About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Automation Machinery Manufacturing.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is building the software ecosystem that connects industrial controllers, developer tooling, and cloud services. You will help deliver reliable, production-grade systems across device, desktop, and cloud.

• Build the developer experience: editor integrations, simulation, deployment flows, and AI-assisted workflows that speed controls development.
• Own infrastructure and release engineering: CI/CD (with hardware-in-the-loop), OTA update pipelines, rollout and rollback processes, and fleet management for devices in the field.
• Ship the full data path: local data viewers, ingestion, storage, query, and visualization for high-rate industrial time-series.
• Work across the stack: web servers that run on controllers, desktop tooling, and cloud services — choosing pragmatic, reliable technologies.
• Design and maintain stable, versioned APIs and documentation that survive real-world usage.
• Deliver features end-to-end: take vague requests to shipped, monitored products and iterate in production. Use AI tools daily to accelerate work while owning quality.

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What You’ll Bring

• Strong CS fundamentals: data structures, concurrency, networking, and systems-level reasoning.
• Proven experience shipping and operating production software that real users depend on; you can describe incidents and fixes.
• Fluency in TypeScript and React (or similar) plus proficiency in at least one systems language (Rust, Go, C++, or advanced Python).
• Test- and instrumentation-first mindset; “works on my machine” is not acceptable.
• Product sense: you simplify workflows proactively and care about end-user experience.
• Comfort in small teams without a PM layer: you’ll talk to customers, own outcomes, and use AI thoughtfully (knowing when it helps and when it harms).

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Nice to Have

• Experience with time-series data systems, industrial protocols, or other high-rate telemetry.
• Background building developer tools, IDEs, language tooling, or simulation environments.
• Familiarity with embedded Linux and debugging code where it runs.
• LLM-powered features shipped to production.

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Compensation

• $140,000–$210,000 base, plus meaningful early equity. The range reflects differing levels of production experience and impact.

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Benefits

• Significant stock option packages
• 100% employer-paid Medical, Dental, and Vision insurance (multiple plan options)
• Paid vacation, sick leave, and company holidays
• Free daily catered lunch and dinner

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Work Location & Schedule

• Location: Gardena, CA — on-site, five days a week.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.