Phantom AI
Linux System Engineer
Phantom AI, Mountain View, California, us, 94039
About Us
At Phantom AI, we've built a team of incredibly talented and ambitious people challenging the norm in the automotive industry. We are building cost-effective L2/L3 solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and Emergency Lane Support is the first priority before tackling a fully self-driving vehicle. Our main customers are Tier 1 automotive manufacturers who are focused on delivering L2/L3 solutions and in the future will deliver full autonomy.
We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at a volume production scale. If you feel that you have the passion, commitment, and drive to challenge the status quo within the automotive industry, we would love to hear from you.
Key ResponsibilitiesSupport the AI/ML cluster infrastructure on GPU focusing on systems automation, configuration management and deployment at scaleImprove our cluster health monitoring and auto-recovery pipelineWork with users on debugging application performance issuesWork with hardware and storage vendors to tune and optimize our servers, TrueNas storage and networkAutomate and Deploy GPU cluster with AnsiblePerformance tuning and OS provisioning on Linux systemsManage HPC clusters, workloads and applicationsAvailability 24x7 on-callQualifications
Bachelor's degree in computer science, electrical engineering or related fieldStrong understanding of Linux fundamentals and performance optimizations (Ubuntu)Advanced experience with SLURM configuration management systems, starting from scratchDemonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocolsExperience in collaborating with network and data center teams for large scale cluster buildsExperience with configuration management software systems monitoring and alerting (Prometheus, Grafana, Telegraf, Splunk, etc.) and/or administering HPC workload managers (SLURM)Experience with high-throughput low-latency networks, GPU-based computing systems, and/or high performance storage systemsExperience with Slurm and storage management of distributed parallel file systems a plus3+ years of additional equivalent experience or evidence of exceptional ability related to the positionBenefits
This is a contract positionOffice snacks & reimbursable meals* when in-office
Work Type
Remote or In-Office
Equal Opportunity for Diversity & Inclusion
Phantom AI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
At Phantom AI, we've built a team of incredibly talented and ambitious people challenging the norm in the automotive industry. We are building cost-effective L2/L3 solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and Emergency Lane Support is the first priority before tackling a fully self-driving vehicle. Our main customers are Tier 1 automotive manufacturers who are focused on delivering L2/L3 solutions and in the future will deliver full autonomy.
We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at a volume production scale. If you feel that you have the passion, commitment, and drive to challenge the status quo within the automotive industry, we would love to hear from you.
Key ResponsibilitiesSupport the AI/ML cluster infrastructure on GPU focusing on systems automation, configuration management and deployment at scaleImprove our cluster health monitoring and auto-recovery pipelineWork with users on debugging application performance issuesWork with hardware and storage vendors to tune and optimize our servers, TrueNas storage and networkAutomate and Deploy GPU cluster with AnsiblePerformance tuning and OS provisioning on Linux systemsManage HPC clusters, workloads and applicationsAvailability 24x7 on-callQualifications
Bachelor's degree in computer science, electrical engineering or related fieldStrong understanding of Linux fundamentals and performance optimizations (Ubuntu)Advanced experience with SLURM configuration management systems, starting from scratchDemonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocolsExperience in collaborating with network and data center teams for large scale cluster buildsExperience with configuration management software systems monitoring and alerting (Prometheus, Grafana, Telegraf, Splunk, etc.) and/or administering HPC workload managers (SLURM)Experience with high-throughput low-latency networks, GPU-based computing systems, and/or high performance storage systemsExperience with Slurm and storage management of distributed parallel file systems a plus3+ years of additional equivalent experience or evidence of exceptional ability related to the positionBenefits
This is a contract positionOffice snacks & reimbursable meals* when in-office
Work Type
Remote or In-Office
Equal Opportunity for Diversity & Inclusion
Phantom AI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.