Job description

Our Company At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. What You Will Do We are seeking a Senior Platform Systems Engineer to help architect and evolve next-generation AI and database infrastructure platforms used in enterprise and hyperscale datacenter environments. This role combines system-level electrical engineering, power and thermal architecture, platform integration, and infrastructure engineering. You will work across compute, storage, networking, firmware, manufacturing, and datacenter power domains to ensure our platforms are scalable, resilient, manufacturable, and globally deployable. While power and thermal design experience are important aspects of this role, this is fundamentally a broad systems engineering position focused on end-to-end platform ownership rather than narrow component-level design. You will help drive technical decisions spanning: • Datacenter power architecture • Thermal and cooling strategies • High-density AI/GPU infrastructure • Manufacturing and factory integration • Platform validation and debugging • System automation and diagnostics • Cross-functional platform design This is a highly visible technical leadership role requiring strong engineering judgment, cross-functional influence, and the ability to operate effectively across multiple engineering disciplines. Key Responsibilities • Lead system-level design, integration, and validation of compute, storage, networking, power, and thermal infrastructure features across Teradata platforms • Define and validate platform-level power architecture, redundancy strategies, and thermal requirements for enterprise and AI-optimized systems • Partner with product, hardware, firmware, manufacturing, and systems engineering teams to prototype and productionize new platform capabilities • Lead complex root-cause analysis spanning hardware, firmware, operating systems, networking, storage, power, and thermal domains • Drive platform manufacturability and factory readiness, including production validation, engineering changes, and deployment standards • Develop and maintain validation, characterization, and automation tools using Bash, Python, or C-based utilities • Influence platform architecture through technical insight, industry awareness, and emerging infrastructure technologies • Support qualification and lifecycle management of electrical and electromechanical components including power supplies, PDUs, breakers, cabling, cooling systems, and infrastructure devices • Define and validate firmware configurations, deployment settings, and manufacturing handoff requirements for scalable production • Partner with global vendors, manufacturing partners, and field organizations to resolve integration and deployment issues • Support regulatory, EMC, and safety compliance activities for enterprise datacenter deployments • Contribute to next-generation high-density AI and GPU infrastructure designs, including advanced air and liquid-cooled systems What Makes You a Qualified Candidate Required Technical Skills: • Strong systems engineering background spanning server, storage, networking, or infrastructure platforms • Experience with datacenter power systems, redundancy models, and thermal design considerations • Strong knowledge of Linux systems and command-line environments • Experience with platform debugging and performance analysis tools such as fio, iostat, perf, sar, iperf, sysbench, or similar utilities • Proficiency with scripting or programming using Python, Bash, and/or C • Experience working with firmware, BIOS, BMC/iDRAC, or large-scale system configuration • Familiarity with high-speed networking technologies including Ethernet or InfiniBand fabrics • Experience with enterprise storage technologies including NVMe, RAID, distributed storage, replication, or erasure coding concepts • Understanding of rack-level infrastructure including PDUs, cabling, grounding, and power distribution concepts • Experience supporting manufacturing, system integration, or factory deployment activities • Familiarity with regulatory and EMC considerations in enterprise hardware deployments • Ability to operate beyond a single technical specialty into broader system-level ownership Preferred Qualifications • Experience with global three-phase datacenter power distribution architectures, including regional voltage/frequency standards, grounding methodologies, breaker coordination, and enterprise redundancy models (N, N+1, 2N) • Experience with AI, GPU, or high-density compute infrastructure • Experience with thermal characterization and cooling validation • Experience with liquid cooling technologies • Familiarity with datacenter facility interfaces and regional power standards • Experience working with global ODM/OEM vendors and manufacturing partners Education & Experience • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience • 8+ years of experience in systems engineering, platform engineering, infrastructure engineering, or related technical fields • Strong expertise in one or more domains such as: • Power and thermal systems • Linux systems • Server architecture • Storage technologies • High-speed networking • Infrastructure validation • Demonstrated technical leadership and cross-functional engineering ownership What you will bring • Strong technical leadership and systems thinking • Ability to navigate ambiguity and drive technical decisions across organizations • Confidence leading high-severity troubleshooting and root-cause analysis efforts • Excellent communication and collaboration skills across engineering, manufacturing, and business teams • Ability to influence without direct authority • Intellectual curiosity and continuous learning mindset • Comfort working in fast-paced environments with evolving technical priorities • Strong ownership mentality and bias toward execution Why We Think You’ll Love Teradata At Teradata, our people are at the heart of everything we do. We foster a people-first culture built on trust, flexibility, and respect—empowering our teams to make thoughtful decisions about how, when, and where they work. We place a strong emphasis on well-being, recognizing that success comes from supporting both personal and professional growth. Just as important, we are deeply committed to creating an inclusive environment where everyone is valued, respected, and celebrated for who they are. #LI-SK1

Requirements

Must-haves

We are seeking a Senior Platform Systems Engineer to help architect and evolve next-generation AI and database infrastructure platforms used in enterprise and hyperscale datacenter environments.
While power and thermal design experience are important aspects of this role, this is fundamentally a broad systems engineering position focused on end-to-end platform ownership rather than narrow component-level design.
You will help drive technical decisions spanning:
Datacenter power architecture
Thermal and cooling strategies
High-density AI/GPU infrastructure
Manufacturing and factory integration
Platform validation and debugging
System automation and diagnostics
Cross-functional platform design
This is a highly visible technical leadership role requiring strong engineering judgment, cross-functional influence, and the ability to operate effectively across multiple engineering disciplines.
Lead system-level design, integration, and validation of compute, storage, networking, power, and thermal infrastructure features across Teradata platforms

Nice-to-haves

Experience with global three-phase datacenter power distribution architectures, including regional voltage/frequency standards, grounding methodologies, breaker coordination, and enterprise redundancy models (N, N+1, 2N)
Experience with AI, GPU, or high-density compute infrastructure
Experience with thermal characterization and cooling validation
Experience with liquid cooling technologies
Familiarity with datacenter facility interfaces and regional power standards
Experience working with global ODM/OEM vendors and manufacturing partners
Education & Experience
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience
Strong expertise in one or more domains such as:
Power and thermal systems
Linux systems
Server architecture

Application prep

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