Physical Infrastructure Engineer – On-premise

Waabi

Physical Infrastructure Engineer at Waabi enhancing ML infrastructure for autonomous vehicles. Collaborating with teams on network and compute systems to support self-driving technology.

Posted 7/22/2026full-timeDallas • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing high-performance computing and network systems, with a strong focus on vehicle compute and data pipeline management. Proficient in Linux system administration, container orchestration, and CI/CD practices, while fostering collaboration within multidisciplinary teams.

Highest-signal resume keywords

Linux System AdministrationHigh Performance Network DesignContainer Orchestration (Docker, Kubernetes)CI/CD PipelinesConfiguration Management (Ansible)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonBashPerformance TuningLow Level DebuggingNetwork EquipmentOn-Premise ServersStorage SystemsAgile/ScrumInfrastructure as Code (Terraform)Automated OS Image Building

Soft Skills

Collaborative Team PlayerOpen-MindedProblem SolvingInnovative Thinking

Tools & Technologies

AWSCI/CD ToolsAnsibleDockerKubernetesTerraformKubeflowMLFlow

Industry Keywords

Self-Driving TechnologiesVehicle ComputeData SecurityAccess ManagementRugged Wireless TechnologiesScale-Out Storage SystemsPublic Cloud Platforms

Tech Stack

Tools & technologies

AnsibleAWSCloudDockerKubernetesLinuxPythonRustTerraform

About the role

Key responsibilities & impact

Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
Collaborate with hardware team on vehicle compute and network designs and implementation.
Work with software and hardware teams on OS and software delivery into vehicles.
Assist with vehicle compute and network performance tuning and diagnostics as needed.
Work with software and hardware teams to implement and maintain high volume data pipelines.
Work on multiple projects designing, building, deploying tools, systems and infrastructure to support vehicle development.
Design and implement high performance physical networks and computing systems.

Requirements

What you’ll need

BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.
5+ years of relevant industry experience.
Deep understanding of computer and network hardware and how detailed selection affects performance and reliability.
Experience with on-premise servers, network equipment and storage systems.
Experience in Linux and Linux kernel (packaging, performance tuning, low level debugging, hardening).
Experience with configuration management (Ansible preferred) and system administration.
Familiarity with security concepts, access management, and data security.
Experience with containers and container orchestration (i.e., Docker, Kubernetes).
Experience with high performance network design and debugging.
Experience with CI/CD pipelines and release management.
Experience with Python and Bash.
Open-minded and collaborative team player with the willingness to help others.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Experience working in an Agile/Scrum environment- Able to travel occasionally to United States.
Bonus:
Experience with rugged wireless technologies (ie. LTE/5G modems).
Experience with scale-out storage systems.
Experience working with public cloud platforms (AWS preferred).
Experience with infrastructure as code systems (Terraform preferred).
Experience with automated building of OS images for deployment onto physical computers.
Familiarity with self-driving vehicle sensors and hardware.
Some experience in reading and developing production quality software.
Familiarity with GO, Rust or C++ ecosystems.
Experience with building platform services that enable other teams to do their best work.
Experience in common ML tools, workflows and frameworks (i.e. systems like Kubeflow or MLFlow).

Benefits

Comp & perks

Competitive compensation and equity awards.
Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
Unlimited Vacation.
Flexible hours and Work from Home support.
Daily drinks, snacks and catered meals (when in office).
Regularly scheduled team building activities and social events both on-site, off-site & virtually.
As we grow, this list continues to evolve!