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Remote Gpu Programming Jobs in Texas (NOW HIRING)

Senior Kubernetes Platform Engineer

Austin, TX ยท On-site +1

$121K - $160K/yr

... GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in ... Location:This is a remote position for employeesresidingwithin the United States We offer a ...

Sustaining Engineer

Austin, TX ยท On-site +1

$90K - $111K/yr

... delivers the automation, GPU orchestration, and policy-driven control needed to manage ... Knowledge of Go programming language * Knowledge of Kubernetes and Docker * Experience in designing ...

Senior Firmware Security Engineer

Austin, TX ยท On-site +1

$118K - $156K/yr

... GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in ... Location:This is a remote position for employees residing within the United States. We offer a ...

Senior Kubernetes Platform Engineer

Austin, TX ยท On-site +1

$54.75 - $70.50/hr

... GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in ... This is a remote position for employees residing within the United States We offer a competitive ...

Senior ML Engineer

Austin, TX ยท On-site +1

$103K - $142K/yr

... GPU infrastructure. Profile and tune for low latency and high throughput, and build robust ... Familiarity with RLHF or preference training is a bonus ๐Ÿ“ Location This is a remote-first role.

Principal Product Manager - Virtualization Architect This role has been designated as 'Remote ... The Product Manager works closely with engineering, customers, partners, and sales to identify ...

Principal Product Manager - Virtualization Architect This role has been designated as 'Remote ... The Product Manager works closely with engineering, customers, partners, and sales to identify ...

Principal Product Manager - Virtualization Architect This role has been designated as 'Remote ... The Product Manager works closely with engineering, customers, partners, and sales to identify ...

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Showing results 1-20

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, and why are they important?

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 job categories do people searching Remote Gpu Programming jobs in Texas look for? The top searched job categories for Remote 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 June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 6% Hybrid, and 94% Remote job distribution.
Senior Kubernetes Platform Engineer

Senior Kubernetes Platform Engineer

Cornelis Networks

Austin, TX โ€ข On-site, Remote

$121K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

At Cornelis we're building the future of AI and HPC networking with an AI-first approach to silicon and software development. We're seeking engineers who are energized by working on cutting-edge ASIC design and distributed software systems, and who are motivated to push the boundaries on how AI can transform everything from chip architecture to system performance at scale.


Cornelis Networks delivers the world's highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world's most demanding computational challenges with our next-generation networking solutions.

We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proventrack recordof building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles.

Cornelis Networks is seeking a talented and experienced Senior Software Engineer, Kubernetes Platform and Fabric Integrationtojoin our team and lead the integration of our advanced fabric management software with modern, cloud-native orchestration platforms. In this role, youwillbe responsible forarchitecting and developing the bridge between our existing cluster management tools and the Kubernetes ecosystem. You will design, build, andmaintainKubernetes operators, controllers, and other components necessary to ensure our high-performance interconnect solutions can be seamlessly deployed, managed, and scaled in containerized environments. This is a critical role that will directlyimpactour customers' ability toleverageCornelis Networks' technology in large-scale, modern data centers.

KeyResponsibilities:

  • Architect and Design:Lead the design of robust, scalable solutions for integrating Cornelis Networks'platform and fabric management softwarewith Kubernetes.
  • Develop Kubernetes Operators:Build and maintain custom Kubernetes Operators and Controllers in Go to manage the lifecycle of our software and hardware components within a cluster.
  • Cloud-Native Integration:Develop solutions that allow for the seamless orchestration of our high-performancefabric services and platform management toolsalongside other containerized workloads.
  • Cluster Management:Work on extending Kubernetes for managing specialized hardware, scheduling, and networking requirements unique to HPC and AI workloads.
  • Collaborate:Partner with the core platform, fabric, and hardware teams to ensure a cohesive and performant end-to-end solution.
  • Upstream Contribution:Engage with the open-source community and contribute to relevant projects within the cloud-native ecosystem.
  • Documentation and Best Practices:Author high-quality technical documentation and champion best practices for software development in a cloud-native environment.
  • Leverage AI-powered toolsto accelerate software development workflows, including intelligent code generation, refactoring, and performance optimization.
  • Apply AI-driven techniquesfor automated code review, testing, and quality assurance to improve reliability and reduce development cycles.


MinimumQualifications:

  • 5+ years of professional software development experience.
  • Proven experience in designing and developing solutions for Kubernetes, including building custom operators/controllers using tools like the Operator SDK orKubebuilder.
  • StrongproficiencyinGo. Experience with C++ or Python is also valuable.
  • Deep understanding of Kubernetes architecture, including the control plane, networking (CNI), and storage (CSI) interfaces.
  • Hands-on experience with container technologies such as Docker orcontainerd.
  • Demonstrable experience in integrating existing software platforms or services with Kubernetes.
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.


Preferred Qualifications:

  • Experience with high-performance computing (HPC) or high-performance networking.
  • Familiarity with performance-sensitive environments and low-latency application requirements.
  • Experience with monitoring and observability stacks like Prometheus, Grafana, andFluentd.
  • Knowledge of CI/CD principles and experience building deployment pipelines.
  • Contributions to open-source projects in the Kubernetes or cloud-native ecosystem.

Location:This is a remote position for employeesresidingwithin the United States

We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.


At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.


In addition to your base pay, you'll have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.


Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.