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Remote Automation Control Jobs in Austin, TX (NOW HIRING)

CoorsTek

AI Deployment Engineer

Austin, TX · On-site +1

Job Title AI Deployment Engineer The AI Deployment Engineer will support the AI and automation ... Salary range is subject to location, as this role can be remote. Roles and Responsibilities

Self Financial, Inc.

Senior DevOps Engineer

Austin, TX

$130K - $160K/yr

... accessible tools to take control of their credit. Executing on our mission requires deep ... Pipeline-based SDLC automation such as GitLab, Jenkins Pipelines, AWS CodePipeline, or other ...

FHR

M-820 Security Architect - Consultant rec 13280

Austin, TX · Remote

$66.50 - $86/hr

Fully Remote must be able to work eastern time zone hours. Our direct client has an opening for an ... automation and response workflows using Python, PowerShell, Bash, REST APIs, JSON, YAML and vendor ...

Switch

Controls Engineer III

Austin, TX · On-site +1

$81K - $105K/yr

Program, install, and commission BMS control devices and supporting infrastructure. * Conduct ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

Mythic

EDA / CAD Engineer

Austin, TX · Remote

$150K - $260K/yr

Revision control experience and methodology recommendations (perforce/versIC) * Internal and ... Scripting & automation: Python, Perl, Tcl, Bash/Shell, SKILL; automating EDA flows, tool setup ...

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Showing results 41-60

All JobsAutomation Control JobsRemote Automation Control JobsRemote Automation Control Jobs in Austin, TX

Remote Automation Control information

See Austin, TX salary details

$45.6K

$97.3K

$139.3K

How much do remote automation control jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote automation control in Austin, TX is $97,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $109,500.00 per year, depending on experience, location, and employer.

What is a remote automation control?

Remote Automation Control jobs involve monitoring, managing, and optimizing automated systems or processes from a remote location. Professionals in these roles use specialized software and networked devices to control machinery, production lines, or building systems without being physically present on-site. These jobs are common in industries such as manufacturing, energy, and smart building management. Key responsibilities often include troubleshooting, system configuration, and ensuring smooth operation of automation technologies.

What are the key skills and qualifications needed to thrive as a remote automation control specialist?

To thrive as a Remote Automation Control specialist, you need expertise in control systems engineering, process automation, and a relevant degree in engineering or a related technical field. Familiarity with SCADA systems, PLC programming, industrial protocols, and certifications such as ISA or Siemens are typically required. Strong problem-solving skills, attention to detail, and effective remote communication set top performers apart. These competencies are crucial for ensuring safe, efficient, and reliable operation of automated systems from a distance.

What are some common challenges faced when working as a remote automation control professional, and how can they be addressed?

One common challenge in Remote Automation Control is troubleshooting issues without being physically present at the site, which requires strong diagnostic skills and clear communication with on-site personnel. Additionally, maintaining reliable and secure remote connections is essential due to the sensitive nature of control systems. Adapting to rapidly evolving technologies and staying current with industry standards are also important for long-term success. Building strong collaboration with cross-functional teams, such as IT and maintenance staff, can help address these challenges and ensure smooth operations.

What is the difference between Remote Automation Control vs Remote Automation Technician?

AspectRemote Automation ControlRemote Automation Technician
CredentialsTypically requires certifications in automation systems, PLC programming, or control systemsOften requires technical certifications or associate degrees in automation, electronics, or related fields
Work EnvironmentPrimarily remote, overseeing automation systems remotely, with some on-site visitsMostly on-site or field-based, with some remote troubleshooting
Industry UsageUsed across manufacturing, energy, and industrial sectors for system oversightCommonly found in industrial plants, factories, and maintenance settings

Remote Automation Control professionals focus on remotely managing and overseeing automation systems, often requiring specialized certifications and working in a mostly remote environment. In contrast, Remote Automation Technicians typically perform hands-on maintenance and troubleshooting, often on-site, with some remote support. Both roles are essential in industrial automation but differ mainly in their work setting and certification requirements.

What are popular job titles related to Remote Automation Control jobs in Austin, TX?

For Remote Automation Control jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Automation Control jobs in Austin, TX look for?

The top searched job categories for Remote Automation Control jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Automation Control jobs?

Cities near Austin, TX with the most Remote Automation Control job openings:

Remote Automation Control jobs near you
Infographic showing various Remote Automation Control job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $97,323 per year, or $46.8 per hour.

Technical Product Manager, Kubernetes Services - Remote (US)

Austin, TX • On-site, Remote

Mirantis
Software Development • 501 - 1,000 employees
Learn more about Mirantisexternal

$165K - $191K/yr

Full-time

Posted 8 days ago

Job description

Company Description
About Mirantis
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
Job Description
Mirantis is looking for a Technical Product Manager to own the Kubernetes-as-a-Service for k0rdent AI, our control plane for GPU infrastructure and distributed AI workloads. In this role, you will define the strategy, roadmap, and feature priorities that determine how Neocloud operators launch and run managed Kubernetes offerings on their own GPU infrastructure.
Managed Kubernetes sits at the intersection of cluster lifecycle automation and service provider operations, and the product must hold both worlds together. You will shape how k0rdent AI delivers validated cluster configurations and add-on compositions, hosted control planes at fleet scale, node pools bound to GPU machine types, tenant isolation, credential issuance, and upgrade cycles across hundreds of clusters. Operators assemble this today from bespoke automations and expertise that is difficult to source. Your job is to make it something a Neocloud configures rather than builds.
You will work directly with engineering to shape requirements, the rest of the Product Management team shaping k0rdent AI for providers, with marketing to sharpen positioning, and with field teams to convert technical depth into wins in competitive GPU cloud and NeoCloud deals.
Impact
  • Build the Kubernetes service layer for the AI cloud era, working directly with leading GPU cloud providers, NeoClouds, sovereign clouds, and AI-enabled telcos
  • Collaborate with a world-class, distributed team committed to openness and technical excellence
  • Shape the product narrative and influence go-to-market success

Responsibilities
  • Own the vision, roadmap, and priorities for k0rdent AI Kubernetes services, defining how providers deliver, differentiate, and operate managed Kubernetes for their own customers
  • Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction
  • Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable cluster lifecycle capabilities
  • Manage the Kubernetes backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning
  • Define positioning, packaging, and competitive differentiation for k0rdent AI Kubernetes services
  • Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the Kubernetes product lead
  • Represent Mirantis at events, analyst briefings, and customer advisory boards; engage silicon, networking, and ecosystem partners on reference architecture alignment

Qualifications
Strong technical fluency in Kubernetes operations and the AI stack:
  • 5+ years in product management, technical product management, or a senior technical role owning a Kubernetes product, managed Kubernetes service, or large-scale cluster fleet
  • Hands-on familiarity with Cluster API, Kubernetes distributions and their lifecycle (k0s, kubeadm, or equivalent), hosted or externally managed control planes, and add-on delivery through Helm and GitOps
  • Fluency in multi-tenancy and cluster hardening: RBAC, admission control, network policy, quotas, and certificate and kubeconfig lifecycle
  • Hands-on experience running Kubernetes on bare metal, including node provisioning, CNI selection, load balancing and ingress, rolling upgrades across control planes and node pools, and the NVIDIA GPU Operator and device plugins
  • Experience on the provider side of a service, at a cloud or hosting company or a platform organization that treated its users as paying customers
  • Experience configuring or deploying SLURM on Kubernetes (Slinky, Soperator, or equivalent)

Additional Information
We offer:
  • Operate some of the most advanced AI infrastructure environments in production today.
  • Work with the latest NVIDIA GPU technologies, Kubernetes platforms, and high-performance networking environments.
  • Help define operational standards and reliability practices for next-generation AI infrastructure services.
  • Influence the adoption of AI-powered operational capabilities through k0rdent AI.
  • Work alongside highly skilled engineers solving complex infrastructure and platform challenges at scale.
  • Join a growing organisation investing heavily in AI infrastructure, platform services, and operational innovation.

It is understood that Mirantis, Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to isamoylova@mirantis.com
By submitting your resume, you consent to the processing and storage of your personal data in accordance with applicable data protection laws, for the purposes of considering your application for current and future job opportunities.
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