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Remote Gpu Programming Jobs in Chicago, IL (NOW HIRING)

AI Data Engineer

Skokie, IL · Remote

$100K - $150K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Build high-throughput data loading systems that maximize GPU utilization during training.

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and ...

Remote Gpu Programming information

See Chicago, IL salary details

$34K

$66.9K

$98.4K

How much do remote gpu programming jobs pay per year?

As of Jul 25, 2026, the average yearly pay for remote gpu programming in Chicago, IL is $66,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $82,400.00 per year, depending on experience, location, and employer.

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 Chicago, IL? The most popular types of Gpu Programming jobs in Chicago, IL are:
What job categories do people searching Remote Gpu Programming jobs in Chicago, IL look for? The top searched job categories for Remote Gpu Programming jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Gpu Programming jobs? Cities near Chicago, IL with the most Remote Gpu Programming job openings:
Infographic showing various Remote Gpu Programming job openings in Chicago, IL as of July 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 20% In-person, and 80% Remote job distribution, with an average salary of $66,933 per year, or $32.2 per hour.

SRE / Network Engineer (MAAS) - Remote US

Pragmatike

Chicago, IL • Remote

$58.75 - $78/hr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Job Description

Location: Fully remote, LATAM timezone
Start date: ASAP
Languages: Fluent English is mandatory
Industry: Cloud Computing / AI European SaaS

Pragmatike is recruiting on behalf of a European deep-tech company developing a decentralized, energy-efficient alternative to traditional cloud providers. Their platform operates on distributed bare-metal infrastructure with advanced automation, delivering sovereign, high-performance compute for modern workloads.

Professional Background:

Were looking for an SRE / Network Engineer engineer with deep expertise in Metal-as-a-Service (MAAS) and bare-metal automation. You should have a strong Linux background and direct experience managing large-scale on-prem and cloud-adjacent infrastructures hundreds of nodes across multiple sites.

Startup or hyper-growth experience is a strong plus. Autonomy, speed, and problem-solving are essential.

Your Responsabilities:

  • Maintain and support core infrastructure systems with deep knowledge of Linux (Debian/Ubuntu preferred).

  • Work close to the metal: BIOS, IPMI, RAID setups, and hardware-level diagnostics are part of your comfort zone.

  • Design and maintain scalable networks using VLANs, L2/L3 routing, VPNs, and especially UniFi equipment.

  • Automate infrastructure provisioning and operations with Ansible, Bash/Python, and Git-based workflows.

  • Set up and manage observability stacks, including Prometheus/Grafana for metrics and Graylog, ELK, or Loki for log centralization.

  • Build tooling for server discovery, config auto-generation, automated OS deployments, PXE/Preseed/Cloud-init, and strong MAAS-based provisioning.

  • Integrate and/or develop internal APIs for tracking compute and GPU resource allocation, as well as external APIs (billing, monitoring, OpenStack, etc.).

  • Deploy and maintain virtualization and orchestration systems such as OpenStack (preferably with Kolla-Ansible), Proxmox VE, or VMware ESXi.

  • Support container-based workloads and isolate services efficiently.

What You Bring:

  • Expert-level Linux administration (preferably Debian/Ubuntu).

  • Strong MAAS / Ironic / bare-metal automation experience (mandatory).

  • Excellent networking fundamentals: VLANs, routing, VPNs.

  • Infrastructure as Code (Ansible), scripting (Bash/Python), GitOps.

  • Experience with monitoring and logging tools like Prometheus, Grafana, ELK/Graylog.

  • Comfort with custom deployment automation (PXE, Preseed, MAAS/Ironic).

  • Familiarity with resource tracking, API integrations, and dashboard development.

  • Proven experience with OpenStack, Proxmox, VMware, and container orchestration.

Nice To Have

  • Familiarity with firewall rules, access control, and security policies.

  • Experience with Cloudflare API for DNS management and tunnel setups.

  • IT asset management or software license tracking exposure is a plus.

Why Join Us:

Our client is shaping the future of cloud infrastructure through decentralization and advanced automation. Their mission is to deliver a sovereign, energy-efficient, high-performance alternative to traditional cloud providers.

Expect a dynamic, fast-paced environment valuing autonomy, ownership, and problem-solving, where your contributions directly influence the success of an ambitious and forward-thinking project.

 

Pragmatike• is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with the General Data Protection Regulation (GDPR), your personal data will be processed lawfully, fairly, and securely. We collect and use your personal data solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You have the right to request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.