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About Us: Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000…
As a Principal Software Engineer at JPMorganChase within the Chief Data and Analytics Office (CDAO), you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver…
Overview of the Role: Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments,…
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total…
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
Designs and optimizes large-scale AI inference systems for SpaceX’s mission-critical applications, focusing on distributed infrastructure, low-latency model serving, and GPU-level optimizations to accelerate internal AI workloads.
We are developing next-generation AI and machine learning capabilities for the da Vinci robotic surgical platform. As a Staff Machine Learning Engineer, you will lead the design and development of perception and scene…
Build and deploy production-grade AI systems for edge environments like offshore platforms, mines, and autonomous vehicles, optimizing models for latency, robustness, and security across disconnected settings.
ML Engineer owning end-to-end computer vision projects for power grid infrastructure analytics—detecting defects, thermal anomalies, and vegetation encroachment—using PyTorch, Python, and deep learning models in production.
Build and deploy computer vision models for power grid infrastructure analytics—defect detection, thermal anomalies, vegetation monitoring—using PyTorch, Python, and modern deep learning, bridging research papers to production systems.
Design and build scalable, multi-tenant AI inference services and APIs using Go and Kubernetes, focusing on GPU utilization and large-scale workloads.
Build and deploy agentic AI systems for semiconductor design workflows, optimizing LLM inference and multi-agent orchestration on large-scale compute infrastructure.
You will own the inference serving stack and define its technical direction and measurement roadmap. You will improve latency throughput memory efficiency and serving cost while maintaining model-quality standards. You…
The ML Engineer will productionize NLP, audio, and document models for the Orcrist Intelligence Platform using Kubernetes, Triton, and KServe. The role involves building evaluation pipelines, managing inference infrastructure, and collaborating with research teams to deploy models for defense and enterprise clients.
You've probably walked past our lockers on the streets of your city. That's where it starts! But we're building something much bigger: the infrastructure layer for how Europe receives deliveries. We've…
Build AI-assisted automation in Go and Python to eliminate manual infrastructure tasks, partnering with teams to scale DigitalOcean’s cloud platform efficiently.
Designs and implements an MLIR-based compiler stack for custom AI silicon in telecom, lowering ML models to multi-core processors with accelerators.
Lead AI infrastructure sales engineering for a high-performance inference platform, bridging customer needs with technical and commercial realities. Focus on team leadership, strategic PoC-to-production transitions, and aligning engineering resources with revenue goals.
Geometry with consequences. Deep learning on 3D CAD data where correctness translates into steel and aluminum, not pixels. The ultimate tinkerer's playground. Physical machines, shop floors, and modern cloud…
Builds and prototypes AI integrations for Nebius’s cloud platform, shaping reference architectures and product requirements while collaborating with partner engineering teams.
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