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Remote Manager Linux Kernel Engineer Ubuntu Jobs in Texas

BitDeer

Senior GPU Systems & Fabric Engineer

Austin, TX · On-site +1

$180K - $320K/yr

This role requires deep expertise in Linux kernel internals, GPU architectures, and high-speed ... Build and manage automated hardware remediation pipelines using DCGM telemetry to proactively ...

Cisco

Site Reliability Engineer, Linux (Remote)

Austin, TX · On-site +1

$56.50 - $75/hr

We manage the critical layer across 6,000 servers as they transition into a modern Kubernetes ... By working across the full stack-from kernel modules to container orchestration-you will directly ...

Kyndryl

Mainframe z/VM & Linux

Dallas, TX · On-site +1

RHEL, SUSE, Ubuntu * Support deployment and management of Linux workloads on z/VM * Ensure system ... Support DevOps and integration initiatives: * CI/CD pipelines * Container platforms (Docker ...

Cornelis Networks

AI Platform Engineer

Austin, TX · On-site +1

... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ... Linux kernel drivers * Firmware * Embedded systems * ASIC development * Hardware/software ...

Exacta

IT Infrastructure & Systems Engineer

Austin, TX · Remote

JOB SUMMARY We are seeking an experienced IT Infrastructure and Systems Engineer with a strong background in Linux (Ubuntu), server virtualization, and remote server/network management. This role ...

Axiado

System Engineer - Platform Integration

Austin, TX · On-site +1

$80K - $200K/yr

... management. Our technology protects the world's most critical infrastructure-from data centers to ... You will leverage deep expertise in Linux kernel internals and low-level communication protocols ...

Neuralink

Software Engineer, CI/CD

Austin, TX · Remote

This includes remote caching, remote execution, target identification and selection, etc. * Operate ... management, and custom executor integrations * Expertise in operating UNIX systems, including Linux ...

TurboTax CPA Select

Django Python Developer

Plano, TX · On-site +1

Remote or Dallas/Austin based developers will be considered. Requirements Extensive experience with ... Linux command line (Ubuntu or Centos) Experience with performance optimization, scaling, event ...

TurboTax CPA Select

Django Python Developer

Plano, TX · On-site +1

Remote or Dallas/Austin based developers will be considered. Requirements Extensive experience with ... Linux command line (Ubuntu or Centos) Experience with performance optimization, scaling, event ...

SpaceX

Sr. Network Security Engineer

Bastrop, TX · Remote

$58.25 - $76/hr

Own the full lifecycle of remote access infrastructure from initial design and ground-up ... Manage Linux-based infrastructure and network security systems with end-to-end ownership of ...

YO AI Labs

CUDA Software Engineer - Remote

Dallas, TX · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

YO AI Labs

CUDA Software Engineer - Remote

Houston, TX · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

YO AI Labs

CUDA Software Engineer - Remote

Austin, TX · Remote

$60 - $100/hr

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Strong expertise in CUDA programming and GPU kernel optimization . * Advanced C++ development ...

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Senior GPU Systems & Fabric Engineer

Austin, TX • On-site, Remote

BitDeer
See more jobs at BitDeerexternal

$180K - $320K/yr

Full-time

Posted 10 days ago

Job description

Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers and building AI computational infrastructure to support the AI revolution. Bitdeer handles complex processes involved in computing such as equipment procurement, transport logistics, data center design and construction, equipment management, and daily operations. Bitdeer also offers advanced cloud capabilities to customers with high demand for artificial intelligence.
Headquartered in Singapore, Bitdeer has deployed data centers across multiple countries, including the United States, Norway, Bhutan, and Ethiopia.
To learn more, visit https://ir.bitdeer.com/
Position Overview
We are seeking a Senior GPU Systems & Fabric Engineer to serve as the critical bridge between our physical GPU/network infrastructure and the Kubernetes abstraction layer. You will be responsible for creating the high-performance 'hardware foundation' that makes AI-native cloud computing possible. This role requires deep expertise in Linux kernel internals, GPU architectures, and high-speed interconnects, as you will be tasked with transforming raw, bare-metal compute resources into scalable, resilient, and multi-tenant cloud primitives. You will drive the design of our fabric layer, ensuring that our AI workloads have the low-latency, high-bandwidth environment they require to perform at industry-leading speeds.
Key Responsibilities
  • Architect and maintain integrations for NVIDIA/AMD GPU device plugins and Kubernetes Operators to expose hardware capabilities to the control plane.
  • Configure and optimize high-performance host networking stacks, including RDMA, SR-IOV, RoCEv2, and InfiniBand, ensuring line-rate throughput for distributed AI training.
  • Build and manage automated hardware remediation pipelines using DCGM telemetry to proactively identify, isolate, and reset degraded GPU/NIC components before they impact production jobs.
  • Implement and manage sophisticated GPU slicing technologies (MIG, vGPU) to enable efficient multi-tenant inference workloads and maximize cluster utilization.
  • Profile and tune kernel-level parameters, device drivers, and runtime libraries (CUDA, NCCL) to resolve bottlenecks and optimize containerized AI workloads.
  • Collaborate with the Scheduling and Storage engineering teams to ensure topology-aware placement and efficient data movement across the fabric.
  • Define and enforce operational standards for bare-metal provisioning, BIOS/firmware updates, and OS hardening within the containerized environment.
  • Lead technical investigations into complex performance issues spanning hardware, fabric, and software, providing actionable architectural insights.
  • Mentor team members and drive documentation standards for our evolving AI hardware stack.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
  • 5+ years of systems engineering experience, with strong proficiency in Linux kernel internals, C, or Go.
  • Hands-on experience with GPU architectures (NVIDIA H100/A100), CUDA runtimes, and distributed networking (RDMA, InfiniBand).
  • Deep understanding of containerized environments and Kubernetes device plugin architecture.
  • Proven track record of operating, debugging, and scaling bare-metal systems in large-scale production or HPC environments.
  • Familiarity with infrastructure automation (e.g., Terraform, Ansible, CI/CD pipelines) for managing hardware lifecycles.
  • Strong problem-solving skills, with the ability to navigate ambiguous performance challenges at the intersection of hardware and software.
  • Excellent communication skills, with a collaborative approach to working across infrastructure, scheduling, and reliability teams.
  • Experience working in high-velocity, high-growth engineering environments is strongly preferred

Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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