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About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform,…
Get to Know the Team The AI Platform (AIP) team builds and operates the core ML and AI infrastructure that powers Grab. Our stack spans model serving, ML pipelines, data serving, AI infrastructure, and Applied…
The Opportunity Adobe's AI and generative AI products, from Firefly to the intelligence built into Creative Cloud and Experience Cloud, run on a shared compute and inference platform. It's the infrastructure…
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
Kernelize builds compiler backends for AI accelerators to enable and optimize Triton kernels for broad adoption for ML training and inference. We bridge the gap (disconnect) between AI optimizers and HW vendors'…
A Member of Technical Staff on the AI Training Platform builds and scales the infrastructure used to train, evaluate, and benchmark models — including multi-node distributed training, the proprietary training framework, and CUDA/Triton kernel optimization — to help researchers map neural networks onto the company's novel physics-based compute hardware.
Principal Software Development Engineer at Zscaler (hybrid, Bangalore) on the ZPA team, acting as a hands-on technical leader for large-scale Generative AI platforms and agent systems in production. Day to day involves building MCP servers, deploying containerized AI workloads with Docker/Kubernetes, and defining engineering standards for enterprise AI.
ML Systems Engineer at Final, an HFT/trading-algorithms firm in Ramat Hasharon, building and optimizing proprietary deep learning systems for live trading. Day-to-day involves running DL models on large GPU clusters and adapting them for production serving, using PyTorch, Python/C/C++, and custom CUDA/Triton kernels.
Develops and optimizes machine learning systems for autonomous driving, focusing on runtime performance and efficiency across cloud and vehicle platforms using deep learning frameworks and compiler tools.
Senior ML Engineer builds and optimizes high-performance inference engines for autonomous vehicle ML models, balancing real-time onboard constraints with offboard data center demands using frameworks like JAX, XLA, and CUDA.
Optimize and benchmark AI model performance across hardware platforms for Microsoft's AI services, focusing on large-scale LLM inference and deployment efficiency.
Mobile diesel technician diagnosing and repairing light/medium duty gas and diesel trucks and equipment, focusing on chassis, suspension, HVAC, engine, transmission, and electrical systems using computer diagnostics.
The Principal AI Engineer will design and build the SeekrFlow Edge Builder platform to enable the deployment and management of trustworthy AI solutions across diverse environments including edge and air-gapped systems. The role involves working across infrastructure, security, and AI layers to create scalable, secure, and repeatable deployment workflows.
The Senior Site Reliability Engineer will lead the design, architecture, and observability of Seekr's AI platform to ensure system reliability and performance. The role involves collaborating with engineering teams to manage hybrid cloud infrastructure, automate operational tasks, and handle incident response.
Design and operate Kubernetes-based GPU infrastructure and AI serving platforms for large-scale model training, inference, and autonomous agents using Python, Go, or Rust.
Architect and scale ML infrastructure for game AI systems, focusing on model serving, orchestration, and deployment workflows to move models from experimentation to production reliably.
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