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Remote Gpu Programming Jobs in Texas (NOW HIRING)

... remote troubleshooting of our highest tier of supercomputing clusters and their networking ... HPC - administering GPU-related workloads * Bachelor's degree in a related field or equivalent ...

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Remote Gpu Programming information

What are some common challenges faced by professionals in remote GPU programming roles, and how can they be addressed?

Remote GPU programming roles often involve unique challenges such as managing high-latency connections to remote servers, troubleshooting hardware-specific issues without physical access, and ensuring code compatibility across different GPU architectures. Effective communication with distributed teams is crucial, as is using robust remote debugging tools and version control systems. Staying proactive with documentation and regularly syncing with team members can help address these obstacles and support successful project delivery.

What is remote GPU programming?

Remote GPU programming refers to the practice of developing and running code that utilizes graphics processing units (GPUs) on computers or servers that are accessed over a network, rather than on your local machine. This approach allows developers to leverage powerful, often cloud-based, GPU resources to handle computationally intensive tasks like machine learning, scientific simulations, or rendering without needing specialized hardware themselves. It often involves using remote desktop tools, cloud platforms, or custom APIs to access and manage GPU resources remotely.

What are the key skills and qualifications needed to thrive as a remote GPU programmer?

To thrive as a Remote GPU Programmer, you need in-depth knowledge of parallel computing, proficiency in programming languages like C/C++, and experience with GPU architectures, often backed by a degree in computer science or a related field. Familiarity with technical tools such as CUDA, OpenCL, and GPU profiling/debugging systems is commonly required, along with certifications in GPU programming or high-performance computing. Strong problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in distributed teams. These competencies are crucial for efficiently developing and optimizing GPU-accelerated applications while collaborating across remote environments.
What are the most commonly searched types of Gpu Programming jobs in Texas? The most popular types of Gpu Programming jobs in Texas are:
What cities in Texas are hiring for Remote Gpu Programming jobs? Cities in Texas with the most Remote Gpu Programming job openings:
Infographic showing various Remote Gpu Programming job openings in Texas as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% Remote job distribution.

Senior DevOps Engineer (Active Secret Clearance)

Striveworks

Austin, TX • On-site, Remote

$185K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

“In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it.” — Dr. Jim Rebesco, Cofounder and CEO, Striveworks 

The government’s demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it.

Striveworks was built to solve that problem.

What you’d build

Since 2018, we have delivered the most trusted AI systems operating in real-world use cases—providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.

As a Senior DevOps Engineer, you are where the platform meets the mission. Our systems stay online and reliable in the field because of what you build, automate, and maintain. Working across teams, you\'ll define what needs to be built, deploy it, and keep it running across commercial, unclassified, CUI, and classified DOD networks. When there\'s a problem without an owner, you take it. New technologies are yours to explore, and the engineers behind you will learn from watching you work.

What it’s like here

We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership—because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice.

What we’re looking for

6+ years of direct, hands-on experience in:

  • Microservice deployment in Kubernetes
  • Diagnosing and resolving issues within containerized environments
  • Helm Chart and Kustomizations development/deployment
  • Python and/or Golang programming, or other general purpose programming languages
  • Automation and IaC, e.g., Terraform
  • Cloud infrastructure: AWS and Azure
  • Managing and troubleshooting Linux systems, e.g., networking and bash scripting
  • Active Secret (or above) US security clearance and US citizenship

The following isn\'t required, but we\'d love to see it:

  • Familiarity with DOD networking, tools, infrastructure, security requirements, and policies
  • Proficiency with US federal information system security policies, including STIGs, NIST SP 800-171, NIST SP 800-53, CMMC, and ICD 503
  • Experience with software deployments to on-premises and cloud-based unclassified, CUI, and classified networks within the DOD
  • Experience with DevSecOps/DevOps and CI/CD for the administration and deployment of GPU-enabled servers
  • Experience deploying or maintaining CNCF projects
  • Experience with NAS and SAN technologies
  • Experience with Kubernetes and cloud-native applications and services in DDIL environments

You will be remote or hybrid out of our Austin office. This role requires travel up to 20% of the time.

Compensation

The anticipated base pay range for this position is $185,000–$230,000/year. Striveworks\' total compensation package includes a competitive base salary, equity grants, and cash bonuses.

Benefits include:
  • Medical/dental/vision insurance
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Ready to build systems that work for a mission that matters? Let’s talk.

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact People Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.