Drive technical direction and execution of AI and Generative AI workloads on GPU platforms.
Responsibilities
Lead exploration and optimization of emerging workloads including LLMs, transformer-based models, computer vision, and other AI/ML applications.
Collaborate across architecture, compiler technologies and frameworks such as TVM, MLIR, and IREE, software, performance, and product teams to drive solutions from early exploration through product-quality implementation.
Provide technical leadership, conduct design reviews, and mentor engineers working across GPU AI initiatives.
Develop and optimize GPU solutions leveraging capabilities such as matrix acceleration, mixed-precision computation, quantization, and other hardware acceleration features.
Analyze end-to-end AI workload performance and identify bottlenecks across models, frameworks, compilers, runtimes, GPU kernels, and hardware architecture.
Requirements
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
Master's degree in Engineering, Information Systems, Computer Science, or related field
PhD in Engineering, Information Systems, Computer Science, or related field
Lead and manage complex, strategic programs across engineering, product, operations, and business stakeholders to deliver new and existing products and services.
Compensation
US: Hiring Range in USD from: $91,000 to $209,500 per annum. May be eligible for bonus and equity.
Responsibilities
Plan, execute, and deliver complex strategic programs
Coordinate cross-functional teams and stakeholders
Develop and manage program plans, schedules, milestones, risks, dependencies, and budgets
Drive execution from initiation through successful delivery
Identify and mitigate risks, resolve complex issues, and communicate status to executive leadership
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience
Provide server support for Micron’s Engineering design teams, ensuring high uptime and availability in a Linux environment, driving automation and configuration management.
Responsibilities
Provide best in class computer support for engineering design teams
Serve as a technical leader and escalation point for technologies supporting the Linux compute space
Drive innovation and automation of computer solutions internally and for customers
Own the Network and Zero Trust domain as design authority for GSK. Zero Trust is a current Cyber Architecture and Solutions priority being built from the ground up rather than maintained.
Responsibilities
Act as design authority for Network and Zero Trust architecture across GSK.
Own the Zero Trust policy framework: device trust, identity trust and application access policy.
Own network segmentation and micro segmentation standards across the estate.
Own SASE and SD-WAN security architecture, secure remote access design and DNS security architecture.
Produce architecture specifications that Solution Engineering builds from without reinterpretation.
Requirements
Bachelor's degree in a relevant discipline, or equivalent professional experience.
A high-level program management role focused on driving Rhythm of the Business, ensuring alignment across OCI teams, and building partnerships with engineering and business leaders.
Compensation
US: Hiring Range in USD from: $91,000 to $209,500 per annum. May be eligible for bonus and equity.
Responsibilities
Work to drive Rhythm of the Business activities
Drive organizational success
Bring teams across OCI toward a unified north star, ensuring alignment, visibility, and progress across all stakeholders
Serve as the connective tissue between teams, identifying gaps early, removing blockers, and maintaining steady execution
Build trusted partnerships with senior engineering and business leaders to drive initiatives forward with confidence
Own complex deployments and repairs, mentor technicians, lead projects, and improve data center operations for DigitalOcean’s cloud and AI platform.
Compensation
$106,000 - $130,000
Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.
Responsibilities
Own complex deployments from start to finish, including GPU and AI infrastructure, servers, network, and storage hardware
Serve as an escalation point for troubleshooting complex and recurring hardware, network, GPU, and Linux OS issues
Lead reviews of data center events and incidents, using data to find root causes and drive fixes to timely resolution and closure
Review new data center spaces, cages, and suites against power, cooling, and cabling standards
Write, review, and approve operational documentation, runbooks, and procedures, and improve and standardize site procedures
Requirements
Bachelor’s degree or 4 years of equivalent work experience
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