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As a Data Engineer you'll build robust data products and pipelines, working deeply with Databricks and taking full ownership from initial requirements all the way through to production. You won't be working in a silo.
We moved to Snowflake a year ago and have just implemented dbt with Git. The foundations are in place. Now we need a hands‑on lead to embed them, lift the team's capability, and scale data engineering across HealthShare NSW.
This job will use your knowledge and direction to influence decisions as an advisor, establishing overall business or technical strategy with significant impact on PayPal operations. You will focus on strategy and executive-level decision-making to enhance sales team efficiency.
Client Server Limited is seeking a Data Engineer to join a UK-based team working on Greenfield systems with a modern tech stack (Python ETL on AWS SaaS). The role offers fully remote work within the UK and a salary up to £95k, with a base around £80k.
Are you a Cloud savvy Data Engineer seeking an opportunity to work on complex, Greenfield systems using the latest tech? You could be progressing your career at a hugely successful European car insurance tech company as they expand their UK presence.
This role can be performed anywhere in the Pacific Coast region of the United States. We serve as the technical authority guiding Global 2000 enterprises to safely develop, benchmark, and scale autonomous multi-agent systems and mission-critical LLM applications.
As part of this role, you will also be responsible for maintaining services in a FedRAMP compliant environment, therefore, you must be a U.S. citizen. This position may also perform work that the U.S. government has specified can only be performed by a U.S. citizen on U.S. soil.
Establish and maintain effective working relationships with all stakeholders. Understand the high and low level technical architecture and be able to facilitate debate and drive decisions on appropriate solutions.
NVIDIA · 13d ago
Act as the technical point of contact for startups and developers who are building native LLM and multi-modal applications or want to add AI Agents to their existing apps.
Member of the Global Payroll team and assistant of 23 European payrolls including but not exhaustive: Implementation of Global Payroll System.
Empower and mentor partners, customers, and colleagues, sharing your expertise to help them grow and succeed. Play a key role in shaping and supporting strategic plans that drive innovation at national, regional, and city levels across diverse global communities. global region.
developing scalable library software using modern tools and languages for various numerical method. performance tuning, optimization, and benchmarking of algorithms on various architectures.
Take ownership and drive customer issues with Ethernet or InfiniBand network adapter/DPU deployments from inception to resolution.
In this role, you will develop innovative solutions that advance AI infrastructure capabilities, advise infrastructure experts on the demands of ML workloads, help practitioners diagnose and solve full-stack AI and ML system problems, and work on a team with direct…
Develop and demonstrate Physical AI solutions based on Hyperscalers and NVIDIA’s pioneering software and hardware technologies to developers.
Lead technical engagements: Build trusted relationships with senior research, engineering, and infrastructure leaders at frontier AI labs and model builders. Serve as a primary technical point of contact across NVIDIA and the partner organization.
Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases.
Hardware design-in & bring-up: Support integration of NVIDIA silicon (GPUs, ConnectX NICs, BlueField DPUs, Grace & Vera CPUs) into partner system architectures. Participate in schematic reviews, PCB stack-up reviews, EVT/DVT bring-up.
Create fruitful technical engagements with ISVs across the engineering design and manufacturing ecosystem and lead strategic relationships with key opinion leaders, top developers, and influential researchers.
Execute the EMEA Agentic AI Platform GTM plan across open models, Nemotron adoption, regulated software hardening, confidential computing, cybersecurity, and secure AI deployment.
Engage AI Natives startups, scaleups, and labs to understand their goals, strategies, and technical and business needs. Help define and deliver high-value solutions that meet these needs.
Drive Public Sector Market Growth: Develop and carry out market entry plans with government organizations, public agencies, research institutions, system integrators, cloud providers, and ecosystem partners to speed up the adoption of NVIDIA solutions.
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