Cerence AI · 23 hours ago
Senior HPC Storage Engineer
Burlington, MA
Full-time
Onsite
Senior Level, Lead/Staff
8+ years expCerence AI is the global leader in supplying voice assistants and software solutions for car manufacturers. They are seeking a passionate Senior HPC Storage Engineer to join their Infrastructure Tribe, responsible for designing, developing, and running infrastructure for automotive products and services.
AutomotiveIndustrialIndustrial Automation
Responsibilities
Be a key member on a software development and system administration/devops team, working with team members around the world to deliver world-class solutions to our internal and external teams
Significant hands-on experience with distributed system and HPC environment
Experience with newest hardware for computation, training, storage, and networking
Experience running projects and capable of driving feature requests and issues to closure. Must be able to work independently when necessary
24/7 on-call as needed for emergencies and customer release windows
Qualification
Required
Bachelor's degree in computer science, Information Technology, or a related field
8+ years of experience in High-Performance Computing (HPC) within data center environments
5+ years of experience managing large-scale enterprise storage system Weka + Ceph or similar
Significant hands-on experience with distributed system and HPC environment
Experience with newest hardware for computation, training, storage, and networking
Experience running projects and capable of driving feature requests and issues to closure. Must be able to work independently when necessary
24/7 on-call as needed for emergencies and customer release windows
Design, deploy and maintain distributed HPC storage clusters, ensure high performance, massive scalability, reliability with built-in data protection and backup capabilities
Experience implementing HPC data management strategy for tiered storage management that optimizes cost and performance
Design and improve high-performance networking architectures for storage system, delivering low-latency data access for AI/ML workload
Storage benchmarking and performance tuning with experience analyzing throughput, latency, and IOPS
Lead data center expansion initiatives including adding more GPU nodes, upgrading network infrastructure, and managing cable planning and mapping
Solid knowledge of ethernet and InfiniBand networking, capable of diagnosing complex network-storage interactions
Familiar with broad types of storage systems such as NAS and object storage
Strong proficiency in Linux and batch/shell scripting
Proficiency in at least one high-level programming language (e.g., Python, Go, Java)
Knowledge of job scheduler Slurm, Kubernetes, Docker are plus
Flexible, adaptable learner who can quickly support both cloud and on-premises solutions
Effective mentor for less experienced team members, fostering growth and teamwork
Willing to work flexible or rotating shifts as required
Strong communication skills in English
Company
Cerence AI
Cerence AI (NASDAQ: CRNC) is a global industry leader in creating intuitive, seamless, AI-powered experiences across automotive and transportation.
1001-5000 employees
H1B Sponsorship
Cerence AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$190MKey Investors
Federal Ministry for Economic Affairs and Energy (BMWi)
2023-06-22Post Ipo Debt· $190M
2020-12-21Grant
2019-10-01IPO
Leadership Team
Brian Krzanich
CEO
Tony Rodriquez
Chief Financial Officer
Recent News
2026-01-06
Company data provided by crunchbase