Accelerate research towards new rack scale architectures, core methodologies and technologies in computing systems with a focus on technologies at HPE Labs.
Compensation
– United States of America: Annual Salary USD 99,320 - 149,760 in California
Responsibilities
Provide thought leadership and technical influence both internally and externally to HPE
Take innovative ideas and make them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Collaborate with HPE Labs research teams as well as with external partners
Requirements
PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. computer science, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
Nice to have: Designing, implementing, and managing rack scale architectures
Nice to have: Hybrid and multi-cloud strategies
Nice to have: Implementing sustainable data center practices
Nice to have: Understanding of sustainability regulations, standards, and best practices
Contribute to the development of breakthrough technologies for the next generation of computing systems in the Large-Scale Integrated Photonics Lab and the Emerging Accelerators Group at Hewlett Packard Labs.
Compensation
– United States of America: Annual Salary USD 90,002 - 193,752 in Colorado // 90,002 - 193,752 in California
Responsibilities
Conduct innovative research in integrated photonics, emerging electronics, and next-generation computing architectures
Design, model, and evaluate photonic, electronic, and electro-optic devices and systems
Develop CMOS, mixed-signal, and hardware accelerator circuits for advanced computing applications
Participate in the development of in-memory computing and AI acceleration technologies
Perform experimental characterization and testing of photonic and electronic devices
Define what reliability means for a GPU-accelerated AI platform and make it measurable. You will own the service-level indicators and objectives for the K0rdent Observability Framework (KOF) — deriving meaningful SLIs from the signals the platform already emits, and exposing them to Platform Administrators through a clean API. Work spans hybrid, edge, and air-gapped deployments built on the Mirantis K0rdent stack.
Responsibilities
Define SLIs and SLOs based on the signals available across the platform — Kubernetes, bare-metal hosts, and NVIDIA infrastructure (BMC, InfiniBand, NVLink, UFM).
Design and build the API that exposes SLIs and reliability state to Platform Administrators and downstream systems.
Establish alerting and error-budget practices that maximize signal and minimize noise.
Partner with infrastructure, storage, and networking teams to ensure the right signals are instrumented and collected.
Diagnose reliability and performance issues across the observability stack and drive their resolution.
Requirements
Nice to have: Bare-metal monitoring
Nice to have: NVIDIA infrastructure monitoring (BMC/Redfish, InfiniBand, NVLink, UFM)
Build Fluidstack's SST test capability, from a back-to-back full-power rig to high-voltage insulation testing, in-house or with a partner lab.
Responsibilities
Verify vendor and in-house SST hardware independently: efficiency curves, temperature rise, partial discharge, and fault response at rated voltage and power.
Run qualification and reliability campaigns (thermal cycling, power cycling, humidity, accelerated life) that catch insulation and solder failures before the field does.
Write the acceptance tests every production unit must pass, and the end-of-line test each unit runs before it ships.
Turn test results into pass, fail, or redesign decisions written so the architect, the vendor, and leadership can act on them.
Requirements
Nice to have: Certification testing (UL, IEC, witness testing with a test lab)
Nice to have: Data acquisition and automation (Python, LabVIEW, NI hardware)
Nice to have: Power analysis and fast current sensing (power analyzers, Rogowski coils)
Nice to have: Electrical safety practice (NFPA 70E, arc flash)
Technology Consultant 2 responsible for contributing to requirements elicitation, facilitating software application design, participating in coding, conducting code reviews, implementing test strategies, and resolving production issues within the context of Infosys' Retail, Consumer Goods, and Logistics unit.
Compensation
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:
Responsibilities
Contribute to the requirements elicitation process by documenting assigned parts of business requirements
Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, do changes to the codebase and maintain code repositories
Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have complete trust in the data, technology, and tools to make data-driven business decisions.
Locations (2)
Bellevue, Washington, United States
Irving, Texas, United States
Compensation
USA, TX, Irving - 154,600.00 - 209,100.00 USD annually
USA, WA, Bellevue - 154,600.00 - 209,100.00 USD annually
Responsibilities
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Python, SQL and AWS big data technologies.
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies of the team.
Designing and implementing complex pipelines and other Data Engineering solutions.
Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data.
Create extensible designs and easy to maintain solutions with the long term vision in mind
Manager, Production Network Performance, Amazon Leo
Lead a team that monitors Amazon Leo’s live satellite network performance, compares real‑time data with simulations, and drives performance improvements for customers worldwide.
Compensation
USA, WA, Redmond - 175,100.00 - 236,900.00 USD annually
Responsibilities
Hire and grow a multidisciplinary engineering team
Prioritize work with engineering and operations partners
Integrate simulations and models into a performance prediction framework
Own the automated pipeline that brings live system and network data, simulation predictions and test measurements together
Co‑develop automation interfaces with tool developers
Requirements
Bachelor's degree
Nice to have: Master’s or PhD in electrical engineering, statistics or related field
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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