This individual's day-to-day work centers around designing, reviewing, and refining detailed markdown-based specifications that define how the edge device software should behave in a largescale data center environment. They will break those specifications into tasks, architecture components, andtest plans, then use AI-assisted tools to generate initial code, ensuring they fully understand, validate, and correct the AI's output before submitting final implementations. A significant part of the role involves working with highrate telemetry data pipelines-supporting thousands of devices sending frequent data-and ensuring reliable, lowlatency processing for both monitoring and 60 Hz control-level interactions with physical equipment. They will collaborate closely with other engineers across Santa Clara and remote teams to align frameworks, caching strategies, system behaviors, and integration points. Daily responsibilities include conducting thorough code reviews, troubleshooting complex issues on edge hardware, and ensuring everything built conforms to established humanintheloop safety workflows. Additionally, they will help refine architectural decisions as remaining system components are defined, contribute to sprint planning, and support rapid development toward upcoming demos.
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Required Skills & Experience
7+ years of professional software engineering experience (no juniors).
Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, or equivalent.
Deep handson edge device development experience
Strong experience with industrial IoT systems and Microsoft Azure IoT services (device-side focus).
Demonstrated ability to design and optimize realtime telemetry pipelines capable of ingesting and processing highvolume, highfrequency data with low latency and high throughput.
Strong experience building software for industrial IoT, embedded systems, and device-focused architectures.
Strong debugging and performance tuning capabilities in distributed or device-level systems.
Spec-Driven & AI- Assisted Development:
Ability to write, review, and refine spec-driven documentation (markdown).
Ability to translate specifications into architecture frameworks, components, tasks, and test plans.
Comfortable using AI-assisted code generation and performing thorough reviews and corrections to AI-generated code.
Ability to validate, understand, and ensure quality of AI-produced outputs.
Strong capability conducting detailed code reviews for quality and architectural alignment.
Nice to Have Skills & Experience
Prior experience in IoT, embedded systems, or edge computing companies or in industries with highrate telemetry (oil & gas, grid services, large cloud telemetry systems).
Familiarity with large-scale device deployments (10,000+ devices) - ideal but not expected.
Deeper-level expertise in industrial protocols.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
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