Edge AI SDK Lead
Velaura
Edge AI SDK Lead
Velaura
Designs energy-efficient AI silicon and systems
Salary Range: 200000 to 300000 (Currency: USD) (Pay period: per-year-salary)
We are looking for an Edge AI SDK Lead to own the customer-facing software experience for Velaura’s AI SoC.
This role will define and lead development of public APIs, SDK structure, command-line tools, sample applications, documentation, developer workflows, model and camera examples, developer portal content, compatibility matrices, and the path from “unboxing the eval kit” to running real robotics and AI workloads. This is an on-device role: the SDK runs on our silicon, not in the cloud.
Own SDK architecture, public APIs, command-line tools, sample applications, documentation strategy, and developer workflows.
Set the API standards, versioning, error handling, logging, packaging, compatibility, and deprecation policies across platform, AI runtime, camera, and robotics components.
Lead the developer experience for installing the SDK, flashing boards, running demos, deploying models, using cameras, and integrating with applications.
Work with AI, multimedia, robotics, and model-zoo teams to deliver model examples, camera-to-NPU pipelines, ROS examples, containers, and reference applications.
Own developer documentation structure, getting-started guides, tutorials, API references, troubleshooting guides, migration guides, and known-issues workflows.
Partner with Tools/Release on downloads, package repos, release notes, compatibility matrices, SDK artifacts, archived releases, checksums, and versioned documentation.
Help define developer portal requirements including docs, downloads, model/app catalog, camera compatibility, KB integration, entitlement/access control, and support-bundle workflows.
Ensure SDK quality by partnering with SQA on examples, docs validation, install tests, compatibility tests, and release readiness.
Represent the customer developer perspective in architecture and prioritization discussions.
Hire, mentor, and lead engineers focused on SDK APIs, developer tools, documentation systems, developer portal integration, and sample applications.
Strong experience building and shipping SDKs, APIs, or developer tools for embedded or edge hardware (e.g., SoCs, AI accelerators, dev kits, camera or robotics platforms) - software that customers install and run on the device itself. Experience limited to cloud, web, or backend SDKs/APIs does not meet this requirement.
Strong C/C++ for embedded targets and Python experience, with ability to design clean APIs and production-quality examples.
Hands-on experience developing for embedded Linux targets, such as cross-compilation and toolchains, BSPs, board bring-up and flashing, device drivers, or on-device packaging and deployment.
Strong sense of developer experience, documentation quality, API usability, and release discipline.
Ability to work across kernel, runtime, compiler, multimedia, robotics, tools, SQA, and product teams.
Experience translating complex low-level capabilities into usable customer-facing software.
Experience leading technical teams or major SDK/API architecture areas.
Experience with AI accelerator SDKs, robotics SDKs, Jetson-like platforms, edge AI products, or semiconductor developer kits.
Familiarity with ONNX/PyTorch/TFLite model flows, ROS 2, GStreamer, OpenCV, containers, Linux packaging, or Python packaging.
Experience building developer portals, documentation sites, SDK installers, CLI tools, sample catalogs, knowledge bases, or model zoos.
Experience with API governance, semantic versioning, compatibility matrices, customer migration guides, and release notes.
Experience working with early customers, field teams, support teams, or developer relations.
Ability to write excellent technical documentation and set a high bar for customer-facing materials.
Velaura is building next-generation compute technology for cloud, edge, and Physical AI. Our solutions will enable robots, autonomous systems, drones, and other intelligent machines to operate efficiently in the physical world.
This is an opportunity to help build foundational technology at a time when the industry is undergoing fundamental change. You will work alongside experienced leaders, architects, engineers, and operators who have delivered industry-defining products across mobile, cloud, semiconductor, and AI platforms. If you enjoy solving difficult problems, working across disciplines, and helping shape the future of Physical AI, we would love to hear from you.
Velaura is an Equal Opportunity Employer that is committed to inclusion and diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, disability or protected veteran status. We also take affirmative action to offer employment
opportunities to minorities, women, individuals with disabilities, and protected veterans.
Velaura is committed to working with qualified individuals with physical or mental disabilities. Applicants who would like to contact us regarding the accessibility of our website or who need special assistance or a reasonable accommodation for any part of the application or hiring process may contact us at: [email protected]. This contact
information is for accommodation requests only. Evaluation of requests for reasonable accommodation will be determined on a case-by-case basis.
Velaura AI designs and manufactures ultra-energy-efficient AI infrastructure, including 3nm ASIC chips, Teraflux mining systems, FluxVision fleet-management software, and AuraLinks rack-level networking. Customers deploy the hardware in data centers, while FluxVision monitors and manages fleets; EnergyTune and AutoTune dynamically adjust power to meet grid stability, and AuraLinks reduces bottlenecks in AI training and inference. The company differentiates itself with a team of silicon architects from Apple, Google, and Qualcomm, plus a patent-pending energy-management approach and a fully integrated hardware-software stack. Its goal is to enable massive AI deployment by delivering powerful, energy-efficient compute and networking that aligns with sustainable energy grids and domestically produced technology.
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