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Remote Chief Engineer Jobs in Texas (NOW HIRING)

Octagon Talent

VP of Engineering

Austin, TX · Remote

$200K - $230K/yr

Job Overview: We're hiring a hands-on VP of Engineering (CTO-equivalent) to lead architecture and ... Location: Remote (United States) . RESPONSIBILITIES: * Own end-to-end architecture for an ...

Algolia

Solutions Engineer

Austin, TX · Remote

$149K - $193K/yr

They are comfortable showing an engaging communications experience to a CTO or developing a ... Knowledge in Analytics, SEO #LI-Remote Algolia does not discriminate on the basis of race, color ...

Secur-Serv

Security Automation Engineer

Fort Worth, TX · On-site +1

This is a remote, work-from-home position, and all qualified candidates are encouraged to apply in ... CIO/CISO audiences * Lead a team * Other tasks and duties as needed to support the customer and/or ...

Danaher

Inside Sales Representative (REMOTE)

Dallas, TX · On-site +1

$33.65 - $43.27/hr

... developers. This position reports to the Manager, Inside Sales and is part of the North American ... CDMO, CMO or CRO services * Cell and Gene Therapy or Vaccines * Drug Development * Using Customer ...

Danaher

Inside Sales Representative (REMOTE)

Dallas, TX · On-site +1

$33.65 - $43.27/hr

... developers. This position reports to the Manager, Inside Sales and is part of the North American ... CDMO, CMO or CRO services * Cell and Gene Therapy or Vaccines * Drug Development * Using Customer ...

ForeFlight

Sr. Solutions Engineer Brazil

Austin, TX · On-site +1

$54.75 - $70.50/hr

This role will be remote from São PauloBrazil, must have right to work in Brazil. In this role ... Demonstrated experience and comfort level engaging with key customer stakeholders from the CIO to ...

Five9

Director, IT Infrastructure

Irving, TX · On-site +1

This role reports to our CIO Key Responsibilities * Strategy & Leadership • Own and execute the ... Trusted partner to Security, Engineering, HR, Finance, and business leaders. * Customer-obsessed ...

THOMSON REUTERS

Lead AI Forward Engineer

Frisco, TX · Remote

$95K - $126K/yr

Identify high-impact opportunities to apply AI automation and intelligent agents across CIO ... Mentor engineers and share patterns, practices, and lessons learned to raise overall AI solution ...

Crystalia Glass

Supply Engineering Team Lead

Dallas, TX · On-site +1

... the Chief Technical Officer. Requirements * 3+ years of experience as a Procurement Engineer ... Remote or On-site * Monday-Friday. * Working hours: 8:30 AM - 5:00 PM. Benefits * Competitive ...

Delan Associates, Inc.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills * Artificial Intelligence (AI) & Machine Learning (ML) * Deep Learning * Generative AI (GenAI) * Large Language Models (LLMs) * Prompt ...

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Delan Associates, Inc

AI Lead Engineer

Dallas, TX · Remote

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

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Remote Chief Engineer information

How does a remote chief engineer effectively manage and support distributed engineering teams?

As a Remote Chief Engineer, you will leverage digital collaboration tools and cloud-based project management platforms to coordinate team efforts across different time zones. Regular virtual meetings, clear documentation, and setting transparent expectations are essential for maintaining alignment and ensuring progress. Successful remote leaders also prioritize open communication and foster a culture of trust, empowering engineers to make autonomous decisions while providing guidance and support as needed. This approach helps maintain productivity and morale, even when team members are working from various locations.

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

To thrive as a Remote Chief Engineer, you need extensive engineering expertise, leadership experience, and typically a bachelor's or master's degree in engineering or a related field. Familiarity with project management software, remote collaboration tools, and industry-specific technical systems is essential. Strong problem-solving, communication, and decision-making skills distinguish top performers in this role. These abilities are crucial for effectively leading engineering teams, ensuring project success, and maintaining high standards while working remotely.

What is a remote chief engineer?

A Remote Chief Engineer is a senior professional responsible for overseeing engineering operations, projects, and teams while working remotely. They coordinate the design, development, and implementation of technical solutions, ensuring that engineering standards and objectives are met. This role often involves managing remote teams, facilitating communication across time zones, and leveraging digital collaboration tools to maintain productivity. Remote Chief Engineers are expected to have strong leadership skills and a deep understanding of their technical field. Their work is crucial for organizations that operate in distributed or fully remote environments.

What is the difference between Remote Chief Engineer vs Remote Mechanical Engineer?

AspectRemote Chief EngineerRemote Mechanical Engineer
Required CredentialsBachelor's or Master's in Engineering, Professional Engineer (PE) license often preferredBachelor's degree in Mechanical Engineering or related field, PE license optional
Work EnvironmentOversees engineering projects, manages teams, collaborates with cross-functional departments remotelyDesigns, analyzes, and tests mechanical systems remotely, often working on specific projects
Employer & Industry UsageUsed in engineering firms, manufacturing, and construction industries for leadership rolesCommon in product design, HVAC, automotive, and manufacturing sectors

The Remote Chief Engineer typically holds a leadership role overseeing engineering projects and teams, requiring advanced credentials and experience. In contrast, the Remote Mechanical Engineer focuses on designing and analyzing mechanical systems, often with less managerial responsibility. Both roles are prevalent in engineering and manufacturing industries, but the Chief Engineer is more strategic and supervisory, while the Mechanical Engineer is more technical and project-focused.

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

Etherialize - Applied AI Engineer

De Circle

Austin, TX • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

We all know that software engineering is getting turned on its head.
It's easy to pop open Claude Code and ask for help with small or repetitive tasks. But as the potential of these tools expand, questions emerge:
  • How do we build the infrastructure and workflows to make the most of new advancements?
  • How do we share context across the team to make these tools even more capable?
  • And, most importantly, how do we keep code quality to the standard needed to support institutional finance, while staying close to the cutting edge?

This is where you come in.
We're looking for an exceptional Applied AI Engineer to join our engineering team. You'll be responsible for solving the problem: What does it look like for a team building mission critical software to use AI to its maximum potential?
You'll work side-by-side with our engineers in Austin, building the tools and processes to keep us at the cutting edge, and using those tools to contribute to real production code.
What Will You Do?
Your mission is to level up the entire organization's impact and output by embedding AI deeply into how we engineer, operate, and make decisions.
You will:
  • Accelerate engineering velocity with AI: The frontier of AI development is moving fast, but the frontier of applying these advances to mission critical systems lags far behind. Your job is to solve for what this looks like today, and continually reassess the right balance as the tools improve.
  • Contribute meaningful production code: This is a real engineering role. You won't know the bar we need to hit if you aren't capable of delivering it yourself. You'll contribute directly to our core product and use AI to amplify your own impact, ensuring the workflows you build actually work in production.
  • Help shape AI functionality in our flagship product: Partner closely with product and engineering to ideate, prototype, and structure AI-powered product features.
  • Systematize AI usage across the team: Help identify and implement high-leverage AI use cases across the company and evolve our team from "everyone uses AI" to "everyone is effectively managing a team of AIs," with consistent quality, guardrails, and workflows.
  • Stay ahead of what's coming: Constantly experiment with new models, tools, and workflows, and exercise strong judgment about what's worth adopting for our company. Be the go-to person others learn from when it comes to AI, and share learnings so adoption actually sticks across the team.

What's In It For You?
  • Career-defining scope. You'll help define how teams building mission critical systems work with AI. We'll likely release our systems, thinking, and open source code publicly, and you'll be at the forefront of these breakthroughs.
  • Nerd out all day. While many engineers have to save their AI rabbit-holing for nights and weekends, it'll be the core of your day to day. Your job is literally to experiment, learn and develop the coolest things you can think of.
  • Work with an exceptional team. Work closely with Zach Obront (CTO), Danny Ryan (President), and engineers from Goldman Sachs, Circle, Bloomberg, Kraken, NEBRA, and more.

You are a strong engineer first, and deeply obsessed with what AI makes possible. These past few months have likely been some of the most exciting of your career, filled with late nights experimenting with new ideas.
You are likely:
  • A senior or mid-senior engineer who has already shipped and owned meaningful systems in production, with strong system-design instincts.
  • Obsessed with how AI is evolving software engineering. You code every day, and your family may be starting to worry whether you like Claude more than them.
  • Solutions-driven and personable - you take pride in being the go-to person who unblocks others, not just in what you personally build.
  • Gleefully curious about optimization, efficiency, and what engineering teams will look like years into the future.
  • Comfortable operating in ambiguity and grounding big ideas in production reality.
  • Likely contributing open-source work, side projects, or public experimentation with AI productivity tools because you just can't help yourself.
  • You treat your AI infrastructure as a production system to be engineered. You're deploying custom agent configs, CI/CD, or orchestration layers to manage agents across remote environments.

This role is likely not a fit if you are primarily interested in:
  • Pure AI research or model training. This role is focused on applying existing models and tools to real engineering workflows, not developing or training new models from scratch.
  • Short-term or advisory-only work. We're looking for someone who wants to embed deeply with the team and own outcomes over time, rather than designing frameworks and handing them off.
  • Automation disconnected from production engineering. The best ideas here are grounded in real code, real systems, and real constraints. You'll be expected to contribute production-quality code alongside building AI-enabled workflows.
  • Leading a team. This is an individual contributor role focused on building systems and workflows hands-on. While the AI team may grow over time, the expectation is that, for the foreseeable future, you'll be leading a team of AI agents, not people.
  • Working fully remotely. This role is designed to be highly embedded and collaborative. We spend 3 days per week together in the Austin office.

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