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optimal for Senior candidates.
“Senior Engineer Edge AI Infrastructure & Tooling, Device OS at ADCI. Skills: Edge AI, Infrastructure, Tooling, Device OS. Conceive features for Amazon devices. Design features for Amazon devices”
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
5+ years software development experience, Embedded development in C/C++, 5+ years leading design or architecture, Experience in deep learning models architecture design, Experience in deep learning training and optimization, Experience in model pruning, 5+ years in ML tooling, 5+ years in dev/prod infrastructure, Experience with edge hardware platforms, Experience with edge AI inference frameworks, Proficiency with model optimization techniques, Experience with model formats, Experience with conversion pipelines, Experience deploying and tuning LLMs, Coding skills with custom optimized kernels
Nice to Have
5+ years full software development life cycle, Experience deploying LLMs on resource-constrained devices, Experience with MLOps practices, Experience with automated model testing, Experience with model production, Experience operationalizing LLMS at scale, Familiarity with heterogeneous computing, Familiarity with workload scheduling, Experience with real-time systems, Experience with latency-critical applications, Experience with deterministic inference, Background in SDK development, Background in developer tooling, Background in creating developer experiences, Virtual platform development, Cloud deployment, Cross-functional leadership, Ability to influence product roadmaps, Ability to influence technical strategy
What You'll Do.
Conceive features for Amazon devices
Design features for Amazon devices
Deliver features for Amazon devices
Architect software solutions
Develop software solutions
Investigate edge computing solutions
Prototype edge computing solutions
Develop backend integrations
Build developer tools
Build model converters
Build benchmarking suites
Optimize model deployment workflows
Create automated testing frameworks
Collaborate with ML researchers
Work in Agile/Scrum environment
Deliver high quality software
Establish architectural principles
How You'll Work.
Team & Collaboration
Agile/Scrum environment; ML researchers; Team members
Process & Methodology
Agile, Scrum
Full Job Description
Are you passionate about bringing state of the art AI technology to edge devices? Join Amazon's Device OS organization, where we're revolutionizing how AI powers everyday devices. We're seeking exceptional Senior Software Development Engineers who can help us push the boundaries of edge computing and artificial intelligence. This is your chance to shape the future of AI-enabled devices that impact millions of customers worldwide. Key job responsibilities As a Sr. Software Development Engineer, you will conceive, design and deliver innovative features for Amazon devices. You will be responsible for architecting and developing software solutions for new and innovative products. • Investigate and prototype edge computing solutions with AI integration capabilities • Develop backend integrations for various SoC vendors and AI accelerators • Build developer tools including profilers, debuggers, model converters, and bench marking suites • Optimize model deployment workflows and performance for resource-constrained environments • Create SDKs, APIs, and documentation to enable seamless developer experiences • Create automated testing frameworks for model accuracy and performance validation • Collaborate with ML researchers to bridge the gap between research and production • Work in an Agile/Scrum environment to deliver high quality software • Establish architectural principles and mentor team members About the team The Device OS Team builds Edge AI/ML frameworks enabling partners to launch applications, services, and devices customers love. We develop unified inference platforms that connect advanced AI models with diverse hardware ecosystems across multiple SoC platforms. Our infrastructure and tooling empower developers to deploy, optimize, and monitor high-performance AI models on edge devices. Basic Qualifications: - 5+ years of non-internship professional software development experience - Experience in embedded development in C/C++ - 5+ years of leading design or archi
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