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Remote Foundry Engineer Jobs in Austin, TX (NOW HIRING)

Wsgr

Principal Cloud Infrastructure Engineer

Austin, TX · On-site +1

$147K - $198K/yr

This role can be hybrid or virtual/remote. Essential Duties and Responsibilities: * Act as the ... Experience with Power Platform, Azure DevOps, Foundry, Copilot, Graph API, Logic Apps, Function ...

All JobsFoundry Engineer JobsRemote Foundry Engineer JobsRemote Foundry Engineer Jobs in Austin, TX

Remote Foundry Engineer information

See Austin, TX salary details

$59.5K

$79.7K

$110.5K

How much do remote foundry engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote foundry engineer in Austin, TX is $79,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $84,300.00 per year, depending on experience, location, and employer.

What is a remote foundry engineer?

A Remote Foundry Engineer is a professional who specializes in designing, operating, and improving foundry processes—such as metal casting and molding—while working remotely. They leverage digital tools to oversee production workflows, troubleshoot issues, and collaborate with on-site teams from a distance. Remote Foundry Engineers often use simulation software, data analysis, and virtual meetings to ensure quality and efficiency across foundry operations. This role requires strong technical expertise in metallurgy, manufacturing processes, and remote communication technologies.

What are the key skills and qualifications needed to thrive as a remote foundry engineer?

To excel as a Remote Foundry Engineer, you need a solid background in mechanical or materials engineering, strong knowledge of metal casting processes, and typically a relevant engineering degree. Familiarity with CAD software, simulation tools like MAGMASOFT, and ERP systems is commonly required, along with experience in remote collaboration platforms. Excellent problem-solving, communication, and self-management skills set outstanding candidates apart in virtual and distributed environments. These capabilities are critical to ensuring high-quality production, efficient workflow, and effective teamwork while working remotely in a manufacturing context.

What are some common challenges faced by remote foundry engineers when working with distributed teams?

Remote Foundry Engineers often collaborate with global teams to design, optimize, and maintain foundry operations using virtual tools and communication platforms. A common challenge is ensuring clear communication across different time zones and cultures, which requires proactive updates and detailed documentation. Additionally, troubleshooting equipment or process issues remotely can be more complex without physical presence, so strong problem-solving skills and familiarity with digital monitoring systems are essential. Building strong relationships with on-site staff and other engineers helps to bridge gaps and ensure smooth project execution.

What is the difference between Remote Foundry Engineer vs Remote Metal Casting Technician?

AspectRemote Foundry EngineerRemote Metal Casting Technician
CredentialsBachelor's in Mechanical, Materials, or Metallurgical EngineeringTechnical diploma or certification in metal casting or related field
Work EnvironmentDesign, development, and process optimization remotely; occasional site visitsHands-on casting work, often on-site, with remote support
Industry UsageUsed in manufacturing, aerospace, and automotive industries for process innovationPrimarily in foundries and metal manufacturing facilities
Search & ComparisonOften compared for engineering roles focusing on design and processCompared for technical, hands-on casting roles

The Remote Foundry Engineer typically focuses on designing and optimizing casting processes remotely, requiring engineering credentials. In contrast, the Remote Metal Casting Technician performs hands-on casting work, often on-site, with some remote support. Both roles are essential in manufacturing but differ mainly in their work environment and technical focus.

What are popular job titles related to Remote Foundry Engineer jobs in Austin, TX?

For Remote Foundry Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Foundry Engineer jobs in Austin, TX look for?

The top searched job categories for Remote Foundry Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Remote Foundry Engineer jobs?

Cities near Austin, TX with the most Remote Foundry Engineer job openings:

Remote Foundry Engineer jobs near you
Infographic showing various Remote Foundry Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $79,709 per year, or $38.3 per hour.

Forward Deployed Engineer, AI & Analytics

Virtasant

Austin, TX • On-site, Remote

Full-time

Posted 18 days ago

Job description

About Virtasant
Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control.
Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale.
About the role
A leading US healthcare workforce company has built an analytics and predictive proof of concept on Palantir Foundry. Client reaction has been strong, and the platform is now moving to a full production build that will be taken to market. We are standing up a pod of five to six engineers to deliver it, working alongside the client's product and business teams and training their internal engineers as we build. This is forward deployed work in the original sense: you embed with the client, you own an outcome, and you ship. Beyond the first build, the client plans to place small AI pods inside its business units, each pairing an FDE with an AI engineer and a software engineer, and each accountable for a measurable business result. Do the first engagement well and there is a long runway.
What You'll Do
What you will do Take a Palantir Foundry proof of concept to production: data pipelines, ontology, application layer, governance, observability. Sit with business and product teams, run discovery, and turn policies and operating procedures into working code and agent logic. Define an adoption or delivery metric with the client's business leader, own it, and report against it. Train client engineers as you build, so capability stays with the client rather than with the vendor. Shape the roadmap from proof of concept to a production-grade product the client can sell.
What We're Looking For
FDE-grade is a specific bar. We gate on four signals:
1. Platform depth. Production work on Palantir Foundry or a comparable data and AI platform. Certifications alone do not qualify; we reference-check against shipped systems.
2. Customer-facing comfort. You can run a discovery session, lead a workshop, train a team, and defend a recommendation in front of a CTO.
3. Generalist build instinct. You write the glue code, the integration, the pipeline, and the dashboard. You do not wait for tickets.
4. Outcome ownership. You have shipped end to end and are comfortable being measured on adoption, time to production, or a business KPI. The fourth signal has a corollary the client cares about deeply: business context.
A great FDE comes up to speed on the business layer fast, because an engineer who only listens and codes will faithfully rebuild the inefficient process that already exists. We look for people who ask why the process works the way it does before writing a line of it.
Must-Have Experience
*
*
-6+ years in software, data, or ML engineering, with senior-level ownership of production systems.
-Hands-on Palantir Foundry experience (Pipeline Builder, Ontology, Workshop; AIP a strong plus), or deep experience on a comparable platform such as Databricks or Snowflake with evidence of fast platform ramp.
-Production Python and SQL. TypeScript or Java a plus.
-Experience building with LLMs and agents: retrieval, tool use, evaluation, and getting them past the demo stage.
-Consulting, solutions engineering, or client-embedded delivery experience. Clear written and spoken English, comfortable presenting to executives
Nice-to-haves
  • Healthcare, staffing and workforce, or other regulated-industry domain experience.
  • Forward Deployed Engineer, AI & Analytics 3 of 4 A track record of capability transfer: training, pairing, playbooks delivered as part of an engagement.
  • A prior FDE, solutions architect, or solutions engineer role at a platform vendor or AI-native company.
Our recruitment process
  • Recruiter interview (30 min)
  • Technical Interview (30 min)
  • Client Interview 1 (60 min)

We strive to move efficiently from step to step to make the recruitment process as fast as possible.
What we offer
Contract engagement through the Gigster network, full-time dedication expected.
Initial term aligned to the production build, with extension likely as the pod model expands across business units.
Compensation is competitive and set by experience and location
For this role, we can only consider candidates located in contiguous US states.
Also, we are only able to consider candidates who are either US citizens, or Green Card Holders, or sole proprietors of their own LLC company.
We are NOT able to consider candidates on any kind of visa that requires sponsorship, like STEM OPT, H4 EAD, F-1 OPT, L-2S, CPT, etc.
Our team Gigster Locations USA, Latin America Remote status Fully Remote

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