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Remote Edge Computing Jobs in Texas (NOW HIRING)

VP of Engineering

Austin, TX · Remote

$200K - $230K/yr

Location: Remote (United States) . RESPONSIBILITIES: * Own end-to-end architecture for an ... IoT/edge computing, streaming pipelines, sensor-driven systems, time-series data, and integrations ...

Technical Architect

Dallas, TX · Remote

$92.46K - $123.77K/yr

IoT and Edge Computing for real-time data collection and analysis. * Modern software development ... REMOTE ----- Annual salary range for this position is $92,456.00 - $123,765.49 The salary range ...

... AI, edge computing, and high-performance systems. Our team is growing, and we're looking for ... Remote role with regular regional travel (US or EMEA). * Ability to cover broader territories as ...

Proven experience with Cloudflare Workers and edge computing architectures. A background in ... Experience working in distributed or remote-first engineering organizations. * Experience hiring ...

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Principal Platform Architect

Plano, TX · On-site +1

$169K - $213.75K/yr

Expertise in advanced topics such as edge computing, AI/ML integration, and zero-trust security ... We foster a hybrid and remote friendly culture, and all our employee's work locations are based on ...

Senior Software Engineer - SAI/SDK

Austin, TX · On-site +1

$121.40K - $160.10K/yr

We're seeking engineers who are energized by working on cutting-edge ASIC design and distributed ... This is a remote position for employees residing within the United States. We offer a competitive ...

Sr Apps Engr

Austin, TX · On-site +1

$103.60K - $142.20K/yr

Provide on-site and remote technical support to internal and external teams, conducting root-cause ... Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22 ...

Sr Apps Engr

Austin, TX · On-site +1

$103.60K - $142.20K/yr

Provide on-site and remote technical support to internal and external teams, conducting root-cause ... Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22 ...

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Remote Edge Computing information

What is the difference between Remote Edge Computing vs Remote Cloud Engineer?

AspectRemote Edge ComputingRemote Cloud Engineer
Required CredentialsNetworking, IoT, hardware knowledge, certifications in edge computing or networkingCloud platforms, scripting, certifications like AWS, Azure, GCP
Work EnvironmentDistributed hardware, local data processing sites, on-site or remote hardware managementData centers, cloud platforms, virtual environments
Employer & Industry UsageTech companies, IoT providers, manufacturing, retailTech firms, SaaS providers, enterprise IT, startups

Remote Edge Computing focuses on deploying and managing computing resources at the data source or network edge, often involving hardware and IoT devices. In contrast, Remote Cloud Engineers work primarily with cloud platforms to develop, deploy, and maintain cloud-based applications and infrastructure. Both roles require technical certifications and involve remote work, but they differ in their focus on hardware versus cloud services.

What are the most commonly searched types of Edge Computing jobs in Texas? The most popular types of Edge Computing jobs in Texas are:
What are popular job titles related to Remote Edge Computing jobs in Texas? For Remote Edge Computing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Edge Computing jobs in Texas look for? The top searched job categories for Remote Edge Computing jobs in Texas are:
What cities in Texas are hiring for Remote Edge Computing jobs? Cities in Texas with the most Remote Edge Computing job openings:
VP of Engineering

VP of Engineering

Octagon Talent

Austin, TX • Remote

$200K - $230K/yr

Full-time

Posted 10 days ago


Job description

Octagon Talent Solutions is a full-service technology recruitment and staffing company based in South Florida. We humanize technical recruitment by identifying candidates' long-term career goals and assessing cultural fit when presenting opportunities. Our focus on long-term relationships helps ensure placements that last.


Job Overview: We’re hiring a hands-on VP of Engineering (CTO-equivalent) to lead architecture and execution for an industrial AI platform that connects edge sensors and factory systems to cloud intelligence. This is a builder role for a technical leader who stays close to the code, thrives in early-stage environments, and can translate real-world industrial problems into scalable products. Location: Remote (United States).


RESPONSIBILITIES:


  • Own end-to-end architecture for an Industrial OS spanning edge connectivity (RTSP cameras, vibration/thermal/time-series sensors, PLC signals via OPC-UA/Modbus), multimodal ingestion/normalization, and cloud orchestration.
  • Lead technical strategy and design decisions for a secure, reliable, scalable platform supporting real-time video + sensor + PLC fusion and high-uptime production environments.
  • Remain hands-on in the codebase: implement and refactor critical components, review PRs, debug production issues, and run design reviews (Python/TypeScript).
  • Build, mentor, and lead a high-performing engineering team in a flat, accountable org—setting the quality bar and raising execution speed.
  • Drive the shared intelligence layer to capture reusable templates and patterns from deployments (with privacy-safe anonymization), accelerating future onboardings.
  • Partner with product and founders on roadmap and delivery—shipping from prototypes to production agents (vision quality, predictive maintenance/anomaly, and operations planning).
  • Represent the technical vision externally with customers and investors via demos, architecture narratives, and product credibility.


REQUIREMENTS:


  • 8+ years in senior engineering leadership (VP/Head of Engineering/CTO), with clear examples of owning architecture decisions for complex distributed systems.
  • Demonstrated hands-on technical depth—recent coding, system design, and technical decision-making (not strategy-only leadership).
  • Proven experience building products 0-to-1 in a startup or VC-backed environment (founder or early engineering leadership experience a plus).
  • Heavy industry exposure (manufacturing, energy, utilities, oil & gas, defense) and/or industrial platform experience serving these environments.
  • Experience with industrial/physical systems and data platforms: IoT/edge computing, streaming pipelines, sensor-driven systems, time-series data, and integrations with enterprise systems (ERP/CMMS/WMS/historians).
  • Strong product intuition and ability to guide product direction alongside engineering.
  • Ability to communicate clearly with technical and non-technical stakeholders; confident leading demos and discussions.


NICE TO HAVE:


  • Digital twin / simulation / high-fidelity data or industrial AI platform experience.
  • Familiarity with ontology/asset modeling, multimodal ML pipelines, and production ML inference integration.
  • Defense tech or other high-stakes, complex systems background.


NOT A FIT IF:


  • Experience is primarily consumer tech or financial services without industrial systems exposure.
  • Leadership profile is primarily managerial/consultative without recent hands-on technical ownership.